Introduction WaPOR Catalogue, Data Access and Download¶

Step 0a: Register in WaPOR Portal and obtain WaPOR API Token¶

WAPOR V2 meta data review and inital time series data retrieval. Ensure you have the WaPOR site package is installed (see the content in the folder 'Modules') and have an API token at your disposal. To get an API Token, Sign up/Log into the Portal on WaPOR portal. Click Sign in. If you don't have an account, create a new account, then log in. After logging in, go to My WaPOR > My Profile. Under API Token, click Generate API Token. The API Token is the User's personal key and should be stored (e.g. as a *.txt file on your local system) and kept private.

Step 0b: Import modules/libraries¶

Before continuation with WaPOR, we first need to install a few required resources in the Copernicus Data Space Ecosystem, like GDAL, Pyshp and Matplotlib. If not installed execute the code field below. Within the Copernicus Data Space environment, the system is ‘cleaned’ on a daily basis, but files situated within the folder ‘mystorage’ are retained. This storage area, having a size of 10 GB, is preserved when you logout. This entails also that you have to re-install the resources, like additional python site-packages when you start a new session a couple of days later. Note that first time installation of these resources will take some time. Once these site-packages are installed we can import them and make use of their capabilities.

In [1]:
import os                         # module for interacting with the operating system
import shapefile                  # module for reading shapefile
import matplotlib.pyplot as plt   # module for plotting
import sys
import pandas as pd
import warnings
import numpy as np
np.warnings = warnings

folder = os.getcwd()+'/Modules'
sys.path.append(folder)    #add folder with local modules to system paths  #change working directory to 'Modules' folder
import WaPOR               # Import local module in 'Modules' folder
37114a36931aec3bf805f1dcb539f45988db07524612ff61da8d9469961c857e3b07ee2d5a9a8df6

Step 0c: Familiarize yourself with WaPOR Catalogue¶

Start working with the WaPOR data base¶

In [2]:
WaPOR.API.version=2 #select WaPOR version
WaPOR.API.getCatalog()
Loading WaPOR catalog...
Loading WaPOR catalog...Done
Out[2]:
code caption description additionalInfo tags workspaceCode dataType index operation hidden links measure dimension
0 L1_GBWP_A Gross Biomass Water Productivity The annual Gross Biomass Water Productivity ex... {'format': 'Raster Dataset', 'unit': 'kg/m³ is... [{'name': 'L1', 'index': 1, 'context': 'LEVELS... WAPOR_2 RASTER 101 {'pixelTimeSeries': True, 'areaStatsTimeSeries... False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'WPR', 'caption': 'Water Productivity... [{'code': 'YEAR', 'caption': 'Year', 'descript...
1 L1_NBWP_A Net Biomass Water Productivity The annual Net Biomass Water Productivity expr... {'format': 'Raster Dataset', 'unit': 'kg/m³ is... [{'name': 'L1', 'index': 2, 'context': 'LEVELS... WAPOR_2 RASTER 102 {'pixelTimeSeries': True, 'areaStatsTimeSeries... False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'WPR', 'caption': 'Water Productivity... [{'code': 'YEAR', 'caption': 'Year', 'descript...
2 L1_AETI_A Actual EvapoTranspiration and Interception (An... The actual EvapoTranspiration and Interception... {'format': 'Raster Dataset', 'unit': 'mm', 'da... [{'name': 'L1', 'index': 3, 'context': 'LEVELS... WAPOR_2 RASTER 103 {'pixelTimeSeries': True, 'areaStatsTimeSeries... False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'WATER_MM', 'caption': 'Amount of Wat... [{'code': 'YEAR', 'caption': 'Year', 'descript...
3 L1_AETI_M Actual EvapoTranspiration and Interception (Mo... The actual EvapoTranspiration and Interception... {'format': 'Raster Dataset', 'unit': 'mm', 'da... [{'name': 'L1', 'index': 4, 'context': 'LEVELS... WAPOR_2 RASTER 104 {'pixelTimeSeries': True, 'areaStatsTimeSeries... False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'WATER_MM', 'caption': 'Amount of Wat... [{'code': 'MONTH', 'caption': 'Month', 'worksp...
4 L1_AETI_D Actual EvapoTranspiration and Interception (De... The actual EvapoTranspiration and Interception... {'format': 'Raster Dataset', 'unit': 'mm', 'da... [{'name': 'L1', 'index': 5, 'context': 'LEVELS... WAPOR_2 RASTER 105 {'pixelTimeSeries': True, 'areaStatsTimeSeries... False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'WATER_MM', 'caption': 'Amount of Wat... [{'code': 'DEKAD', 'caption': 'Dekad (10-Days ...
... ... ... ... ... ... ... ... ... ... ... ... ... ...
245 L3_GEZ_QUAL_NDVI_LT Quality of Normalized Difference Vegetation In... The long-term NDVI quality layer is produced a... {'format': 'Raster Dataset', 'unit': '%', 'dat... [{'name': 'L3', 'index': 220, 'context': 'LEVE... WAPOR_2 RASTER 30220 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'ACC', 'caption': 'Accuracy', 'descri... [{'code': 'LTP', 'caption': 'Long Term', 'desc...
246 L3_KOG_QUAL_NDVI_LT Quality of Normalized Difference Vegetation In... The long-term NDVI quality layer is produced a... {'format': 'Raster Dataset', 'unit': '%', 'dat... [{'name': 'L3', 'index': 221, 'context': 'LEVE... WAPOR_2 RASTER 30221 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'ACC', 'caption': 'Accuracy', 'descri... [{'code': 'LTP', 'caption': 'Long Term', 'desc...
247 L3_LAM_QUAL_NDVI_LT Quality of Normalized Difference Vegetation In... The long-term NDVI quality layer is produced a... {'format': 'Raster Dataset', 'unit': '%', 'dat... [{'name': 'L3', 'index': 222, 'context': 'LEVE... WAPOR_2 RASTER 30222 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'ACC', 'caption': 'Accuracy', 'descri... [{'code': 'LTP', 'caption': 'Long Term', 'desc...
248 L3_ODN_QUAL_NDVI_LT Quality of Normalized Difference Vegetation In... The long-term NDVI quality layer is produced a... {'format': 'Raster Dataset', 'unit': '%', 'dat... [{'name': 'L3', 'index': 225, 'context': 'LEVE... WAPOR_2 RASTER 30225 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'ACC', 'caption': 'Accuracy', 'descri... [{'code': 'LTP', 'caption': 'Long Term', 'desc...
249 L3_ZAN_QUAL_NDVI_LT Quality of Normalized Difference Vegetation In... The long-term NDVI quality layer is produced a... {'format': 'Raster Dataset', 'unit': '%', 'dat... [{'name': 'L3', 'index': 228, 'context': 'LEVE... WAPOR_2 RASTER 30228 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.... {'code': 'ACC', 'caption': 'Accuracy', 'descri... [{'code': 'LTP', 'caption': 'Long Term', 'desc...

250 rows × 13 columns

In [3]:
# get full catalog listing using pandas

WaPOR.API.version=2
catalog=WaPOR.API.getCatalog()

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)

display (catalog)
Loading WaPOR catalog...
Loading WaPOR catalog...Done
code caption description additionalInfo tags workspaceCode dataType index operation hidden links measure dimension
0 L1_GBWP_A Gross Biomass Water Productivity The annual Gross Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the total volume of water consumed in the year (actual evapotranspiration). By relating biomass production to total evapotranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \"net water productivity\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). {'format': 'Raster Dataset', 'unit': 'kg/m³ is the ratio of kg of dry matter per cubic meter of water transpired by vegetation in one hectare', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of gross biomass water productivity (GBWP) is as follows: GBWP = TBP/ETIa Where TBP is annual Total Biomass Production in kg/ha and ETIa is annual Actual EvapoTranspiration and Interception in m³/ha. The following data is used for calculating it: - Annual TBP - Annual ETIa'} [{'name': 'L1', 'index': 1, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 1, 'context': 'levels'}, {'name': 'C1', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 101 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A/dimensions/YEAR'}]}]
1 L1_NBWP_A Net Biomass Water Productivity The annual Net Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the volume of water beneficially consumed (by canopy transpiration) in the year, and thus net of soil evaporation. Contrary to gross water productivity, net water productivity is particularly useful in monitoring how effectively vegetation (and, more importantly, crops) uses water to develop biomass (and thus yield). {'format': 'Raster Dataset', 'unit': 'kg/m³ is the ratio of kg of dry matter per cubic meter of water transpired by vegetation in one hectare', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of Net Biomass Water Productivity (NBWP) is as follows: NBWP = TBP/Ta Where TBP is annual total biomass production in kgDM/ha and Ta is annual actual transpiration in m³/ha. Only areas with annual T of 100 mm or higher have been included in the computation. The following data is used for calculating it: - Annual TBP - Annual Ta'} [{'name': 'L1', 'index': 2, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 2, 'context': 'levels'}, {'name': 'C1', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 102 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A/dimensions/YEAR'}]}]
2 L1_AETI_A Actual EvapoTranspiration and Interception (Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L1', 'index': 3, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 3, 'context': 'levels'}, {'name': 'C2', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 103 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A/dimensions/YEAR'}]}]
3 L1_AETI_M Actual EvapoTranspiration and Interception (Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthy total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L1', 'index': 4, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 4, 'context': 'levels'}, {'name': 'C2', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 104 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M/dimensions/MONTH'}]}]
4 L1_AETI_D Actual EvapoTranspiration and Interception (Dekadal) The actual EvapoTranspiration and Interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L1', 'index': 5, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 5, 'context': 'levels'}, {'name': 'C2', 'index': 3, 'context': 'categories'}] WAPOR_2 RASTER 105 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D/dimensions/DEKAD'}]}]
5 L1_T_A Transpiration (Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L1', 'index': 6, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 6, 'context': 'levels'}, {'name': 'C2', 'index': 4, 'context': 'categories'}] WAPOR_2 RASTER 106 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A/dimensions/YEAR'}]}]
6 L1_E_A Evaporation (Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L1', 'index': 7, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 7, 'context': 'levels'}, {'name': 'C2', 'index': 5, 'context': 'categories'}] WAPOR_2 RASTER 107 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A/dimensions/YEAR'}]}]
7 L1_I_A Interception (Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L1', 'index': 8, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 8, 'context': 'levels'}, {'name': 'C2', 'index': 6, 'context': 'categories'}] WAPOR_2 RASTER 108 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A/dimensions/YEAR'}]}]
8 L1_T_D Transpiration (Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 9, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 9, 'context': 'levels'}, {'name': 'C2', 'index': 7, 'context': 'categories'}] WAPOR_2 RASTER 109 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D/dimensions/DEKAD'}]}]
9 L1_E_D Evaporation (Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 10, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 10, 'context': 'levels'}, {'name': 'C2', 'index': 8, 'context': 'categories'}] WAPOR_2 RASTER 110 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D/dimensions/DEKAD'}]}]
10 L1_I_D Interception (Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 11, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 11, 'context': 'levels'}, {'name': 'C2', 'index': 9, 'context': 'categories'}] WAPOR_2 RASTER 111 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D/dimensions/DEKAD'}]}]
11 L1_NPP_D Net Primary Production Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 12, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 12, 'context': 'levels'}, {'name': 'C3', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 112 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D/dimensions/DEKAD'}]}]
12 L1_TBP_A Total Biomass Production (Annual) The annual Total Biomass Production expresses the total amount of dry matter produced over the year. It is calculated by dekad and summarized as annual total. Each pixel represents the annual amount of dry matter in kg per hectare. {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int32 (32bit Integer)', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Annual TBP is the sum of the TBP by dekad in the year of reference (TBP by dekad is the average daily value in a dekad multiplied by number of days in each dekad). TBP is calculated by applying a unit conversion factor to net primary production (NPP) that converts carbon grams per m² into dry matter (DM) per hectare. In the previous version of the database, a fixed shoot/root ratio of 0.65 was applied to distribute DM into below ground and above ground production. For Version 2, also based on the findings of the Quality assessment, we decided to release the total biomass (above and below ground) instead, and leave users the possibility to apply a shoot/root ratio that better suits their analysis.'} [{'name': 'L1', 'index': 13, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 13, 'context': 'levels'}, {'name': 'C3', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 113 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A'}] {'code': 'LPR', 'caption': 'Land Productivity', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A/measures/LPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A/dimensions/YEAR'}]}]
13 L1_LCC_A Land Cover Classification This land cover dataset at continental scale is based on the Copernicus Global Land cover map. WaPOR data adds, on top of the Copernicus map, the distinction between irrigated and rainfed areas. It is published on a yearly basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'Land Cover Classification makes use of the dekadal reflectance time series and seasonal phenology information from the Crop Calendar. The Level 1 land cover products were derived from the Global Land Service of Copernicus, the Earth Observation programme of the European Commission. In addition, irrigated areas are identified by applying a water deficit index that takes into consideration seasonal cumulated values of precipitation and actual evapotranspiration. The global CGLS-100m land cover map for 2015 served as base layer for both Level 1 and 2, whereas the cropland class was further divided into irrigated, rainfed and fallow, on an annual basis. The classification applied is based on the Land Cover Classification System (LCCS) that was developed by FAO. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 14, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 14, 'context': 'levels'}, {'name': 'C3', 'index': 3, 'context': 'categories'}] WAPOR_2 RASTER 114 {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A'}] {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A/measures/LCC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A/dimensions/YEAR'}]}]
14 L1_RET_A Reference EvapoTranspiration (Annual) Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the total of the daily reference evapotranspiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The annual data is obtained by taking the daily RET, summing the days of each year.'} [{'name': 'L1', 'index': 15, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 15, 'context': 'levels'}, {'name': 'C4', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 115 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A/dimensions/YEAR'}]}]
15 L1_PCP_A Precipitation (Annual) Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the total of daily precipitation in the year expressed in mm (1mm=1l/m² or 1mm=10m³/ha). {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Precipitation (L1_PCP_E) for further information. The annual data is obtained by taking the daily PCP, summing the days of each year.'} [{'name': 'L1', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 16, 'context': 'levels'}, {'name': 'C4', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 116 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A/dimensions/YEAR'}]}]
16 L1_RET_M Reference EvapoTranspiration (Monthly) Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the total of the daily reference evapotranspiration for that specific month. {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The monthly data is obtained by taking the daily RET, summing the days of each month.'} [{'name': 'L1', 'index': 17, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 17, 'context': 'levels'}, {'name': 'C4', 'index': 3, 'context': 'categories'}] WAPOR_2 RASTER 117 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M/dimensions/MONTH'}]}]
17 L1_PCP_M Precipitation (Monthly) Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the total of daily precipitation in the month expressed in mm (1mm=1l/m² or 1mm=10m³/ha). {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Precipitation (L1_PCP_E) for further information. The monthly data is obtained by taking the daily PCP, summing the days of each month.'} [{'name': 'L1', 'index': 18, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 18, 'context': 'levels'}, {'name': 'C4', 'index': 4, 'context': 'categories'}] WAPOR_2 RASTER 118 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M/dimensions/MONTH'}]}]
18 L1_RET_D Reference EvapoTranspiration (Dekadal) Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the average of the daily reference evapotranspiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The dekadal average is obtained by taking the daily RET, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'} [{'name': 'L1', 'index': 19, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 19, 'context': 'levels'}, {'name': 'C4', 'index': 5, 'context': 'categories'}] WAPOR_2 RASTER 119 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D/dimensions/DEKAD'}]}]
19 L1_PCP_D Precipitation (Dekadal) Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha). {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'See daily precipitation (L1_PCP_E) for further information. The dekadal average is obtained by taking the daily PCP, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'} [{'name': 'L1', 'index': 20, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 20, 'context': 'levels'}, {'name': 'C4', 'index': 6, 'context': 'categories'}] WAPOR_2 RASTER 120 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/dimensions/DEKAD'}]}]
20 L1_RET_E Reference EvapoTranspiration (Daily) Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. Each pixel represents the daily reference evapotranspiration in mm. {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Daily', 'methodology': 'As for Actual EvapoTranspiration, it is derived using the Penman-Monteith equation, with the distinction that most of the variables are predefined. The following data is used to calculate RET: daily incoming solar radiation and weather data (temperature, humidity, wind speed). Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 21, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 21, 'context': 'levels'}, {'name': 'C4', 'index': 7, 'context': 'categories'}] WAPOR_2 RASTER 121 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E/measures/WATER_MM'}]} [{'code': 'DAY', 'caption': 'Day', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'DAY', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E/dimensions/DAY'}]}]
21 L1_PCP_E Precipitation (Daily) Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the daily amount of precipitation expressed in mm (1mm=1l/m² or 1mm=10m³/ha). For details see http://chg.geog.ucsb.edu/data/chirps {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Daily', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Information on the methodology applied to produce CHIRPS data can be found at http://chg.geog.ucsb.edu/data/chirps.\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 22, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 22, 'context': 'levels'}, {'name': 'C4', 'index': 8, 'context': 'categories'}] WAPOR_2 RASTER 122 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E/measures/WATER_MM'}]} [{'code': 'DAY', 'caption': 'Day', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'DAY', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E/dimensions/DAY'}]}]
22 L1_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L1', 'index': 23, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}] WAPOR_2 RASTER 123 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D/dimensions/DEKAD'}]}]
23 L1_QUAL_LST_D Quality Land Surface Temperature (Dekadal) The quality layer gives an indication on the quality of the Land Surface Temperature (LST) input data. It shows the time between the date of the data file and the earlier remote sensing observation on which the data is based. {'format': 'Raster Dataset', 'unit': 'day', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The LST input uses each clear observation. For each clear LST observation a separate "observation quality" is calculated which is dependent on the viewing angle. Smaller viewing angles provide a better LST observation. For each day the following procedure is followed to calculate the LST: If there is no clear LST observation, then the previous value of LST is used. The observation quality is reduced 10% each day. If there is a clear LST observation then the new LST value will be a weighted mean of the previous observation and current observation, based on their observation quality. The Quality Indicator provides the number of days since the last clear observation, regardless of its observation quality. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L1', 'index': 24, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 24, 'context': 'levels'}, {'name': 'C5', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 124 {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D/dimensions/DEKAD'}]}]
24 L1_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term (2009 to date)', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L1', 'index': 24, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}] WAPOR_2 RASTER 124 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT/dimensions/LTP'}]}]
25 L2_GBWP_S Gross Biomass Water Productivity (Seasonal) The seasonal Gross Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the total volume of water consumed (actual EvapoTranspiration) during the growing cycle of the vegetation. By relating biomass production to total EvapoTranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \"net water productivity\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). {'format': 'Raster Dataset', 'unit': 'kg/m³', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of gross biomass water productivity (GBWP) is as follows: GBWP = TBP/ETIa Where TBP is seasonal Total Biomass Production in kg/ha and ETIa is the Actual EvapoTranspiration and Interception in m³/ha cumulated during the course of the growing season, as defined by the phenology information. The following data is used for calculating it: - Seasonal TBP - Dekadal ETIa - Phenology (start of season and end of season) Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 1, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 1, 'context': 'levels'}, {'name': 'C1', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 201 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/dimensions/SEASON'}]}]
26 L2_AETI_A Actual EvapoTranspiration and Interception (Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 3, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 3, 'context': 'levels'}, {'name': 'C2', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 203 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A/dimensions/YEAR'}]}]
27 L2_AETI_M Actual EvapoTranspiration and Interception (Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 4, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 4, 'context': 'levels'}, {'name': 'C2', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 204 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M/dimensions/MONTH'}]}]
28 L2_AETI_D Actual EvapoTranspiration and Interception (Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 5, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 5, 'context': 'levels'}, {'name': 'C2', 'index': 3, 'context': 'categories'}] WAPOR_2 RASTER 205 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D/dimensions/DEKAD'}]}]
29 L2_T_A Transpiration (Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 6, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 6, 'context': 'levels'}, {'name': 'C2', 'index': 4, 'context': 'categories'}] WAPOR_2 RASTER 206 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A/dimensions/YEAR'}]}]
30 L2_E_A Evaporation (Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 7, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 7, 'context': 'levels'}, {'name': 'C2', 'index': 5, 'context': 'categories'}] WAPOR_2 RASTER 207 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A/dimensions/YEAR'}]}]
31 L2_I_A Interception (Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 8, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 8, 'context': 'levels'}, {'name': 'C2', 'index': 6, 'context': 'categories'}] WAPOR_2 RASTER 208 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A/dimensions/YEAR'}]}]
32 L2_T_D Transpiration (Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 9, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 9, 'context': 'levels'}, {'name': 'C2', 'index': 7, 'context': 'categories'}] WAPOR_2 RASTER 209 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D/dimensions/DEKAD'}]}]
33 L2_E_D Evaporation (Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 10, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 10, 'context': 'levels'}, {'name': 'C2', 'index': 8, 'context': 'categories'}] WAPOR_2 RASTER 210 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D/dimensions/DEKAD'}]}]
34 L2_I_D Interception (Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 11, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 11, 'context': 'levels'}, {'name': 'C2', 'index': 9, 'context': 'categories'}] WAPOR_2 RASTER 211 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D/dimensions/DEKAD'}]}]
35 L2_NPP_D Net Primary Production Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 12, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 12, 'context': 'levels'}, {'name': 'C3', 'index': 1, 'context': 'categories'}] WAPOR_2 RASTER 212 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D/dimensions/DEKAD'}]}]
36 L2_TBP_S Total Biomass Production (Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes \"out of season\". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 10', 'noDataValue': -9999, 'flags': [{'value': -9996, 'description': 'out of season'}], 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 13, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 13, 'context': 'levels'}, {'name': 'C3', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 213 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/dimensions/SEASON'}]}]
37 L2_LCC_A Land Cover Classification This experimental land cover dataset at continental scale (Level 2) shows a broad classification aiming at identifying cultivated land and, more specifically, distinguishing between irrigated and rainfed areas. It is published on a yearly basis, while seasonal products are available upon request. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'Land Cover Classification makes use of the dekadal reflectance time series and seasonal phenology information from the Crop Calendar. The Level 1 land cover products were derived from the Global Land Service of Copernicus, the Earth Observation programme of the European Commission. This product was generated from MODIS data, using the Copernicus training data and operational workflow, modified to account for differences in spatial resolution and the delivered land cover classes. In addition, irrigated areas are identified by applying a water deficit index that takes into consideration seasonal cumulated values of precipitation and actual evapotranspiration. The global CGLS-100m land cover map for 2015 served as base layer for both Level 1 and 2, whereas the cropland class was further divided into irrigated, rainfed and fallow, on an annual basis. The classification applied is based on the Land Cover Classification System (LCCS) that was developed by FAO. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 14, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 14, 'context': 'levels'}, {'name': 'C3', 'index': 3, 'context': 'categories'}] WAPOR_2 RASTER 214 {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A'}] {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A/measures/LCC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A/dimensions/YEAR'}]}]
38 L2_PHE_S Phenology (Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'flags': [{'value': 251, 'description': 'no season detected'}], 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland). The following data is used to calculate Phenology: NDVI Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 15, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 15, 'context': 'levels'}, {'name': 'C3', 'index': 4, 'context': 'categories'}] WAPOR_2 RASTER 215 {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/STAGE'}]}]
39 L2_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term (2009 to date)', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} [{'name': 'L2', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}] WAPOR_2 RASTER 216 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT/dimensions/LTP'}]}]
40 L2_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L2', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}] WAPOR_2 RASTER 216 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D/dimensions/DEKAD'}]}]
41 L2_QUAL_LST_D Quality Land Surface Temperature (Dekadal) The quality layer gives an indication on the quality of the Land Surface Temperature (LST) input data. It shows the time between the date of the data file and the earlier remote sensing observation on which the data is based. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The LST input uses each clear observation. For each clear LST observation a separate "observation quality" is calculated which is dependent on the viewing angle. Smaller viewing angles provide a better LST observation. For each day the following procedure is followed to calculate the LST: If there is no clear LST observation, then the previous value of LST is used. The observation quality is reduced 10% each day. If there is a clear LST observation then the new LST value will be a weighted mean of the previous observation and current observation, based on their observation quality. The Quality Indicator provides the number of days since the last clear observation, regardless of its observation quality. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L2', 'index': 17, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 17, 'context': 'levels'}, {'name': 'C5', 'index': 2, 'context': 'categories'}] WAPOR_2 RASTER 217 {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D/dimensions/DEKAD'}]}]
42 L2_BAS_GBWP_S Gross Biomass Water Productivity (Seasonal, clipped by basin) This is a system dataset, used to let the download of the Gross Biomass Water Productivity raster files (L2_GBWP_S) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4011 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/BASIN'}]}]
43 L2_CTY_GBWP_S Gross Biomass Water Productivity (Seasonal, clipped by country) This is a system dataset, used to let the download of the Gross Biomass Water Productivity raster files (L2_GBWP_S) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4012 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/COUNTRY'}]}]
44 L2_CTY_NBWP_S Net Biomass Water Productivity (Seasonal, clipped by country) This is a system dataset, used to let the download of the Net Biomass Water Productivity raster files (L2_NBWP_S) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4012 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/COUNTRY'}]}]
45 L2_BAS_NBWP_S Net Biomass Water Productivity (Seasonal, clipped by basin) This is a system dataset, used to let the download of the Net Biomass Water Productivity raster files (L2_NBWP_S) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4021 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S'}] {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/measures/WPR'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/BASIN'}]}]
46 L2_BAS_AETI_A Actual EvapoTranspiration and Interception (Annual, clipped by basin) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_A) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4031 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/dimensions/BASIN'}]}]
47 L2_CTY_AETI_A Actual EvapoTranspiration and Interception (Annual, clipped by country) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_A) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4032 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/dimensions/COUNTRY'}]}]
48 L2_BAS_AETI_M Actual EvapoTranspiration and Interception (Monthly, clipped by basin) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_M) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4041 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/dimensions/MONTH'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/dimensions/BASIN'}]}]
49 L2_CTY_AETI_M Actual EvapoTranspiration and Interception (Monthly, clipped by country) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_M) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4042 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/dimensions/MONTH'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/dimensions/COUNTRY'}]}]
50 L2_BAS_AETI_D Actual EvapoTranspiration and Interception (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4051 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/dimensions/BASIN'}]}]
51 L2_CTY_AETI_D Actual EvapoTranspiration and Interception (Dekadal, clipped by country) This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4052 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/dimensions/COUNTRY'}]}]
52 L2_BAS_T_A Transpiration (Annual, clipped by basin) This is a system dataset, used to let the download of the Transpiration raster files (L2_T_A) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4061 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/dimensions/BASIN'}]}]
53 L2_CTY_T_A Transpiration (Annual, clipped by country) This is a system dataset, used to let the download of the Transpiration raster files (L2_T_A) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4062 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/dimensions/COUNTRY'}]}]
54 L2_BAS_E_A Evaporation (Annual, clipped by basin) This is a system dataset, used to let the download of the Evaporation raster files (L2_E_A) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4071 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/dimensions/BASIN'}]}]
55 L2_CTY_E_A Evaporation (Annual, clipped by country) This is a system dataset, used to let the download of the Evaporation raster files (L2_E_A) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4072 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/dimensions/COUNTRY'}]}]
56 L2_BAS_I_A Interception (Annual, clipped by basin) This is a system dataset, used to let the download of the Interception raster files (L2_I_A) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4081 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/dimensions/BASIN'}]}]
57 L2_CTY_I_A Interception (Annual, clipped by country) This is a system dataset, used to let the download of the Interception raster files (L2_I_A) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4082 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/dimensions/COUNTRY'}]}]
58 L2_BAS_T_D Transpiration (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Transpiration raster files (L2_T_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4091 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/dimensions/BASIN'}]}]
59 L2_CTY_T_D Transpiration (Dekadal, clipped by country) This is a system dataset, used to let the download of the Transpiration raster files (L2_T_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4092 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/dimensions/COUNTRY'}]}]
60 L2_BAS_E_D Evaporation (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Evaporation raster files (L2_E_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4101 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/dimensions/BASIN'}]}]
61 L2_CTY_E_D Evaporation (Dekadal, clipped by country) This is a system dataset, used to let the download of the Evaporation raster files (L2_E_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4102 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/dimensions/COUNTRY'}]}]
62 L2_BAS_NPP_D Net Primary Production (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Net Primary Production raster files (L2_NPP_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4111 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/dimensions/BASIN'}]}]
63 L2_BAS_I_D Interception (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Interception raster files (L2_I_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4111 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/dimensions/BASIN'}]}]
64 L2_CTY_I_D Interception (Dekadal, clipped by country) This is a system dataset, used to let the download of the Interception raster files (L2_I_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4112 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/dimensions/COUNTRY'}]}]
65 L2_CTY_NPP_D Net Primary Production (Dekadal, clipped by country) This is a system dataset, used to let the download of the Net Primary Production raster files (L2_NPP_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4112 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/dimensions/COUNTRY'}]}]
66 L2_BAS_TBP_S Total Biomass Production (Seasonal, clipped by basin) This is a system dataset, used to let the download of the Total Biomass Production raster files (L2_TBP_S) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4131 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/BASIN'}]}]
67 L2_CTY_PHE_S Phenology (Seasonal, clipped by country) This is a system dataset, used to let the download of the Phenology raster files (L2_PHE_S) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4132 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 5, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/STAGE'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/COUNTRY'}]}]
68 L2_CTY_TBP_S Total Biomass Production (Seasonal, clipped by country) This is a system dataset, used to let the download of the Total Biomass Production raster files (L2_TBP_S) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4132 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/COUNTRY'}]}]
69 L2_BAS_LCC_A Land Cover Classification (Annual, clipped by basin) This is a system dataset, used to let the download of the Land Cover Classification raster files (L2_LCC_A) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4141 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A'}] {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/measures/LCC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/dimensions/BASIN'}]}]
70 L2_CTY_LCC_A Land Cover Classification (Annual, clipped by country) This is a system dataset, used to let the download of the Land Cover Classification raster files (L2_LCC_A) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4142 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A'}] {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/measures/LCC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/dimensions/COUNTRY'}]}]
71 L2_BAS_PHE_S Phenology (Seasonal, clipped by basin) This is a system dataset, used to let the download of the Phenology raster files (L2_PHE_S) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4151 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 5, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/STAGE'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/BASIN'}]}]
72 L2_BAS_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Quality of Normalized Difference Vegetation Index raster files (L2_QUAL_NDVI_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4161 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/dimensions/BASIN'}]}]
73 L2_CTY_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Dekadal, clipped by country) This is a system dataset, used to let the download of the Quality of Normalized Difference Vegetation Index raster files (L2_QUAL_NDVI_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4162 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/dimensions/COUNTRY'}]}]
74 L2_BAS_QUAL_LST_D Quality Land Surface Temperature (Dekadal, clipped by basin) This is a system dataset, used to let the download of the Quality Land Surface Temperature raster files (L2_QUAL_LST_D) by selecting the basin of interest NaN NaN WAPOR_2 RASTER 4171 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/dimensions/BASIN'}]}]
75 L2_CTY_QUAL_LST_D Quality Land Surface Temperature (Dekadal, clipped by country) This is a system dataset, used to let the download of the Quality Land Surface Temperature raster files (L2_QUAL_LST_D) by selecting the country of interest NaN NaN WAPOR_2 RASTER 4172 {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} True [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D'}] {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/measures/N_DAYS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/dimensions/COUNTRY'}]}]
76 L3_AWA_AETI_A Actual EvapoTranspiration and Interception (Awash, Ethiopia - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 25, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30025 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A/dimensions/YEAR'}]}]
77 L3_BKA_AETI_A Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 26, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30026 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A/dimensions/YEAR'}]}]
78 L3_BUS_AETI_A Actual EvapoTranspiration and Interception (Busia, Kenya - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 27, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30027 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A/dimensions/YEAR'}]}]
79 L3_GEZ_AETI_A Actual EvapoTranspiration and Interception (Gezira, Sudan - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 28, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30028 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A/dimensions/YEAR'}]}]
80 L3_KOG_AETI_A Actual EvapoTranspiration and Interception (Koga, Ethiopia - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 29, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30029 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A/dimensions/YEAR'}]}]
81 L3_LAM_AETI_A Actual EvapoTranspiration and Interception (Lamego, Mozambique - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 30, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30030 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A/dimensions/YEAR'}]}]
82 L3_MAL_AETI_A Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 31, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30031 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A/dimensions/YEAR'}]}]
83 L3_MUV_AETI_A Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 32, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30032 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A/dimensions/YEAR'}]}]
84 L3_ODN_AETI_A Actual EvapoTranspiration and Interception (Office du Niger, Mali - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 33, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30033 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A/dimensions/YEAR'}]}]
85 L3_SED_AETI_A Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 34, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 10, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30034 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A/dimensions/YEAR'}]}]
86 L3_YAN_AETI_A Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 35, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 11, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30035 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A/dimensions/YEAR'}]}]
87 L3_ZAN_AETI_A Actual EvapoTranspiration and Interception (Zankalon, Egypt - Annual) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 36, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30036 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A/dimensions/YEAR'}]}]
88 L3_AWA_AETI_M Actual EvapoTranspiration and Interception (Awash, Ethiopia - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 37, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30037 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M/dimensions/MONTH'}]}]
89 L3_BKA_AETI_M Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 38, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30038 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M/dimensions/MONTH'}]}]
90 L3_BUS_AETI_M Actual EvapoTranspiration and Interception (Busia, Kenya - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 39, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30039 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M/dimensions/MONTH'}]}]
91 L3_GEZ_AETI_M Actual EvapoTranspiration and Interception (Gezira, Sudan - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 40, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30040 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M/dimensions/MONTH'}]}]
92 L3_KOG_AETI_M Actual EvapoTranspiration and Interception (Koga, Ethiopia - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 41, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30041 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M/dimensions/MONTH'}]}]
93 L3_LAM_AETI_M Actual EvapoTranspiration and Interception (Lamego, Mozambique - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 42, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30042 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M/dimensions/MONTH'}]}]
94 L3_MAL_AETI_M Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 43, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30043 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M/dimensions/MONTH'}]}]
95 L3_MUV_AETI_M Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 44, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30044 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M/dimensions/MONTH'}]}]
96 L3_ODN_AETI_M Actual EvapoTranspiration and Interception (Office du Niger, Mali - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 45, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30045 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M/dimensions/MONTH'}]}]
97 L3_SED_AETI_M Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 46, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30046 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M/dimensions/MONTH'}]}]
98 L3_YAN_AETI_M Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 47, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30047 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M/dimensions/MONTH'}]}]
99 L3_ZAN_AETI_M Actual EvapoTranspiration and Interception (Zankalon, Egypt - Monthly) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} [{'name': 'L3', 'index': 48, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30048 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M/measures/WATER_MM'}]} [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M/dimensions/MONTH'}]}]
100 L3_AWA_AETI_D Actual EvapoTranspiration and Interception (Awash, Ethiopia - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 49, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 25, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30049 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D/dimensions/DEKAD'}]}]
101 L3_BKA_AETI_D Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 50, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 26, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30050 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D/dimensions/DEKAD'}]}]
102 L3_BUS_AETI_D Actual EvapoTranspiration and Interception (Busia, Kenya - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 51, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 27, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30051 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D/dimensions/DEKAD'}]}]
103 L3_GEZ_AETI_D Actual EvapoTranspiration and Interception (Gezira, Sudan - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 52, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 28, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30052 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D/dimensions/DEKAD'}]}]
104 L3_KOG_AETI_D Actual EvapoTranspiration and Interception (Koga, Ethiopia - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 53, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 29, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30053 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D/dimensions/DEKAD'}]}]
105 L3_LAM_AETI_D Actual EvapoTranspiration and Interception (Lamego, Mozambique - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 54, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 30, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30054 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D/dimensions/DEKAD'}]}]
106 L3_MAL_AETI_D Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 55, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 31, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30055 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D/dimensions/DEKAD'}]}]
107 L3_MUV_AETI_D Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 56, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 32, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30056 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D/dimensions/DEKAD'}]}]
108 L3_ODN_AETI_D Actual EvapoTranspiration and Interception (Office du Niger, Mali - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 57, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 33, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30057 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D/dimensions/DEKAD'}]}]
109 L3_SED_AETI_D Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 58, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 34, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30058 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D/dimensions/DEKAD'}]}]
110 L3_YAN_AETI_D Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 59, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 35, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30059 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D/dimensions/DEKAD'}]}]
111 L3_ZAN_AETI_D Actual EvapoTranspiration and Interception (Zankalon, Egypt - Dekadal) The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} [{'name': 'L3', 'index': 60, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 36, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30060 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D/dimensions/DEKAD'}]}]
112 L3_AWA_T_A Transpiration (Awash, Ethiopia - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 61, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30061 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A/dimensions/YEAR'}]}]
113 L3_BKA_T_A Transpiration (Bekaa, Lebanon - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 62, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30062 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A/dimensions/YEAR'}]}]
114 L3_BUS_T_A Transpiration (Busia, Kenya - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 63, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30063 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A/dimensions/YEAR'}]}]
115 L3_GEZ_T_A Transpiration (Gezira, Sudan - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 64, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30064 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A/dimensions/YEAR'}]}]
116 L3_KOG_T_A Transpiration (Koga, Ethiopia - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 65, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30065 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A/dimensions/YEAR'}]}]
117 L3_LAM_T_A Transpiration (Lamego, Mozambique - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 66, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30066 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A/dimensions/YEAR'}]}]
118 L3_MAL_T_A Transpiration (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 67, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 43, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30067 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A/dimensions/YEAR'}]}]
119 L3_MUV_T_A Transpiration (Muvumba catchment, Rwanda - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 68, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 44, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30068 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A/dimensions/YEAR'}]}]
120 L3_ODN_T_A Transpiration (Office du Niger, Mali - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 69, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30069 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A/dimensions/YEAR'}]}]
121 L3_SED_T_A Transpiration (Senegal Delta, Senegal - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 70, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 46, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30070 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A/dimensions/YEAR'}]}]
122 L3_YAN_T_A Transpiration (Yanze catchment, Rwanda - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 71, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 47, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30071 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A/dimensions/YEAR'}]}]
123 L3_ZAN_T_A Transpiration (Zankalon, Egypt - Annual) The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 72, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30072 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A/dimensions/YEAR'}]}]
124 L3_AWA_E_A Evaporation (Awash, Ethiopia - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 73, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 49, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30073 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A/dimensions/YEAR'}]}]
125 L3_BKA_E_A Evaporation (Bekaa, Lebanon - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 74, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 50, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30074 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A/dimensions/YEAR'}]}]
126 L3_BUS_E_A Evaporation (Busia, Kenya - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 75, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 51, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30075 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A/dimensions/YEAR'}]}]
127 L3_GEZ_E_A Evaporation (Gezira, Sudan - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 76, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 52, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30076 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A/dimensions/YEAR'}]}]
128 L3_KOG_E_A Evaporation (Koga, Ethiopia - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 77, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 53, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30077 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A/dimensions/YEAR'}]}]
129 L3_LAM_E_A Evaporation (Lamego, Mozambique - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 78, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 54, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30078 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A/dimensions/YEAR'}]}]
130 L3_MAL_E_A Evaporation (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 79, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 55, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30079 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A/dimensions/YEAR'}]}]
131 L3_MUV_E_A Evaporation (Muvumba catchment, Rwanda - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 80, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 56, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30080 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A/dimensions/YEAR'}]}]
132 L3_ODN_E_A Evaporation (Office du Niger, Mali - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 81, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 57, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30081 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A/dimensions/YEAR'}]}]
133 L3_SED_E_A Evaporation (Senegal Delta, Senegal - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 82, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 58, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30082 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A/dimensions/YEAR'}]}]
134 L3_YAN_E_A Evaporation (Yanze catchment, Rwanda - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 83, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 59, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30083 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A/dimensions/YEAR'}]}]
135 L3_ZAN_E_A Evaporation (Zankalon, Egypt - Annual) The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 84, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 60, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30084 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A/dimensions/YEAR'}]}]
136 L3_AWA_I_A Interception (Awash, Ethiopia - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 85, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 61, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30085 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A/dimensions/YEAR'}]}]
137 L3_BKA_I_A Interception (Bekaa, Lebanon - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 86, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 62, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30086 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A/dimensions/YEAR'}]}]
138 L3_BUS_I_A Interception (Busia, Kenya - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 87, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 63, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30087 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A/dimensions/YEAR'}]}]
139 L3_GEZ_I_A Interception (Gezira, Sudan - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 88, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 64, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30088 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A/dimensions/YEAR'}]}]
140 L3_KOG_I_A Interception (Koga, Ethiopia - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 89, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 65, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30089 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A/dimensions/YEAR'}]}]
141 L3_LAM_I_A Interception (Lamego, Mozambique - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 90, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 66, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30090 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A/dimensions/YEAR'}]}]
142 L3_MAL_I_A Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 91, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 67, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30091 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A/dimensions/YEAR'}]}]
143 L3_MUV_I_A Interception (Muvumba catchment, Rwanda - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 92, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 68, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30092 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A/dimensions/YEAR'}]}]
144 L3_ODN_I_A Interception (Office du Niger, Mali - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 93, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 69, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30093 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A/dimensions/YEAR'}]}]
145 L3_SED_I_A Interception (Senegal Delta, Senegal - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 94, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 70, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30094 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A/dimensions/YEAR'}]}]
146 L3_YAN_I_A Interception (Yanze catchment, Rwanda - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 95, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 71, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30095 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A/dimensions/YEAR'}]}]
147 L3_ZAN_I_A Interception (Zankalon, Egypt - Annual) Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} [{'name': 'L3', 'index': 96, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 72, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30096 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A/measures/WATER_MM'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A/dimensions/YEAR'}]}]
148 L3_AWA_T_D Transpiration (Awash, Ethiopia - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 97, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 73, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30097 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D/dimensions/DEKAD'}]}]
149 L3_BKA_T_D Transpiration (Bekaa, Lebanon - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 98, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 74, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30098 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D/dimensions/DEKAD'}]}]
150 L3_BUS_T_D Transpiration (Busia, Kenya - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 99, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 75, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30099 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D/dimensions/DEKAD'}]}]
151 L3_GEZ_T_D Transpiration (Gezira, Sudan - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 100, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 76, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30100 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D/dimensions/DEKAD'}]}]
152 L3_KOG_T_D Transpiration (Koga, Ethiopia - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 101, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 77, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30101 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D/dimensions/DEKAD'}]}]
153 L3_LAM_T_D Transpiration (Lamego, Mozambique - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 102, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 78, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30102 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D/dimensions/DEKAD'}]}]
154 L3_MAL_T_D Transpiration (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 103, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 79, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30103 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D/dimensions/DEKAD'}]}]
155 L3_MUV_T_D Transpiration (Muvumba catchment, Rwanda - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 104, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 80, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30104 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D/dimensions/DEKAD'}]}]
156 L3_ODN_T_D Transpiration (Office du Niger, Mali - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 105, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 81, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30105 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D/dimensions/DEKAD'}]}]
157 L3_SED_T_D Transpiration (Senegal Delta, Senegal - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 106, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 82, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30106 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D/dimensions/DEKAD'}]}]
158 L3_YAN_T_D Transpiration (Yanze catchment, Rwanda - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 107, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 83, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30107 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D/dimensions/DEKAD'}]}]
159 L3_ZAN_T_D Transpiration (Zankalon, Egypt - Dekadal) The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 108, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 84, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30108 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D/dimensions/DEKAD'}]}]
160 L3_AWA_E_D Evaporation (Awash, Ethiopia - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 109, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 85, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30109 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D/dimensions/DEKAD'}]}]
161 L3_BKA_E_D Evaporation (Bekaa, Lebanon - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 110, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 86, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30110 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D/dimensions/DEKAD'}]}]
162 L3_BUS_E_D Evaporation (Busia, Kenya - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 111, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 87, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30111 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D/dimensions/DEKAD'}]}]
163 L3_GEZ_E_D Evaporation (Gezira, Sudan - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 112, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 88, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30112 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D/dimensions/DEKAD'}]}]
164 L3_KOG_E_D Evaporation (Koga, Ethiopia - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 113, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 89, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30113 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D/dimensions/DEKAD'}]}]
165 L3_LAM_E_D Evaporation (Lamego, Mozambique - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 114, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 90, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30114 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D/dimensions/DEKAD'}]}]
166 L3_MAL_E_D Evaporation (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 115, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 91, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30115 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D/dimensions/DEKAD'}]}]
167 L3_MUV_E_D Evaporation (Muvumba catchment, Rwanda - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 116, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 92, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30116 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D/dimensions/DEKAD'}]}]
168 L3_ODN_E_D Evaporation (Office du Niger, Mali - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 117, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 93, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30117 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D/dimensions/DEKAD'}]}]
169 L3_SED_E_D Evaporation (Senegal Delta, Senegal - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 118, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 94, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30118 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D/dimensions/DEKAD'}]}]
170 L3_YAN_E_D Evaporation (Yanze catchment, Rwanda - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 119, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 95, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30119 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D/dimensions/DEKAD'}]}]
171 L3_ZAN_E_D Evaporation (Zankalon, Egypt - Dekadal) The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 120, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 96, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30120 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D/dimensions/DEKAD'}]}]
172 L3_AWA_I_D Interception (Awash, Ethiopia - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 121, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 97, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30121 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D/dimensions/DEKAD'}]}]
173 L3_BKA_I_D Interception (Bekaa, Lebanon - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 122, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 98, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30122 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D/dimensions/DEKAD'}]}]
174 L3_BUS_I_D Interception (Busia, Kenya - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 123, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 99, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30123 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D/dimensions/DEKAD'}]}]
175 L3_GEZ_I_D Interception (Gezira, Sudan - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 124, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 100, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30124 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D/dimensions/DEKAD'}]}]
176 L3_KOG_I_D Interception (Koga, Ethiopia - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 125, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 101, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30125 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D/dimensions/DEKAD'}]}]
177 L3_LAM_I_D Interception (Lamego, Mozambique - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 126, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 102, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30126 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D/dimensions/DEKAD'}]}]
178 L3_MAL_I_D Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 127, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 103, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30127 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D/dimensions/DEKAD'}]}]
179 L3_MUV_I_D Interception (Muvumba catchment, Rwanda - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 128, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 104, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30128 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D/dimensions/DEKAD'}]}]
180 L3_ODN_I_D Interception (Office du Niger, Mali - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 129, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 105, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30129 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D/dimensions/DEKAD'}]}]
181 L3_SED_I_D Interception (Senegal Delta, Senegal - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 130, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 106, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30130 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D/dimensions/DEKAD'}]}]
182 L3_YAN_I_D Interception (Yanze catchment, Rwanda - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 131, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 107, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30131 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D/dimensions/DEKAD'}]}]
183 L3_ZAN_I_D Interception (Zankalon, Egypt - Dekadal) The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 132, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 108, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30132 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D'}] {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D/measures/WATER_MM'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D/dimensions/DEKAD'}]}]
184 L3_AWA_NPP_D Net Primary Production (Awash, Ethiopia - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 133, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30133 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D/dimensions/DEKAD'}]}]
185 L3_BKA_NPP_D Net Primary Production (Bekaa, Lebanon - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 134, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30134 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D/dimensions/DEKAD'}]}]
186 L3_BUS_NPP_D Net Primary Production (Busia, Kenya - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 135, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30135 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D/dimensions/DEKAD'}]}]
187 L3_GEZ_NPP_D Net Primary Production (Gezira, Sudan - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 136, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30136 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D/dimensions/DEKAD'}]}]
188 L3_KOG_NPP_D Net Primary Production (Koga, Ethiopia - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 137, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30137 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D/dimensions/DEKAD'}]}]
189 L3_LAM_NPP_D Net Primary Production (Lamego, Mozambique - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 138, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30138 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D/dimensions/DEKAD'}]}]
190 L3_MAL_NPP_D Net Primary Production (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 139, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30139 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D/dimensions/DEKAD'}]}]
191 L3_MUV_NPP_D Net Primary Production (Muvumba catchment, Rwanda - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 140, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30140 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D/dimensions/DEKAD'}]}]
192 L3_ODN_NPP_D Net Primary Production (Office du Niger, Mali - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 141, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30141 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D/dimensions/DEKAD'}]}]
193 L3_SED_NPP_D Net Primary Production (Senegal Delta, Senegal - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 142, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 10, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30142 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D/dimensions/DEKAD'}]}]
194 L3_YAN_NPP_D Net Primary Production (Yanze catchment, Rwanda - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 143, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 11, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30143 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D/dimensions/DEKAD'}]}]
195 L3_ZAN_NPP_D Net Primary Production (Zankalon, Egypt - Dekadal) Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} [{'name': 'L3', 'index': 144, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30144 {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D'}] {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D/measures/NPP'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D/dimensions/DEKAD'}]}]
196 L3_AWA_TBP_S Total Biomass Production (Awash, Ethiopia - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 145, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30145 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/dimensions/SEASON'}]}]
197 L3_BKA_TBP_S Total Biomass Production (Bekaa, Lebanon - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 146, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30146 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/dimensions/SEASON'}]}]
198 L3_BUS_TBP_S Total Biomass Production (Busia, Kenya - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 147, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30147 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/dimensions/SEASON'}]}]
199 L3_GEZ_TBP_S Total Biomass Production (Gezira, Sudan - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 148, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30148 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/dimensions/SEASON'}]}]
200 L3_KOG_TBP_S Total Biomass Production (Koga, Ethiopia - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 149, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30149 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/dimensions/SEASON'}]}]
201 L3_LAM_TBP_S Total Biomass Production (Lamego, Mozambique - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 150, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30150 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/dimensions/SEASON'}]}]
202 L3_MAL_TBP_S Total Biomass Production (Malwathu Oya West Sub Catchment, Sri Lanka - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 151, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30151 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/dimensions/SEASON'}]}]
203 L3_MUV_TBP_S Total Biomass Production (Muvumba catchment, Rwanda - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 152, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30152 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/dimensions/SEASON'}]}]
204 L3_ODN_TBP_S Total Biomass Production (Office du Niger, Mali - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 153, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30153 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/dimensions/SEASON'}]}]
205 L3_SED_TBP_S Total Biomass Production (Senegal Delta, Senegal - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 154, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30154 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/dimensions/SEASON'}]}]
206 L3_YAN_TBP_S Total Biomass Production (Yanze catchment, Rwanda - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 155, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30155 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/dimensions/SEASON'}]}]
207 L3_ZAN_TBP_S Total Biomass Production (Zankalon, Egypt - Seasonal) Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 156, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30156 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S'}] {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/measures/LPR_S'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/dimensions/SEASON'}]}]
208 L3_AWA_LCC_D Land Cover Classification (Awash, Ethiopia - Dekadal) This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 157, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 25, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30157 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D'}] {'code': 'L3_AWA_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '22': {'caption': 'Sugarcane', 'description': 'Land cultivated with sugarcane under rainfed conditions'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '122': {'caption': 'Irrigated sugar cane', 'description': 'Land cultivated with sugar cane under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D/measures/L3_AWA_LCC'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D/dimensions/DEKAD'}]}]
209 L3_BKA_LCC_D Land Cover Classification (Bekaa, Lebanon - Dekadal) This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 158, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 26, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30158 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D'}] {'code': 'L3_BKA_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (dense) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '5': {'caption': 'Bare', 'description': 'Areas without vegetation, including bare rock and bare soil. '}, '7': {'caption': 'Artificial', 'description': 'Land that has an artificial cover as a result of human activities'}, '8': {'caption': 'Wheat', 'description': 'Land cultivated with wheat under rainfed conditions'}, '9': {'caption': 'Maize', 'description': 'Land cultivated with maize under rainfed conditions'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '13': {'caption': 'Orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '15': {'caption': 'Grapes', 'description': 'Land cultivated with grapes under rainfed conditions'}, '16': {'caption': 'Orchard (sparse)', 'description': 'Tree cover with canopy cover < 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '17': {'caption': 'Wetland', 'description': 'Land with a permanent mixture of water and natural vegetation'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '50': {'caption': 'Other perennial', 'description': 'Unidentified woody perennial vegetation, such as hedges and tree lines as well as unidentified perennial herbaceous vegetation such as field boundaries and vegetation along irrigation canals, and close to water bodies, under rainfed conditions'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '115': {'caption': 'Irrigated grapes', 'description': 'Land cultivated with grapes under irrigated conditions'}, '116': {'caption': 'Irrigated orchard (sparse)', 'description': 'Tree cover with canopy cover < 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '150': {'caption': 'Irrigated other perennials', 'description': 'Unidentified woody perennial vegetation, such as hedges and tree lines as well as unidentified perennial herbaceous vegetation such as field boundaries and vegetation along irrigation canals, and close to water bodies, under irrigated conditions'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D/measures/L3_BKA_LCC'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D/dimensions/DEKAD'}]}]
210 L3_KOG_LCC_D Land Cover Classification (Koga, Ethiopia - Dekadal) This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 161, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 29, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30161 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D'}] {'code': 'L3_KOG_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '2': {'caption': 'Tree cover (open) ', 'description': 'Tree cover with a canopy cover 15%-70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '8': {'caption': 'Wheat', 'description': 'Land cultivated with wheat under rainfed conditions'}, '9': {'caption': 'Maize', 'description': 'Land cultivated with maize under rainfed conditions'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '23': {'caption': 'Teff', 'description': 'Land cultivated with teff under rainfed conditions.'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '123': {'caption': 'Irrigated teff', 'description': 'Land cultivated with teff under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D/measures/L3_KOG_LCC'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D/dimensions/DEKAD'}]}]
211 L3_ODN_LCC_D Land Cover Classification (Office du Niger, Mali - Dekadal) This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 165, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 33, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30165 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D'}] {'code': 'L3_ODN_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '120': {'caption': 'Irrigated rice', 'description': 'Land cultivated with rice under irrigated conditions'}, '122': {'caption': 'Irrigated sugar cane', 'description': 'Land cultivated with sugar cane under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D/measures/L3_ODN_LCC'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D/dimensions/DEKAD'}]}]
212 L3_ZAN_LCC_D Land Cover Classification (Zankalon, Egypt - Dekadal) This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} [{'name': 'L3', 'index': 168, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 36, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30168 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D'}] {'code': 'L3_ZAN_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'5': {'caption': 'Bare', 'description': 'Areas without vegetation, including bare rock and bare soil. '}, '7': {'caption': 'Artificial', 'description': 'Land that has an artificial cover as a result of human activities'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '13': {'caption': 'Orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '15': {'caption': 'Grapes', 'description': 'Land cultivated with grapes under rainfed conditions'}, '19': {'caption': 'Water', 'description': 'Water body'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '115': {'caption': 'Irrigated grapes', 'description': 'Land cultivated with grapes under irrigated conditions'}, '120': {'caption': 'Irrigated rice', 'description': 'Land cultivated with rice under irrigated conditions'}, '124': {'caption': 'Irrigated cotton', 'description': 'Land cultivated with cotton under irrigated conditions'}, '125': {'caption': 'Irrigated clover', 'description': 'Land cultivated with clover under irrigated conditions'}, '126': {'caption': 'Irrigated onions', 'description': 'Land cultivated with onions under irrigated conditions'}, '127': {'caption': 'Irrigated carrots', 'description': 'Land cultivated with carrots under irrigated conditions'}, '128': {'caption': 'Irrigated eggplants', 'description': 'Land cultivated with eggplants under irrigated conditions'}, '129': {'caption': 'Irrigated flax', 'description': 'Land cultivated with flax under irrigated conditions'}, '131': {'caption': 'Irrigated sugar beet', 'description': 'Land cultivated with sugar beet under irrigated conditions'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D/measures/L3_ZAN_LCC'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D/dimensions/DEKAD'}]}]
213 L3_AWA_PHE_S Phenology (Awash, Ethiopia - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 169, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30169 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/STAGE'}]}]
214 L3_BKA_PHE_S Phenology (Bekaa, Lebanon - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 170, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30170 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/STAGE'}]}]
215 L3_BUS_PHE_S Phenology (Busia, Kenya - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 171, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30171 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/STAGE'}]}]
216 L3_GEZ_PHE_S Phenology (Gezira, Sudan - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 172, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30172 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/STAGE'}]}]
217 L3_KOG_PHE_S Phenology (Koga, Ethiopia - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 173, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30173 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/STAGE'}]}]
218 L3_LAM_PHE_S Phenology (Lamego, Mozambique - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 174, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30174 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/STAGE'}]}]
219 L3_MAL_PHE_S Phenology (Malwathu Oya West Sub Catchment, Sri Lanka - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} [{'name': 'L3', 'index': 175, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 43, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30175 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/STAGE'}]}]
220 L3_MUV_PHE_S Phenology (Muvumba catchment, Rwanda - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} [{'name': 'L3', 'index': 176, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 44, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30176 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/STAGE'}]}]
221 L3_ODN_PHE_S Phenology (Office du Niger, Mali - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 177, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30177 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/STAGE'}]}]
222 L3_SED_PHE_S Phenology (Senegal Delta, Senegal - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} [{'name': 'L3', 'index': 178, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 46, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30178 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/STAGE'}]}]
223 L3_YAN_PHE_S Phenology (Yanze catchment, Rwanda - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} [{'name': 'L3', 'index': 179, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 47, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30179 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/STAGE'}]}]
224 L3_ZAN_PHE_S Phenology (Zankalon, Egypt - Seasonal) Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} [{'name': 'L3', 'index': 180, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30180 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S'}] {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/measures/PHE'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/STAGE'}]}]
225 L3_AWA_QUAL_LCC_S Quality of Land Cover Classification (Awash, Ethiopia - Seasonal) The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} [{'name': 'L3', 'index': 181, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30181 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/measures/ACC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/dimensions/SEASON'}]}]
226 L3_BKA_QUAL_LCC_S Quality of Land Cover Classification (Bekaa, Lebanon - Seasonal) The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'flags': [{'value': 240, 'description': 'used fixed mask'}, {'value': 241, 'description': 'reclassified during post-processing'}], 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} [{'name': 'L3', 'index': 182, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30182 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/measures/ACC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/dimensions/SEASON'}]}]
227 L3_KOG_QUAL_LCC_S Quality of Land Cover Classification (Koga, Ethiopia - Seasonal) The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'flags': [{'value': 240, 'description': 'used fixed mask'}, {'value': 241, 'description': 'reclassified during post-processing'}], 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} [{'name': 'L3', 'index': 185, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30185 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/measures/ACC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/dimensions/SEASON'}]}]
228 L3_ODN_QUAL_LCC_S Quality of Land Cover Classification (Office du Niger, Mali - Seasonal) The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} [{'name': 'L3', 'index': 189, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30189 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/measures/ACC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/dimensions/SEASON'}]}]
229 L3_ZAN_QUAL_LCC_S Quality of Land Cover Classification (Zankalon, Egypt - Seasonal) The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} [{'name': 'L3', 'index': 192, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30192 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/measures/ACC'}]} [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/dimensions/SEASON'}]}]
230 L3_AWA_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Awash, Ethiopia - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Awash, Ethiopia', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N'} [{'name': 'L3', 'index': 193, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30193 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D/dimensions/DEKAD'}]}]
231 L3_BKA_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Bekaa, Lebanon - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Bekaa, Lebanon', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} [{'name': 'L3', 'index': 194, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30194 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D/dimensions/DEKAD'}]}]
232 L3_BUS_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Busia, Kenya - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Busia, Kenya', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} [{'name': 'L3', 'index': 195, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30195 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D/dimensions/DEKAD'}]}]
233 L3_GEZ_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Gezira, Sudan - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Gezira, Sudan', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} [{'name': 'L3', 'index': 196, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30196 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D/dimensions/DEKAD'}]}]
234 L3_KOG_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Koga, Ethiopia - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Koga, Ethiopia', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N'} [{'name': 'L3', 'index': 197, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30197 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D/dimensions/DEKAD'}]}]
235 L3_LAM_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Lamego, Mozambique - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Lamego, Mozambique', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S'} [{'name': 'L3', 'index': 198, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30198 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D/dimensions/DEKAD'}]}]
236 L3_MAL_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L3', 'index': 199, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30199 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D/dimensions/DEKAD'}]}]
237 L3_MUV_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Muvumba catchment, Rwanda - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L3', 'index': 200, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30200 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D/dimensions/DEKAD'}]}]
238 L3_ODN_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Office du Niger, Mali - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Office du Niger, Mali', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N'} [{'name': 'L3', 'index': 201, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30201 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D/dimensions/DEKAD'}]}]
239 L3_SED_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Senegal Delta, Senegal - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L3', 'index': 202, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30202 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D/dimensions/DEKAD'}]}]
240 L3_YAN_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Yanze catchment, Rwanda - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} [{'name': 'L3', 'index': 203, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30203 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D/dimensions/DEKAD'}]}]
241 L3_ZAN_QUAL_NDVI_D Quality of Normalized Difference Vegetation Index (Zankalon, Egypt - Dekadal) The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Zankalon, Egypt', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} [{'name': 'L3', 'index': 204, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30204 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D'}] {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D/measures/N_DEKADS'}]} [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D/dimensions/DEKAD'}]}]
242 L3_AWA_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Awash, Ethiopia - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 217, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30217 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT/dimensions/LTP'}]}]
243 L3_BKA_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Bekaa, Lebanon - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 218, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30218 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT/dimensions/LTP'}]}]
244 L3_BUS_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Busia, Kenya - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 219, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30219 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT/dimensions/LTP'}]}]
245 L3_GEZ_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Gezira, Sudan - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 220, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30220 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT/dimensions/LTP'}]}]
246 L3_KOG_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Koga, Ethiopia - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 221, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30221 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT/dimensions/LTP'}]}]
247 L3_LAM_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Lamego, Mozambique - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 222, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30222 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT/dimensions/LTP'}]}]
248 L3_ODN_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Office du Niger, Mali - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 225, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30225 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT/dimensions/LTP'}]}]
249 L3_ZAN_QUAL_NDVI_LT Quality of Normalized Difference Vegetation Index (Zankalon, Egypt - Long Term) The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} [{'name': 'L3', 'index': 228, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] WAPOR_2 RASTER 30228 {'pixelTimeSeries': True, 'areaStats': True} False [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT'}] {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT/measures/ACC'}]} [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT/dimensions/LTP'}]}]
In [4]:
# check further meta data content of the Precipitation data layer
cube_code='L1_PCP_D'
cube_info=WaPOR.API.getCubeInfo(cube_code)
cube_info
Out[4]:
{'code': 'L1_PCP_D',
 'caption': 'Precipitation (Dekadal)',
 'description': 'Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha).',
 'additionalInfo': {'format': 'Raster Dataset',
  'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)',
  'dataType': 'Int16 (16bit Integer)',
  'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1',
  'noDataValue': -9999,
  'spatialResolution': 'Approximately 5km (0.05 degree)',
  'spatialExtent': 'Africa and Near East',
  'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)',
  'temporalResolution': 'from January 2009 to present',
  'temporalExtent': 'Dekadal (approximately every 10 days)',
  'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.',
  'methodology': 'See daily precipitation (L1_PCP_E) for further information. The dekadal average is obtained by taking the daily PCP, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'},
 'tags': [{'name': 'L1', 'index': 20, 'context': 'LEVELS_LIST'},
  {'name': 'CLIMATE', 'index': 6, 'context': 'CATEGORIES_LIST'},
  {'name': 'L1', 'index': 20, 'context': 'levels'},
  {'name': 'C4', 'index': 6, 'context': 'categories'}],
 'workspaceCode': 'WAPOR_2',
 'dataType': 'RASTER',
 'index': 120,
 'operation': {'pixelTimeSeries': True, 'areaStatsTimeSeries': True},
 'hidden': False,
 'links': [{'rel': 'self',
   'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D'}],
 'measure': {'code': 'WATER_MM',
  'caption': 'Amount of Water',
  'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).',
  'workspaceCode': 'WAPOR_2',
  'unit': 'mm',
  'scale': 3,
  'multiplier': 0.1,
  'index': 2,
  'links': [{'rel': 'self',
    'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/measures/WATER_MM'}]},
 'dimension': [{'code': 'DEKAD',
   'caption': 'Dekad (10-Days period)',
   'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)',
   'workspaceCode': 'WAPOR_2',
   'hierarchical': False,
   'type': 'TIME',
   'timeSubtype': '10-DAYS',
   'index': 1,
   'links': [{'rel': 'self',
     'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/dimensions/DEKAD'}]}]}

Some useful information about dataset can be found in cube_info¶

In [5]:
print('Description: {0} \n\nmultiplier: {1} \n\nunit: {2} \n'.format(cube_info['description'],
                    cube_info['measure']['multiplier'],
                    cube_info['measure']['unit']))
Description: Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha). 

multiplier: 0.1 

unit: mm 

In [6]:
df_avail=WaPOR.API.getAvailData(cube_code, time_range='2009-01-01,2023-12-01')
df_avail
Out[6]:
DEKAD raster_id bbox time_code
0 2009-01 from 01 to 10 L1_PCP_0901 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-01-01,2009-01-11)
1 2009-01 from 11 to 20 L1_PCP_0902 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-01-11,2009-01-21)
2 2009-01 from 21 to 31 L1_PCP_0903 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-01-21,2009-02-01)
3 2009-02 from 01 to 10 L1_PCP_0904 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-02-01,2009-02-11)
4 2009-02 from 11 to 20 L1_PCP_0905 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-02-11,2009-02-21)
5 2009-02 from 21 to 28 L1_PCP_0906 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-02-21,2009-03-01)
6 2009-03 from 01 to 10 L1_PCP_0907 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-03-01,2009-03-11)
7 2009-03 from 11 to 20 L1_PCP_0908 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-03-11,2009-03-21)
8 2009-03 from 21 to 31 L1_PCP_0909 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-03-21,2009-04-01)
9 2009-04 from 01 to 10 L1_PCP_0910 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-04-01,2009-04-11)
10 2009-04 from 11 to 20 L1_PCP_0911 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-04-11,2009-04-21)
11 2009-04 from 21 to 30 L1_PCP_0912 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-04-21,2009-05-01)
12 2009-05 from 01 to 10 L1_PCP_0913 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-05-01,2009-05-11)
13 2009-05 from 11 to 20 L1_PCP_0914 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-05-11,2009-05-21)
14 2009-05 from 21 to 31 L1_PCP_0915 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-05-21,2009-06-01)
15 2009-06 from 01 to 10 L1_PCP_0916 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-06-01,2009-06-11)
16 2009-06 from 11 to 20 L1_PCP_0917 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-06-11,2009-06-21)
17 2009-06 from 21 to 30 L1_PCP_0918 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-06-21,2009-07-01)
18 2009-07 from 01 to 10 L1_PCP_0919 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-07-01,2009-07-11)
19 2009-07 from 11 to 20 L1_PCP_0920 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-07-11,2009-07-21)
20 2009-07 from 21 to 31 L1_PCP_0921 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-07-21,2009-08-01)
21 2009-08 from 01 to 10 L1_PCP_0922 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-08-01,2009-08-11)
22 2009-08 from 11 to 20 L1_PCP_0923 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-08-11,2009-08-21)
23 2009-08 from 21 to 31 L1_PCP_0924 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-08-21,2009-09-01)
24 2009-09 from 01 to 10 L1_PCP_0925 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-09-01,2009-09-11)
25 2009-09 from 11 to 20 L1_PCP_0926 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-09-11,2009-09-21)
26 2009-09 from 21 to 30 L1_PCP_0927 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-09-21,2009-10-01)
27 2009-10 from 01 to 10 L1_PCP_0928 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-10-01,2009-10-11)
28 2009-10 from 11 to 20 L1_PCP_0929 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-10-11,2009-10-21)
29 2009-10 from 21 to 31 L1_PCP_0930 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-10-21,2009-11-01)
30 2009-11 from 01 to 10 L1_PCP_0931 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-11-01,2009-11-11)
31 2009-11 from 11 to 20 L1_PCP_0932 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-11-11,2009-11-21)
32 2009-11 from 21 to 30 L1_PCP_0933 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-11-21,2009-12-01)
33 2009-12 from 01 to 10 L1_PCP_0934 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-12-01,2009-12-11)
34 2009-12 from 11 to 20 L1_PCP_0935 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-12-11,2009-12-21)
35 2009-12 from 21 to 31 L1_PCP_0936 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2009-12-21,2010-01-01)
36 2010-01 from 01 to 10 L1_PCP_1001 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-01-01,2010-01-11)
37 2010-01 from 11 to 20 L1_PCP_1002 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-01-11,2010-01-21)
38 2010-01 from 21 to 31 L1_PCP_1003 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-01-21,2010-02-01)
39 2010-02 from 01 to 10 L1_PCP_1004 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-02-01,2010-02-11)
40 2010-02 from 11 to 20 L1_PCP_1005 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-02-11,2010-02-21)
41 2010-02 from 21 to 28 L1_PCP_1006 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-02-21,2010-03-01)
42 2010-03 from 01 to 10 L1_PCP_1007 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-03-01,2010-03-11)
43 2010-03 from 11 to 20 L1_PCP_1008 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-03-11,2010-03-21)
44 2010-03 from 21 to 31 L1_PCP_1009 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-03-21,2010-04-01)
45 2010-04 from 01 to 10 L1_PCP_1010 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-04-01,2010-04-11)
46 2010-04 from 11 to 20 L1_PCP_1011 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-04-11,2010-04-21)
47 2010-04 from 21 to 30 L1_PCP_1012 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-04-21,2010-05-01)
48 2010-05 from 01 to 10 L1_PCP_1013 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-05-01,2010-05-11)
49 2010-05 from 11 to 20 L1_PCP_1014 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-05-11,2010-05-21)
50 2010-05 from 21 to 31 L1_PCP_1015 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-05-21,2010-06-01)
51 2010-06 from 01 to 10 L1_PCP_1016 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-06-01,2010-06-11)
52 2010-06 from 11 to 20 L1_PCP_1017 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-06-11,2010-06-21)
53 2010-06 from 21 to 30 L1_PCP_1018 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-06-21,2010-07-01)
54 2010-07 from 01 to 10 L1_PCP_1019 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-07-01,2010-07-11)
55 2010-07 from 11 to 20 L1_PCP_1020 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-07-11,2010-07-21)
56 2010-07 from 21 to 31 L1_PCP_1021 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-07-21,2010-08-01)
57 2010-08 from 01 to 10 L1_PCP_1022 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-08-01,2010-08-11)
58 2010-08 from 11 to 20 L1_PCP_1023 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-08-11,2010-08-21)
59 2010-08 from 21 to 31 L1_PCP_1024 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-08-21,2010-09-01)
60 2010-09 from 01 to 10 L1_PCP_1025 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-09-01,2010-09-11)
61 2010-09 from 11 to 20 L1_PCP_1026 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-09-11,2010-09-21)
62 2010-09 from 21 to 30 L1_PCP_1027 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-09-21,2010-10-01)
63 2010-10 from 01 to 10 L1_PCP_1028 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-10-01,2010-10-11)
64 2010-10 from 11 to 20 L1_PCP_1029 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-10-11,2010-10-21)
65 2010-10 from 21 to 31 L1_PCP_1030 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-10-21,2010-11-01)
66 2010-11 from 01 to 10 L1_PCP_1031 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-11-01,2010-11-11)
67 2010-11 from 11 to 20 L1_PCP_1032 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-11-11,2010-11-21)
68 2010-11 from 21 to 30 L1_PCP_1033 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-11-21,2010-12-01)
69 2010-12 from 01 to 10 L1_PCP_1034 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-12-01,2010-12-11)
70 2010-12 from 11 to 20 L1_PCP_1035 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-12-11,2010-12-21)
71 2010-12 from 21 to 31 L1_PCP_1036 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2010-12-21,2011-01-01)
72 2011-01 from 01 to 10 L1_PCP_1101 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-01-01,2011-01-11)
73 2011-01 from 11 to 20 L1_PCP_1102 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-01-11,2011-01-21)
74 2011-01 from 21 to 31 L1_PCP_1103 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-01-21,2011-02-01)
75 2011-02 from 01 to 10 L1_PCP_1104 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-02-01,2011-02-11)
76 2011-02 from 11 to 20 L1_PCP_1105 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-02-11,2011-02-21)
77 2011-02 from 21 to 28 L1_PCP_1106 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-02-21,2011-03-01)
78 2011-03 from 01 to 10 L1_PCP_1107 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-03-01,2011-03-11)
79 2011-03 from 11 to 20 L1_PCP_1108 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-03-11,2011-03-21)
80 2011-03 from 21 to 31 L1_PCP_1109 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-03-21,2011-04-01)
81 2011-04 from 01 to 10 L1_PCP_1110 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-04-01,2011-04-11)
82 2011-04 from 11 to 20 L1_PCP_1111 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-04-11,2011-04-21)
83 2011-04 from 21 to 30 L1_PCP_1112 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-04-21,2011-05-01)
84 2011-05 from 01 to 10 L1_PCP_1113 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-05-01,2011-05-11)
85 2011-05 from 11 to 20 L1_PCP_1114 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-05-11,2011-05-21)
86 2011-05 from 21 to 31 L1_PCP_1115 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-05-21,2011-06-01)
87 2011-06 from 01 to 10 L1_PCP_1116 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-06-01,2011-06-11)
88 2011-06 from 11 to 20 L1_PCP_1117 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-06-11,2011-06-21)
89 2011-06 from 21 to 30 L1_PCP_1118 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-06-21,2011-07-01)
90 2011-07 from 01 to 10 L1_PCP_1119 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-07-01,2011-07-11)
91 2011-07 from 11 to 20 L1_PCP_1120 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-07-11,2011-07-21)
92 2011-07 from 21 to 31 L1_PCP_1121 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-07-21,2011-08-01)
93 2011-08 from 01 to 10 L1_PCP_1122 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-08-01,2011-08-11)
94 2011-08 from 11 to 20 L1_PCP_1123 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-08-11,2011-08-21)
95 2011-08 from 21 to 31 L1_PCP_1124 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-08-21,2011-09-01)
96 2011-09 from 01 to 10 L1_PCP_1125 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-09-01,2011-09-11)
97 2011-09 from 11 to 20 L1_PCP_1126 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-09-11,2011-09-21)
98 2011-09 from 21 to 30 L1_PCP_1127 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-09-21,2011-10-01)
99 2011-10 from 01 to 10 L1_PCP_1128 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-10-01,2011-10-11)
100 2011-10 from 11 to 20 L1_PCP_1129 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-10-11,2011-10-21)
101 2011-10 from 21 to 31 L1_PCP_1130 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-10-21,2011-11-01)
102 2011-11 from 01 to 10 L1_PCP_1131 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-11-01,2011-11-11)
103 2011-11 from 11 to 20 L1_PCP_1132 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-11-11,2011-11-21)
104 2011-11 from 21 to 30 L1_PCP_1133 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-11-21,2011-12-01)
105 2011-12 from 01 to 10 L1_PCP_1134 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-12-01,2011-12-11)
106 2011-12 from 11 to 20 L1_PCP_1135 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-12-11,2011-12-21)
107 2011-12 from 21 to 31 L1_PCP_1136 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2011-12-21,2012-01-01)
108 2012-01 from 01 to 10 L1_PCP_1201 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-01-01,2012-01-11)
109 2012-01 from 11 to 20 L1_PCP_1202 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-01-11,2012-01-21)
110 2012-01 from 21 to 31 L1_PCP_1203 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-01-21,2012-02-01)
111 2012-02 from 01 to 10 L1_PCP_1204 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-02-01,2012-02-11)
112 2012-02 from 11 to 20 L1_PCP_1205 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-02-11,2012-02-21)
113 2012-02 from 21 to 29 L1_PCP_1206 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-02-21,2012-03-01)
114 2012-03 from 01 to 10 L1_PCP_1207 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-03-01,2012-03-11)
115 2012-03 from 11 to 20 L1_PCP_1208 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-03-11,2012-03-21)
116 2012-03 from 21 to 31 L1_PCP_1209 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-03-21,2012-04-01)
117 2012-04 from 01 to 10 L1_PCP_1210 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-04-01,2012-04-11)
118 2012-04 from 11 to 20 L1_PCP_1211 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-04-11,2012-04-21)
119 2012-04 from 21 to 30 L1_PCP_1212 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-04-21,2012-05-01)
120 2012-05 from 01 to 10 L1_PCP_1213 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-05-01,2012-05-11)
121 2012-05 from 11 to 20 L1_PCP_1214 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-05-11,2012-05-21)
122 2012-05 from 21 to 31 L1_PCP_1215 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-05-21,2012-06-01)
123 2012-06 from 01 to 10 L1_PCP_1216 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-06-01,2012-06-11)
124 2012-06 from 11 to 20 L1_PCP_1217 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-06-11,2012-06-21)
125 2012-06 from 21 to 30 L1_PCP_1218 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-06-21,2012-07-01)
126 2012-07 from 01 to 10 L1_PCP_1219 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-07-01,2012-07-11)
127 2012-07 from 11 to 20 L1_PCP_1220 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-07-11,2012-07-21)
128 2012-07 from 21 to 31 L1_PCP_1221 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-07-21,2012-08-01)
129 2012-08 from 01 to 10 L1_PCP_1222 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-08-01,2012-08-11)
130 2012-08 from 11 to 20 L1_PCP_1223 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-08-11,2012-08-21)
131 2012-08 from 21 to 31 L1_PCP_1224 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-08-21,2012-09-01)
132 2012-09 from 01 to 10 L1_PCP_1225 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-09-01,2012-09-11)
133 2012-09 from 11 to 20 L1_PCP_1226 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-09-11,2012-09-21)
134 2012-09 from 21 to 30 L1_PCP_1227 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-09-21,2012-10-01)
135 2012-10 from 01 to 10 L1_PCP_1228 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-10-01,2012-10-11)
136 2012-10 from 11 to 20 L1_PCP_1229 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-10-11,2012-10-21)
137 2012-10 from 21 to 31 L1_PCP_1230 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-10-21,2012-11-01)
138 2012-11 from 01 to 10 L1_PCP_1231 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-11-01,2012-11-11)
139 2012-11 from 11 to 20 L1_PCP_1232 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-11-11,2012-11-21)
140 2012-11 from 21 to 30 L1_PCP_1233 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-11-21,2012-12-01)
141 2012-12 from 01 to 10 L1_PCP_1234 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-12-01,2012-12-11)
142 2012-12 from 11 to 20 L1_PCP_1235 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-12-11,2012-12-21)
143 2012-12 from 21 to 31 L1_PCP_1236 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2012-12-21,2013-01-01)
144 2013-01 from 01 to 10 L1_PCP_1301 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-01-01,2013-01-11)
145 2013-01 from 11 to 20 L1_PCP_1302 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-01-11,2013-01-21)
146 2013-01 from 21 to 31 L1_PCP_1303 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-01-21,2013-02-01)
147 2013-02 from 01 to 10 L1_PCP_1304 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-02-01,2013-02-11)
148 2013-02 from 11 to 20 L1_PCP_1305 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-02-11,2013-02-21)
149 2013-02 from 21 to 28 L1_PCP_1306 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-02-21,2013-03-01)
150 2013-03 from 01 to 10 L1_PCP_1307 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-03-01,2013-03-11)
151 2013-03 from 11 to 20 L1_PCP_1308 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-03-11,2013-03-21)
152 2013-03 from 21 to 31 L1_PCP_1309 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-03-21,2013-04-01)
153 2013-04 from 01 to 10 L1_PCP_1310 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-04-01,2013-04-11)
154 2013-04 from 11 to 20 L1_PCP_1311 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-04-11,2013-04-21)
155 2013-04 from 21 to 30 L1_PCP_1312 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-04-21,2013-05-01)
156 2013-05 from 01 to 10 L1_PCP_1313 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-05-01,2013-05-11)
157 2013-05 from 11 to 20 L1_PCP_1314 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-05-11,2013-05-21)
158 2013-05 from 21 to 31 L1_PCP_1315 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-05-21,2013-06-01)
159 2013-06 from 01 to 10 L1_PCP_1316 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-06-01,2013-06-11)
160 2013-06 from 11 to 20 L1_PCP_1317 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-06-11,2013-06-21)
161 2013-06 from 21 to 30 L1_PCP_1318 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-06-21,2013-07-01)
162 2013-07 from 01 to 10 L1_PCP_1319 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-07-01,2013-07-11)
163 2013-07 from 11 to 20 L1_PCP_1320 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-07-11,2013-07-21)
164 2013-07 from 21 to 31 L1_PCP_1321 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-07-21,2013-08-01)
165 2013-08 from 01 to 10 L1_PCP_1322 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-08-01,2013-08-11)
166 2013-08 from 11 to 20 L1_PCP_1323 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-08-11,2013-08-21)
167 2013-08 from 21 to 31 L1_PCP_1324 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-08-21,2013-09-01)
168 2013-09 from 01 to 10 L1_PCP_1325 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-09-01,2013-09-11)
169 2013-09 from 11 to 20 L1_PCP_1326 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-09-11,2013-09-21)
170 2013-09 from 21 to 30 L1_PCP_1327 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-09-21,2013-10-01)
171 2013-10 from 01 to 10 L1_PCP_1328 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-10-01,2013-10-11)
172 2013-10 from 11 to 20 L1_PCP_1329 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-10-11,2013-10-21)
173 2013-10 from 21 to 31 L1_PCP_1330 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-10-21,2013-11-01)
174 2013-11 from 01 to 10 L1_PCP_1331 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-11-01,2013-11-11)
175 2013-11 from 11 to 20 L1_PCP_1332 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-11-11,2013-11-21)
176 2013-11 from 21 to 30 L1_PCP_1333 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-11-21,2013-12-01)
177 2013-12 from 01 to 10 L1_PCP_1334 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-12-01,2013-12-11)
178 2013-12 from 11 to 20 L1_PCP_1335 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-12-11,2013-12-21)
179 2013-12 from 21 to 31 L1_PCP_1336 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2013-12-21,2014-01-01)
180 2014-01 from 01 to 10 L1_PCP_1401 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-01-01,2014-01-11)
181 2014-01 from 11 to 20 L1_PCP_1402 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-01-11,2014-01-21)
182 2014-01 from 21 to 31 L1_PCP_1403 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-01-21,2014-02-01)
183 2014-02 from 01 to 10 L1_PCP_1404 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-02-01,2014-02-11)
184 2014-02 from 11 to 20 L1_PCP_1405 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-02-11,2014-02-21)
185 2014-02 from 21 to 28 L1_PCP_1406 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-02-21,2014-03-01)
186 2014-03 from 01 to 10 L1_PCP_1407 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-03-01,2014-03-11)
187 2014-03 from 11 to 20 L1_PCP_1408 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-03-11,2014-03-21)
188 2014-03 from 21 to 31 L1_PCP_1409 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-03-21,2014-04-01)
189 2014-04 from 01 to 10 L1_PCP_1410 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-04-01,2014-04-11)
190 2014-04 from 11 to 20 L1_PCP_1411 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-04-11,2014-04-21)
191 2014-04 from 21 to 30 L1_PCP_1412 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-04-21,2014-05-01)
192 2014-05 from 01 to 10 L1_PCP_1413 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-05-01,2014-05-11)
193 2014-05 from 11 to 20 L1_PCP_1414 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-05-11,2014-05-21)
194 2014-05 from 21 to 31 L1_PCP_1415 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-05-21,2014-06-01)
195 2014-06 from 01 to 10 L1_PCP_1416 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-06-01,2014-06-11)
196 2014-06 from 11 to 20 L1_PCP_1417 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-06-11,2014-06-21)
197 2014-06 from 21 to 30 L1_PCP_1418 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-06-21,2014-07-01)
198 2014-07 from 01 to 10 L1_PCP_1419 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-07-01,2014-07-11)
199 2014-07 from 11 to 20 L1_PCP_1420 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-07-11,2014-07-21)
200 2014-07 from 21 to 31 L1_PCP_1421 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-07-21,2014-08-01)
201 2014-08 from 01 to 10 L1_PCP_1422 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-08-01,2014-08-11)
202 2014-08 from 11 to 20 L1_PCP_1423 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-08-11,2014-08-21)
203 2014-08 from 21 to 31 L1_PCP_1424 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-08-21,2014-09-01)
204 2014-09 from 01 to 10 L1_PCP_1425 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-09-01,2014-09-11)
205 2014-09 from 11 to 20 L1_PCP_1426 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-09-11,2014-09-21)
206 2014-09 from 21 to 30 L1_PCP_1427 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-09-21,2014-10-01)
207 2014-10 from 01 to 10 L1_PCP_1428 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-10-01,2014-10-11)
208 2014-10 from 11 to 20 L1_PCP_1429 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-10-11,2014-10-21)
209 2014-10 from 21 to 31 L1_PCP_1430 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-10-21,2014-11-01)
210 2014-11 from 01 to 10 L1_PCP_1431 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-11-01,2014-11-11)
211 2014-11 from 11 to 20 L1_PCP_1432 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-11-11,2014-11-21)
212 2014-11 from 21 to 30 L1_PCP_1433 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-11-21,2014-12-01)
213 2014-12 from 01 to 10 L1_PCP_1434 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-12-01,2014-12-11)
214 2014-12 from 11 to 20 L1_PCP_1435 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-12-11,2014-12-21)
215 2014-12 from 21 to 31 L1_PCP_1436 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2014-12-21,2015-01-01)
216 2015-01 from 01 to 10 L1_PCP_1501 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-01-01,2015-01-11)
217 2015-01 from 11 to 20 L1_PCP_1502 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-01-11,2015-01-21)
218 2015-01 from 21 to 31 L1_PCP_1503 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-01-21,2015-02-01)
219 2015-02 from 01 to 10 L1_PCP_1504 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-02-01,2015-02-11)
220 2015-02 from 11 to 20 L1_PCP_1505 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-02-11,2015-02-21)
221 2015-02 from 21 to 28 L1_PCP_1506 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-02-21,2015-03-01)
222 2015-03 from 01 to 10 L1_PCP_1507 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-03-01,2015-03-11)
223 2015-03 from 11 to 20 L1_PCP_1508 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-03-11,2015-03-21)
224 2015-03 from 21 to 31 L1_PCP_1509 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-03-21,2015-04-01)
225 2015-04 from 01 to 10 L1_PCP_1510 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-04-01,2015-04-11)
226 2015-04 from 11 to 20 L1_PCP_1511 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-04-11,2015-04-21)
227 2015-04 from 21 to 30 L1_PCP_1512 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-04-21,2015-05-01)
228 2015-05 from 01 to 10 L1_PCP_1513 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-05-01,2015-05-11)
229 2015-05 from 11 to 20 L1_PCP_1514 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-05-11,2015-05-21)
230 2015-05 from 21 to 31 L1_PCP_1515 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-05-21,2015-06-01)
231 2015-06 from 01 to 10 L1_PCP_1516 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-06-01,2015-06-11)
232 2015-06 from 11 to 20 L1_PCP_1517 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-06-11,2015-06-21)
233 2015-06 from 21 to 30 L1_PCP_1518 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-06-21,2015-07-01)
234 2015-07 from 01 to 10 L1_PCP_1519 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-07-01,2015-07-11)
235 2015-07 from 11 to 20 L1_PCP_1520 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-07-11,2015-07-21)
236 2015-07 from 21 to 31 L1_PCP_1521 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-07-21,2015-08-01)
237 2015-08 from 01 to 10 L1_PCP_1522 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-08-01,2015-08-11)
238 2015-08 from 11 to 20 L1_PCP_1523 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-08-11,2015-08-21)
239 2015-08 from 21 to 31 L1_PCP_1524 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-08-21,2015-09-01)
240 2015-09 from 01 to 10 L1_PCP_1525 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-09-01,2015-09-11)
241 2015-09 from 11 to 20 L1_PCP_1526 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-09-11,2015-09-21)
242 2015-09 from 21 to 30 L1_PCP_1527 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-09-21,2015-10-01)
243 2015-10 from 01 to 10 L1_PCP_1528 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-10-01,2015-10-11)
244 2015-10 from 11 to 20 L1_PCP_1529 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-10-11,2015-10-21)
245 2015-10 from 21 to 31 L1_PCP_1530 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-10-21,2015-11-01)
246 2015-11 from 01 to 10 L1_PCP_1531 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-11-01,2015-11-11)
247 2015-11 from 11 to 20 L1_PCP_1532 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-11-11,2015-11-21)
248 2015-11 from 21 to 30 L1_PCP_1533 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-11-21,2015-12-01)
249 2015-12 from 01 to 10 L1_PCP_1534 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-12-01,2015-12-11)
250 2015-12 from 11 to 20 L1_PCP_1535 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-12-11,2015-12-21)
251 2015-12 from 21 to 31 L1_PCP_1536 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2015-12-21,2016-01-01)
252 2016-01 from 01 to 10 L1_PCP_1601 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-01-01,2016-01-11)
253 2016-01 from 11 to 20 L1_PCP_1602 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-01-11,2016-01-21)
254 2016-01 from 21 to 31 L1_PCP_1603 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-01-21,2016-02-01)
255 2016-02 from 01 to 10 L1_PCP_1604 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-02-01,2016-02-11)
256 2016-02 from 11 to 20 L1_PCP_1605 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-02-11,2016-02-21)
257 2016-02 from 21 to 29 L1_PCP_1606 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-02-21,2016-03-01)
258 2016-03 from 01 to 10 L1_PCP_1607 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-03-01,2016-03-11)
259 2016-03 from 11 to 20 L1_PCP_1608 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-03-11,2016-03-21)
260 2016-03 from 21 to 31 L1_PCP_1609 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-03-21,2016-04-01)
261 2016-04 from 01 to 10 L1_PCP_1610 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-04-01,2016-04-11)
262 2016-04 from 11 to 20 L1_PCP_1611 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-04-11,2016-04-21)
263 2016-04 from 21 to 30 L1_PCP_1612 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-04-21,2016-05-01)
264 2016-05 from 01 to 10 L1_PCP_1613 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-05-01,2016-05-11)
265 2016-05 from 11 to 20 L1_PCP_1614 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-05-11,2016-05-21)
266 2016-05 from 21 to 31 L1_PCP_1615 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-05-21,2016-06-01)
267 2016-06 from 01 to 10 L1_PCP_1616 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-06-01,2016-06-11)
268 2016-06 from 11 to 20 L1_PCP_1617 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-06-11,2016-06-21)
269 2016-06 from 21 to 30 L1_PCP_1618 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-06-21,2016-07-01)
270 2016-07 from 01 to 10 L1_PCP_1619 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-07-01,2016-07-11)
271 2016-07 from 11 to 20 L1_PCP_1620 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-07-11,2016-07-21)
272 2016-07 from 21 to 31 L1_PCP_1621 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-07-21,2016-08-01)
273 2016-08 from 01 to 10 L1_PCP_1622 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-08-01,2016-08-11)
274 2016-08 from 11 to 20 L1_PCP_1623 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-08-11,2016-08-21)
275 2016-08 from 21 to 31 L1_PCP_1624 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-08-21,2016-09-01)
276 2016-09 from 01 to 10 L1_PCP_1625 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-09-01,2016-09-11)
277 2016-09 from 11 to 20 L1_PCP_1626 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-09-11,2016-09-21)
278 2016-09 from 21 to 30 L1_PCP_1627 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-09-21,2016-10-01)
279 2016-10 from 01 to 10 L1_PCP_1628 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-10-01,2016-10-11)
280 2016-10 from 11 to 20 L1_PCP_1629 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-10-11,2016-10-21)
281 2016-10 from 21 to 31 L1_PCP_1630 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-10-21,2016-11-01)
282 2016-11 from 01 to 10 L1_PCP_1631 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-11-01,2016-11-11)
283 2016-11 from 11 to 20 L1_PCP_1632 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-11-11,2016-11-21)
284 2016-11 from 21 to 30 L1_PCP_1633 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-11-21,2016-12-01)
285 2016-12 from 01 to 10 L1_PCP_1634 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-12-01,2016-12-11)
286 2016-12 from 11 to 20 L1_PCP_1635 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-12-11,2016-12-21)
287 2016-12 from 21 to 31 L1_PCP_1636 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2016-12-21,2017-01-01)
288 2017-01 from 01 to 10 L1_PCP_1701 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-01-01,2017-01-11)
289 2017-01 from 11 to 20 L1_PCP_1702 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-01-11,2017-01-21)
290 2017-01 from 21 to 31 L1_PCP_1703 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-01-21,2017-02-01)
291 2017-02 from 01 to 10 L1_PCP_1704 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-02-01,2017-02-11)
292 2017-02 from 11 to 20 L1_PCP_1705 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-02-11,2017-02-21)
293 2017-02 from 21 to 28 L1_PCP_1706 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-02-21,2017-03-01)
294 2017-03 from 01 to 10 L1_PCP_1707 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-03-01,2017-03-11)
295 2017-03 from 11 to 20 L1_PCP_1708 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-03-11,2017-03-21)
296 2017-03 from 21 to 31 L1_PCP_1709 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-03-21,2017-04-01)
297 2017-04 from 01 to 10 L1_PCP_1710 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-04-01,2017-04-11)
298 2017-04 from 11 to 20 L1_PCP_1711 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-04-11,2017-04-21)
299 2017-04 from 21 to 30 L1_PCP_1712 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-04-21,2017-05-01)
300 2017-05 from 01 to 10 L1_PCP_1713 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-05-01,2017-05-11)
301 2017-05 from 11 to 20 L1_PCP_1714 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-05-11,2017-05-21)
302 2017-05 from 21 to 31 L1_PCP_1715 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-05-21,2017-06-01)
303 2017-06 from 01 to 10 L1_PCP_1716 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-06-01,2017-06-11)
304 2017-06 from 11 to 20 L1_PCP_1717 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-06-11,2017-06-21)
305 2017-06 from 21 to 30 L1_PCP_1718 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-06-21,2017-07-01)
306 2017-07 from 01 to 10 L1_PCP_1719 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-07-01,2017-07-11)
307 2017-07 from 11 to 20 L1_PCP_1720 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-07-11,2017-07-21)
308 2017-07 from 21 to 31 L1_PCP_1721 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-07-21,2017-08-01)
309 2017-08 from 01 to 10 L1_PCP_1722 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-08-01,2017-08-11)
310 2017-08 from 11 to 20 L1_PCP_1723 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-08-11,2017-08-21)
311 2017-08 from 21 to 31 L1_PCP_1724 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-08-21,2017-09-01)
312 2017-09 from 01 to 10 L1_PCP_1725 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-09-01,2017-09-11)
313 2017-09 from 11 to 20 L1_PCP_1726 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-09-11,2017-09-21)
314 2017-09 from 21 to 30 L1_PCP_1727 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-09-21,2017-10-01)
315 2017-10 from 01 to 10 L1_PCP_1728 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-10-01,2017-10-11)
316 2017-10 from 11 to 20 L1_PCP_1729 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-10-11,2017-10-21)
317 2017-10 from 21 to 31 L1_PCP_1730 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-10-21,2017-11-01)
318 2017-11 from 01 to 10 L1_PCP_1731 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-11-01,2017-11-11)
319 2017-11 from 11 to 20 L1_PCP_1732 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-11-11,2017-11-21)
320 2017-11 from 21 to 30 L1_PCP_1733 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-11-21,2017-12-01)
321 2017-12 from 01 to 10 L1_PCP_1734 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-12-01,2017-12-11)
322 2017-12 from 11 to 20 L1_PCP_1735 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-12-11,2017-12-21)
323 2017-12 from 21 to 31 L1_PCP_1736 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2017-12-21,2018-01-01)
324 2018-01 from 01 to 10 L1_PCP_1801 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-01-01,2018-01-11)
325 2018-01 from 11 to 20 L1_PCP_1802 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-01-11,2018-01-21)
326 2018-01 from 21 to 31 L1_PCP_1803 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-01-21,2018-02-01)
327 2018-02 from 01 to 10 L1_PCP_1804 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-02-01,2018-02-11)
328 2018-02 from 11 to 20 L1_PCP_1805 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-02-11,2018-02-21)
329 2018-02 from 21 to 28 L1_PCP_1806 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-02-21,2018-03-01)
330 2018-03 from 01 to 10 L1_PCP_1807 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-03-01,2018-03-11)
331 2018-03 from 11 to 20 L1_PCP_1808 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-03-11,2018-03-21)
332 2018-03 from 21 to 31 L1_PCP_1809 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-03-21,2018-04-01)
333 2018-04 from 01 to 10 L1_PCP_1810 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-04-01,2018-04-11)
334 2018-04 from 11 to 20 L1_PCP_1811 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-04-11,2018-04-21)
335 2018-04 from 21 to 30 L1_PCP_1812 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-04-21,2018-05-01)
336 2018-05 from 01 to 10 L1_PCP_1813 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-05-01,2018-05-11)
337 2018-05 from 11 to 20 L1_PCP_1814 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-05-11,2018-05-21)
338 2018-05 from 21 to 31 L1_PCP_1815 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-05-21,2018-06-01)
339 2018-06 from 01 to 10 L1_PCP_1816 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-06-01,2018-06-11)
340 2018-06 from 11 to 20 L1_PCP_1817 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-06-11,2018-06-21)
341 2018-06 from 21 to 30 L1_PCP_1818 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-06-21,2018-07-01)
342 2018-07 from 01 to 10 L1_PCP_1819 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-07-01,2018-07-11)
343 2018-07 from 11 to 20 L1_PCP_1820 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-07-11,2018-07-21)
344 2018-07 from 21 to 31 L1_PCP_1821 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-07-21,2018-08-01)
345 2018-08 from 01 to 10 L1_PCP_1822 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-08-01,2018-08-11)
346 2018-08 from 11 to 20 L1_PCP_1823 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-08-11,2018-08-21)
347 2018-08 from 21 to 31 L1_PCP_1824 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-08-21,2018-09-01)
348 2018-09 from 01 to 10 L1_PCP_1825 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-09-01,2018-09-11)
349 2018-09 from 11 to 20 L1_PCP_1826 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-09-11,2018-09-21)
350 2018-09 from 21 to 30 L1_PCP_1827 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-09-21,2018-10-01)
351 2018-10 from 01 to 10 L1_PCP_1828 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-10-01,2018-10-11)
352 2018-10 from 11 to 20 L1_PCP_1829 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-10-11,2018-10-21)
353 2018-10 from 21 to 31 L1_PCP_1830 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-10-21,2018-11-01)
354 2018-11 from 01 to 10 L1_PCP_1831 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-11-01,2018-11-11)
355 2018-11 from 11 to 20 L1_PCP_1832 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-11-11,2018-11-21)
356 2018-11 from 21 to 30 L1_PCP_1833 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-11-21,2018-12-01)
357 2018-12 from 01 to 10 L1_PCP_1834 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-12-01,2018-12-11)
358 2018-12 from 11 to 20 L1_PCP_1835 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-12-11,2018-12-21)
359 2018-12 from 21 to 31 L1_PCP_1836 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2018-12-21,2019-01-01)
360 2019-01 from 01 to 10 L1_PCP_1901 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-01-01,2019-01-11)
361 2019-01 from 11 to 20 L1_PCP_1902 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-01-11,2019-01-21)
362 2019-01 from 21 to 31 L1_PCP_1903 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-01-21,2019-02-01)
363 2019-02 from 01 to 10 L1_PCP_1904 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-02-01,2019-02-11)
364 2019-02 from 11 to 20 L1_PCP_1905 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-02-11,2019-02-21)
365 2019-02 from 21 to 28 L1_PCP_1906 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-02-21,2019-03-01)
366 2019-03 from 01 to 10 L1_PCP_1907 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-03-01,2019-03-11)
367 2019-03 from 11 to 20 L1_PCP_1908 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-03-11,2019-03-21)
368 2019-03 from 21 to 31 L1_PCP_1909 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-03-21,2019-04-01)
369 2019-04 from 01 to 10 L1_PCP_1910 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-04-01,2019-04-11)
370 2019-04 from 11 to 20 L1_PCP_1911 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-04-11,2019-04-21)
371 2019-04 from 21 to 30 L1_PCP_1912 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-04-21,2019-05-01)
372 2019-05 from 01 to 10 L1_PCP_1913 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-05-01,2019-05-11)
373 2019-05 from 11 to 20 L1_PCP_1914 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-05-11,2019-05-21)
374 2019-05 from 21 to 31 L1_PCP_1915 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-05-21,2019-06-01)
375 2019-06 from 01 to 10 L1_PCP_1916 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-06-01,2019-06-11)
376 2019-06 from 11 to 20 L1_PCP_1917 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-06-11,2019-06-21)
377 2019-06 from 21 to 30 L1_PCP_1918 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-06-21,2019-07-01)
378 2019-07 from 01 to 10 L1_PCP_1919 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-07-01,2019-07-11)
379 2019-07 from 11 to 20 L1_PCP_1920 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-07-11,2019-07-21)
380 2019-07 from 21 to 31 L1_PCP_1921 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-07-21,2019-08-01)
381 2019-08 from 01 to 10 L1_PCP_1922 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-08-01,2019-08-11)
382 2019-08 from 11 to 20 L1_PCP_1923 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-08-11,2019-08-21)
383 2019-08 from 21 to 31 L1_PCP_1924 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-08-21,2019-09-01)
384 2019-09 from 01 to 10 L1_PCP_1925 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-09-01,2019-09-11)
385 2019-09 from 11 to 20 L1_PCP_1926 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-09-11,2019-09-21)
386 2019-09 from 21 to 30 L1_PCP_1927 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-09-21,2019-10-01)
387 2019-10 from 01 to 10 L1_PCP_1928 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-10-01,2019-10-11)
388 2019-10 from 11 to 20 L1_PCP_1929 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-10-11,2019-10-21)
389 2019-10 from 21 to 31 L1_PCP_1930 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-10-21,2019-11-01)
390 2019-11 from 01 to 10 L1_PCP_1931 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-11-01,2019-11-11)
391 2019-11 from 11 to 20 L1_PCP_1932 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-11-11,2019-11-21)
392 2019-11 from 21 to 30 L1_PCP_1933 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-11-21,2019-12-01)
393 2019-12 from 01 to 10 L1_PCP_1934 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-12-01,2019-12-11)
394 2019-12 from 11 to 20 L1_PCP_1935 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-12-11,2019-12-21)
395 2019-12 from 21 to 31 L1_PCP_1936 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2019-12-21,2020-01-01)
396 2020-01 from 01 to 10 L1_PCP_2001 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-01-01,2020-01-11)
397 2020-01 from 11 to 20 L1_PCP_2002 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-01-11,2020-01-21)
398 2020-01 from 21 to 31 L1_PCP_2003 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-01-21,2020-02-01)
399 2020-02 from 01 to 10 L1_PCP_2004 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-02-01,2020-02-11)
400 2020-02 from 11 to 20 L1_PCP_2005 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-02-11,2020-02-21)
401 2020-02 from 21 to 29 L1_PCP_2006 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-02-21,2020-03-01)
402 2020-03 from 01 to 10 L1_PCP_2007 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-03-01,2020-03-11)
403 2020-03 from 11 to 20 L1_PCP_2008 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-03-11,2020-03-21)
404 2020-03 from 21 to 31 L1_PCP_2009 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-03-21,2020-04-01)
405 2020-04 from 01 to 10 L1_PCP_2010 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-04-01,2020-04-11)
406 2020-04 from 11 to 20 L1_PCP_2011 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-04-11,2020-04-21)
407 2020-04 from 21 to 30 L1_PCP_2012 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-04-21,2020-05-01)
408 2020-05 from 01 to 10 L1_PCP_2013 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-05-01,2020-05-11)
409 2020-05 from 11 to 20 L1_PCP_2014 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-05-11,2020-05-21)
410 2020-05 from 21 to 31 L1_PCP_2015 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-05-21,2020-06-01)
411 2020-06 from 01 to 10 L1_PCP_2016 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-06-01,2020-06-11)
412 2020-06 from 11 to 20 L1_PCP_2017 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-06-11,2020-06-21)
413 2020-06 from 21 to 30 L1_PCP_2018 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-06-21,2020-07-01)
414 2020-07 from 01 to 10 L1_PCP_2019 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-07-01,2020-07-11)
415 2020-07 from 11 to 20 L1_PCP_2020 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-07-11,2020-07-21)
416 2020-07 from 21 to 31 L1_PCP_2021 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-07-21,2020-08-01)
417 2020-08 from 01 to 10 L1_PCP_2022 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-08-01,2020-08-11)
418 2020-08 from 11 to 20 L1_PCP_2023 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-08-11,2020-08-21)
419 2020-08 from 21 to 31 L1_PCP_2024 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-08-21,2020-09-01)
420 2020-09 from 01 to 10 L1_PCP_2025 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-09-01,2020-09-11)
421 2020-09 from 11 to 20 L1_PCP_2026 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-09-11,2020-09-21)
422 2020-09 from 21 to 30 L1_PCP_2027 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-09-21,2020-10-01)
423 2020-10 from 01 to 10 L1_PCP_2028 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-10-01,2020-10-11)
424 2020-10 from 11 to 20 L1_PCP_2029 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-10-11,2020-10-21)
425 2020-10 from 21 to 31 L1_PCP_2030 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-10-21,2020-11-01)
426 2020-11 from 01 to 10 L1_PCP_2031 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-11-01,2020-11-11)
427 2020-11 from 11 to 20 L1_PCP_2032 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-11-11,2020-11-21)
428 2020-11 from 21 to 30 L1_PCP_2033 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-11-21,2020-12-01)
429 2020-12 from 01 to 10 L1_PCP_2034 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-12-01,2020-12-11)
430 2020-12 from 11 to 20 L1_PCP_2035 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-12-11,2020-12-21)
431 2020-12 from 21 to 31 L1_PCP_2036 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2020-12-21,2021-01-01)
432 2021-01 from 01 to 10 L1_PCP_2101 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-01-01,2021-01-11)
433 2021-01 from 11 to 20 L1_PCP_2102 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-01-11,2021-01-21)
434 2021-01 from 21 to 31 L1_PCP_2103 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-01-21,2021-02-01)
435 2021-02 from 01 to 10 L1_PCP_2104 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-02-01,2021-02-11)
436 2021-02 from 11 to 20 L1_PCP_2105 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-02-11,2021-02-21)
437 2021-02 from 21 to 28 L1_PCP_2106 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-02-21,2021-03-01)
438 2021-03 from 01 to 10 L1_PCP_2107 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-03-01,2021-03-11)
439 2021-03 from 11 to 20 L1_PCP_2108 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-03-11,2021-03-21)
440 2021-03 from 21 to 31 L1_PCP_2109 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-03-21,2021-04-01)
441 2021-04 from 01 to 10 L1_PCP_2110 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-04-01,2021-04-11)
442 2021-04 from 11 to 20 L1_PCP_2111 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-04-11,2021-04-21)
443 2021-04 from 21 to 30 L1_PCP_2112 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-04-21,2021-05-01)
444 2021-05 from 01 to 10 L1_PCP_2113 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-05-01,2021-05-11)
445 2021-05 from 11 to 20 L1_PCP_2114 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-05-11,2021-05-21)
446 2021-05 from 21 to 31 L1_PCP_2115 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-05-21,2021-06-01)
447 2021-06 from 01 to 10 L1_PCP_2116 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-06-01,2021-06-11)
448 2021-06 from 11 to 20 L1_PCP_2117 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-06-11,2021-06-21)
449 2021-06 from 21 to 30 L1_PCP_2118 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-06-21,2021-07-01)
450 2021-07 from 01 to 10 L1_PCP_2119 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-07-01,2021-07-11)
451 2021-07 from 11 to 20 L1_PCP_2120 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-07-11,2021-07-21)
452 2021-07 from 21 to 31 L1_PCP_2121 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-07-21,2021-08-01)
453 2021-08 from 01 to 10 L1_PCP_2122 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-08-01,2021-08-11)
454 2021-08 from 11 to 20 L1_PCP_2123 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-08-11,2021-08-21)
455 2021-08 from 21 to 31 L1_PCP_2124 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-08-21,2021-09-01)
456 2021-09 from 01 to 10 L1_PCP_2125 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-09-01,2021-09-11)
457 2021-09 from 11 to 20 L1_PCP_2126 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-09-11,2021-09-21)
458 2021-09 from 21 to 30 L1_PCP_2127 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-09-21,2021-10-01)
459 2021-10 from 01 to 10 L1_PCP_2128 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-10-01,2021-10-11)
460 2021-10 from 11 to 20 L1_PCP_2129 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-10-11,2021-10-21)
461 2021-10 from 21 to 31 L1_PCP_2130 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-10-21,2021-11-01)
462 2021-11 from 01 to 10 L1_PCP_2131 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-11-01,2021-11-11)
463 2021-11 from 11 to 20 L1_PCP_2132 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-11-11,2021-11-21)
464 2021-11 from 21 to 30 L1_PCP_2133 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-11-21,2021-12-01)
465 2021-12 from 01 to 10 L1_PCP_2134 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-12-01,2021-12-11)
466 2021-12 from 11 to 20 L1_PCP_2135 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-12-11,2021-12-21)
467 2021-12 from 21 to 31 L1_PCP_2136 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2021-12-21,2022-01-01)
468 2022-01 from 01 to 10 L1_PCP_2201 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-01-01,2022-01-11)
469 2022-01 from 11 to 20 L1_PCP_2202 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-01-11,2022-01-21)
470 2022-01 from 21 to 31 L1_PCP_2203 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-01-21,2022-02-01)
471 2022-02 from 01 to 10 L1_PCP_2204 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-02-01,2022-02-11)
472 2022-02 from 11 to 20 L1_PCP_2205 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-02-11,2022-02-21)
473 2022-02 from 21 to 28 L1_PCP_2206 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-02-21,2022-03-01)
474 2022-03 from 01 to 10 L1_PCP_2207 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-03-01,2022-03-11)
475 2022-03 from 11 to 20 L1_PCP_2208 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-03-11,2022-03-21)
476 2022-03 from 21 to 31 L1_PCP_2209 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-03-21,2022-04-01)
477 2022-04 from 01 to 10 L1_PCP_2210 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-04-01,2022-04-11)
478 2022-04 from 11 to 20 L1_PCP_2211 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-04-11,2022-04-21)
479 2022-04 from 21 to 30 L1_PCP_2212 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-04-21,2022-05-01)
480 2022-05 from 01 to 10 L1_PCP_2213 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-05-01,2022-05-11)
481 2022-05 from 11 to 20 L1_PCP_2214 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-05-11,2022-05-21)
482 2022-05 from 21 to 31 L1_PCP_2215 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-05-21,2022-06-01)
483 2022-06 from 01 to 10 L1_PCP_2216 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-06-01,2022-06-11)
484 2022-06 from 11 to 20 L1_PCP_2217 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-06-11,2022-06-21)
485 2022-06 from 21 to 30 L1_PCP_2218 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-06-21,2022-07-01)
486 2022-07 from 01 to 10 L1_PCP_2219 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-07-01,2022-07-11)
487 2022-07 from 11 to 20 L1_PCP_2220 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-07-11,2022-07-21)
488 2022-07 from 21 to 31 L1_PCP_2221 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-07-21,2022-08-01)
489 2022-08 from 01 to 10 L1_PCP_2222 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-08-01,2022-08-11)
490 2022-08 from 11 to 20 L1_PCP_2223 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-08-11,2022-08-21)
491 2022-08 from 21 to 31 L1_PCP_2224 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-08-21,2022-09-01)
492 2022-09 from 01 to 10 L1_PCP_2225 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-09-01,2022-09-11)
493 2022-09 from 11 to 20 L1_PCP_2226 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-09-11,2022-09-21)
494 2022-09 from 21 to 30 L1_PCP_2227 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-09-21,2022-10-01)
495 2022-10 from 01 to 10 L1_PCP_2228 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-10-01,2022-10-11)
496 2022-10 from 11 to 20 L1_PCP_2229 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-10-11,2022-10-21)
497 2022-10 from 21 to 31 L1_PCP_2230 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-10-21,2022-11-01)
498 2022-11 from 01 to 10 L1_PCP_2231 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-11-01,2022-11-11)
499 2022-11 from 11 to 20 L1_PCP_2232 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-11-11,2022-11-21)
500 2022-11 from 21 to 30 L1_PCP_2233 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-11-21,2022-12-01)
501 2022-12 from 01 to 10 L1_PCP_2234 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-12-01,2022-12-11)
502 2022-12 from 11 to 20 L1_PCP_2235 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-12-11,2022-12-21)
503 2022-12 from 21 to 31 L1_PCP_2236 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2022-12-21,2023-01-01)
504 2023-01 from 01 to 10 L1_PCP_2301 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-01-01,2023-01-11)
505 2023-01 from 11 to 20 L1_PCP_2302 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-01-11,2023-01-21)
506 2023-01 from 21 to 31 L1_PCP_2303 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-01-21,2023-02-01)
507 2023-02 from 01 to 10 L1_PCP_2304 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-02-01,2023-02-11)
508 2023-02 from 11 to 20 L1_PCP_2305 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-02-11,2023-02-21)
509 2023-02 from 21 to 28 L1_PCP_2306 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-02-21,2023-03-01)
510 2023-03 from 01 to 10 L1_PCP_2307 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-03-01,2023-03-11)
511 2023-03 from 11 to 20 L1_PCP_2308 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-03-11,2023-03-21)
512 2023-03 from 21 to 31 L1_PCP_2309 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-03-21,2023-04-01)
513 2023-04 from 01 to 10 L1_PCP_2310 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-04-01,2023-04-11)
514 2023-04 from 11 to 20 L1_PCP_2311 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-04-11,2023-04-21)
515 2023-04 from 21 to 30 L1_PCP_2312 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-04-21,2023-05-01)
516 2023-05 from 01 to 10 L1_PCP_2313 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-05-01,2023-05-11)
517 2023-05 from 11 to 20 L1_PCP_2314 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-05-11,2023-05-21)
518 2023-05 from 21 to 31 L1_PCP_2315 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-05-21,2023-06-01)
519 2023-06 from 01 to 10 L1_PCP_2316 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-06-01,2023-06-11)
520 2023-06 from 11 to 20 L1_PCP_2317 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-06-11,2023-06-21)
521 2023-06 from 21 to 30 L1_PCP_2318 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-06-21,2023-07-01)
522 2023-07 from 01 to 10 L1_PCP_2319 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-07-01,2023-07-11)
523 2023-07 from 21 to 31 L1_PCP_2321 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-07-21,2023-08-01)
524 2023-08 from 01 to 10 L1_PCP_2322 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-08-01,2023-08-11)
525 2023-08 from 11 to 20 L1_PCP_2323 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-08-11,2023-08-21)
526 2023-08 from 21 to 31 L1_PCP_2324 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-08-21,2023-09-01)
527 2023-09 from 01 to 10 L1_PCP_2325 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-09-01,2023-09-11)
528 2023-09 from 21 to 30 L1_PCP_2327 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-09-21,2023-10-01)
529 2023-10 from 01 to 10 L1_PCP_2328 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-10-01,2023-10-11)
530 2023-10 from 21 to 31 L1_PCP_2330 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-10-21,2023-11-01)
531 2023-11 from 01 to 10 L1_PCP_2331 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-11-01,2023-11-11)
532 2023-11 from 11 to 20 L1_PCP_2332 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-11-11,2023-11-21)
533 2023-11 from 21 to 30 L1_PCP_2333 [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] [2023-11-21,2023-12-01)

Step 0d: Process and download WaPOR data for the study area extent¶

Get download url of a raster¶

To get download url, WaPOR API Token is needed

In [7]:
APIToken=input('Enter your API Token: ')
WaPOR.API.Token=APIToken

* Get download url of a cropped raster¶

To request a cropped raster, raster_id and time_code of the raster is needed

In [8]:
work_dir = os.getcwd()+'/WaPOR_Data/PCP'

print("current dir is: %s" % (os.getcwd()))
print("current working directory is:",work_dir) 

if os.path.isdir(work_dir):
    print("Folder exists")
else:
    print("Folder doesn't exists")
    os.makedirs(work_dir, exist_ok=True)
current dir is: /home/eoafrica/surface_flood
current working directory is: /home/eoafrica/surface_flood/WaPOR_Data/PCP
Folder exists
In [9]:
cd_folder = os.getcwd() #check current directory folder
print(cd_folder)
/home/eoafrica/surface_flood
In [10]:
shp_fh=(cd_folder)+'/Modules/Data/1Boundary/Shapefile/buzi.shp' #path to, and the shapefile of study area
shape=shapefile.Reader(shp_fh) #read shapefile
xmin,ymin,xmax,ymax=shape.bbox #read shapefile extent
print('Extent of study area: lonlim = [{0},{2}], latlim = [{1},{3}]'.format(xmin,ymin,xmax,ymax))
Extent of study area: lonlim = [32.378813340928836,34.758333333333354], latlim = [-20.941666666666638,-18.699999999999974]
In [11]:
#plot to check shapefile
plt.figure()
sf=shape
for shape in sf.shapeRecords(): #loop over all features in shapefile
    for i in range(len(shape.shape.parts)): #loop over all points in feature
        i_start = shape.shape.parts[i]
        if i==len(shape.shape.parts)-1:
            i_end = len(shape.shape.points)
        else:
            i_end = shape.shape.parts[i+1]
        x = [i[0] for i in shape.shape.points[i_start:i_end]]
        y = [i[1] for i in shape.shape.points[i_start:i_end]]
        plt.plot(x,y)
plt.show()

Create download link for a selected dekadal rainfall map for area specified

In [12]:
bbox= [xmin,ymin,xmax,ymax]
rasterId='L1_PCP_2236'
dimension_value='[2022-12-21,2023-01-01)'

WaPOR.API.getCropRasterURL(bbox,cube_code,dimension_value,rasterId,APIToken)
Out[12]:
'https://io.apps.fao.org/gismgr/download/b4e381a6-062d-4711-bac2-7d6cb82a363a/L1_PCP_2236.tif'

* Get Area time-series¶

A shapefile can be used to define the Region of Interest

In [13]:
ts_area=WaPOR.API.getAreaTimeseries(shp_fh,'L1_PCP_D',APIToken, time_range='2009-01-01,2022-12-31')

pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)

display (ts_area)
Getting result from: https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/jobs/0b243c2c-09e4-46cc-ac2c-107818a21857
dekad avg min max range
0 2009-01-10 13.895838 4.1 25.3 21.2
1 2009-01-20 8.513909 2.7 13.3 10.6
2 2009-01-31 1.937766 0.0 4.4 4.4
3 2009-02-10 1.019898 0.0 5.7 5.7
4 2009-02-20 4.058274 0.0 7.9 7.9
5 2009-02-28 16.224873 6.9 25.3 18.4
6 2009-03-10 3.571066 0.0 10.2 10.2
7 2009-03-20 7.199492 0.0 15.6 15.6
8 2009-03-31 7.267005 0.0 14.9 14.9
9 2009-04-10 2.495533 0.5 5.2 4.7
10 2009-04-20 1.531878 0.3 3.2 2.9
11 2009-04-30 2.031675 0.9 3.6 2.7
12 2009-05-10 2.020609 0.0 5.3 5.3
13 2009-05-20 0.089137 0.0 1.4 1.4
14 2009-05-31 0.073096 0.0 2.6 2.6
15 2009-06-10 1.540609 0.0 3.6 3.6
16 2009-06-20 0.558071 0.0 2.6 2.6
17 2009-06-30 0.369239 0.0 2.2 2.2
18 2009-07-10 1.224975 0.0 3.2 3.2
19 2009-07-20 0.834822 0.0 1.7 1.7
20 2009-07-31 0.786193 0.0 2.5 2.5
21 2009-08-10 0.113807 0.0 1.0 1.0
22 2009-08-20 0.615939 0.0 2.6 2.6
23 2009-08-31 0.640000 0.0 1.8 1.8
24 2009-09-10 0.021421 0.0 0.8 0.8
25 2009-09-20 0.559898 0.0 2.5 2.5
26 2009-09-30 3.174010 1.0 5.6 4.6
27 2009-10-10 0.474112 0.0 3.5 3.5
28 2009-10-20 0.237157 0.0 1.6 1.6
29 2009-10-31 1.373909 0.0 4.5 4.5
30 2009-11-10 2.031574 0.0 5.9 5.9
31 2009-11-20 9.900305 5.4 16.7 11.3
32 2009-11-30 1.585584 0.0 8.3 8.3
33 2009-12-10 9.956751 3.7 19.2 15.5
34 2009-12-20 6.939492 2.4 19.9 17.5
35 2009-12-31 0.786294 0.0 3.7 3.7
36 2010-01-10 0.481218 0.0 1.5 1.5
37 2010-01-20 0.417868 0.0 1.6 1.6
38 2010-01-31 6.562335 1.8 10.9 9.1
39 2010-02-10 1.264670 0.0 3.0 3.0
40 2010-02-20 8.777970 3.7 15.9 12.2
41 2010-02-28 11.721624 1.9 24.2 22.3
42 2010-03-10 4.571980 0.0 11.1 11.1
43 2010-03-20 1.865888 0.0 9.0 9.0
44 2010-03-31 0.411371 0.0 4.6 4.6
45 2010-04-10 6.230457 0.0 14.0 14.0
46 2010-04-20 3.324670 0.0 17.7 17.7
47 2010-04-30 0.055127 0.0 2.4 2.4
48 2010-05-10 0.888020 0.0 5.4 5.4
49 2010-05-20 0.439289 0.0 3.2 3.2
50 2010-05-31 1.311066 0.0 4.4 4.4
51 2010-06-10 0.135431 0.0 1.4 1.4
52 2010-06-20 0.614010 0.0 1.6 1.6
53 2010-06-30 0.831878 0.0 2.3 2.3
54 2010-07-10 0.493807 0.0 1.3 1.3
55 2010-07-20 0.150558 0.0 1.1 1.1
56 2010-07-31 1.160914 0.0 3.0 3.0
57 2010-08-10 0.514518 0.0 1.8 1.8
58 2010-08-20 0.245178 0.0 1.4 1.4
59 2010-08-31 0.336751 0.0 1.1 1.1
60 2010-09-10 0.355838 0.0 1.2 1.2
61 2010-09-20 0.703655 0.0 1.3 1.3
62 2010-09-30 0.766599 0.0 1.6 1.6
63 2010-10-10 0.004264 0.0 0.5 0.5
64 2010-10-20 0.544569 0.0 2.3 2.3
65 2010-10-31 0.773096 0.0 2.7 2.7
66 2010-11-10 3.737360 0.0 9.1 9.1
67 2010-11-20 1.103858 0.0 3.9 3.9
68 2010-11-30 3.381624 0.0 7.6 7.6
69 2010-12-10 11.018883 4.7 26.2 21.5
70 2010-12-20 9.257868 0.5 21.9 21.4
71 2010-12-31 4.070863 1.3 9.8 8.5
72 2011-01-10 11.631980 6.0 20.2 14.2
73 2011-01-20 24.634822 10.9 37.9 27.0
74 2011-01-31 16.095127 2.5 27.0 24.5
75 2011-02-10 2.069949 0.0 4.2 4.2
76 2011-02-20 0.887107 0.0 2.6 2.6
77 2011-02-28 1.617462 0.0 7.2 7.2
78 2011-03-10 0.480406 0.0 10.6 10.6
79 2011-03-20 4.120000 0.0 9.6 9.6
80 2011-03-31 1.570964 0.0 7.7 7.7
81 2011-04-10 1.028934 0.0 18.7 18.7
82 2011-04-20 0.073401 0.0 0.8 0.8
83 2011-04-30 3.743147 0.0 7.8 7.8
84 2011-05-10 0.301827 0.0 1.7 1.7
85 2011-05-20 0.702843 0.0 2.9 2.9
86 2011-05-31 0.159391 0.0 1.5 1.5
87 2011-06-10 0.710761 0.0 1.6 1.6
88 2011-06-20 0.445076 0.0 1.7 1.7
89 2011-06-30 0.232995 0.0 1.4 1.4
90 2011-07-10 0.748020 0.0 2.0 2.0
91 2011-07-20 1.208426 0.0 2.6 2.6
92 2011-07-31 0.078985 0.0 1.3 1.3
93 2011-08-10 0.030558 0.0 1.1 1.1
94 2011-08-20 0.803553 0.0 2.4 2.4
95 2011-08-31 0.425990 0.0 1.1 1.1
96 2011-09-10 0.000000 0.0 0.0 0.0
97 2011-09-20 0.557360 0.0 2.2 2.2
98 2011-09-30 0.838680 0.0 2.4 2.4
99 2011-10-10 2.056041 0.0 4.9 4.9
100 2011-10-20 1.010152 0.0 2.7 2.7
101 2011-10-31 0.883959 0.0 3.8 3.8
102 2011-11-10 0.963147 0.0 5.9 5.9
103 2011-11-20 1.270761 0.0 3.7 3.7
104 2011-11-30 7.208629 3.8 14.2 10.4
105 2011-12-10 2.654924 0.8 8.5 7.7
106 2011-12-20 11.804467 7.0 26.4 19.4
107 2011-12-31 5.518071 1.6 14.0 12.4
108 2012-01-10 0.021523 0.0 1.4 1.4
109 2012-01-20 8.333198 3.1 18.4 15.3
110 2012-01-31 1.905990 0.0 11.5 11.5
111 2012-02-10 1.575127 0.0 5.4 5.4
112 2012-02-20 8.719898 2.5 16.1 13.6
113 2012-02-29 0.982335 0.0 2.8 2.8
114 2012-03-10 3.401421 1.2 6.4 5.2
115 2012-03-20 3.015127 0.6 7.2 6.6
116 2012-03-31 4.726294 0.0 8.6 8.6
117 2012-04-10 3.153706 0.8 9.4 8.6
118 2012-04-20 1.198274 0.0 3.2 3.2
119 2012-04-30 0.707208 0.0 2.6 2.6
120 2012-05-10 0.070660 0.0 0.7 0.7
121 2012-05-20 0.049848 0.0 0.6 0.6
122 2012-05-31 0.870964 0.0 1.7 1.7
123 2012-06-10 0.375330 0.0 1.5 1.5
124 2012-06-20 0.420102 0.0 1.5 1.5
125 2012-06-30 0.394112 0.0 1.2 1.2
126 2012-07-10 0.201929 0.0 1.1 1.1
127 2012-07-20 0.265888 0.0 1.3 1.3
128 2012-07-31 0.823452 0.0 1.8 1.8
129 2012-08-10 0.487716 0.0 2.4 2.4
130 2012-08-20 0.280203 0.0 1.5 1.5
131 2012-08-31 0.432183 0.0 1.2 1.2
132 2012-09-10 0.228731 0.0 1.1 1.1
133 2012-09-20 1.080406 0.0 2.8 2.8
134 2012-09-30 0.913096 0.0 4.0 4.0
135 2012-10-10 0.000000 0.0 0.0 0.0
136 2012-10-20 1.944162 0.0 7.1 7.1
137 2012-10-31 2.525584 0.0 4.5 4.5
138 2012-11-10 0.300609 0.0 2.3 2.3
139 2012-11-20 0.102741 0.0 1.1 1.1
140 2012-11-30 2.170051 1.3 4.2 2.9
141 2012-12-10 7.048122 0.0 15.9 15.9
142 2012-12-20 1.250457 0.0 3.4 3.4
143 2012-12-31 5.734518 0.0 13.4 13.4
144 2013-01-10 15.799898 6.6 22.8 16.2
145 2013-01-20 20.035939 7.2 29.3 22.1
146 2013-01-31 3.268325 1.0 7.4 6.4
147 2013-02-10 3.107716 0.0 12.6 12.6
148 2013-02-20 7.422335 1.2 21.3 20.1
149 2013-02-28 0.012995 0.0 2.2 2.2
150 2013-03-10 6.940000 2.2 13.4 11.2
151 2013-03-20 0.724365 0.0 4.8 4.8
152 2013-03-31 0.021218 0.0 1.9 1.9
153 2013-04-10 0.237868 0.0 2.1 2.1
154 2013-04-20 0.394619 0.0 5.8 5.8
155 2013-04-30 4.498680 0.0 9.6 9.6
156 2013-05-10 0.243350 0.0 1.4 1.4
157 2013-05-20 1.603858 0.0 5.0 5.0
158 2013-05-31 0.715939 0.0 2.0 2.0
159 2013-06-10 0.196244 0.0 1.7 1.7
160 2013-06-20 0.735127 0.0 2.8 2.8
161 2013-06-30 0.648122 0.0 4.3 4.3
162 2013-07-10 0.659898 0.0 2.8 2.8
163 2013-07-20 0.733401 0.0 3.0 3.0
164 2013-07-31 1.106701 0.0 3.2 3.2
165 2013-08-10 0.383350 0.0 1.0 1.0
166 2013-08-20 0.575635 0.0 2.3 2.3
167 2013-08-31 0.503655 0.0 1.8 1.8
168 2013-09-10 0.262843 0.0 1.0 1.0
169 2013-09-20 0.165787 0.0 1.1 1.1
170 2013-09-30 2.017868 0.6 5.7 5.1
171 2013-10-10 0.149442 0.0 2.8 2.8
172 2013-10-20 0.031574 0.0 1.1 1.1
173 2013-10-31 4.370660 1.8 9.1 7.3
174 2013-11-10 3.099188 1.8 5.7 3.9
175 2013-11-20 2.329645 1.3 3.7 2.4
176 2013-11-30 2.860609 1.3 6.2 4.9
177 2013-12-10 0.142640 0.0 1.3 1.3
178 2013-12-20 11.049746 1.1 22.7 21.6
179 2013-12-31 8.407208 4.9 14.1 9.2
180 2014-01-10 9.349036 1.9 19.6 17.7
181 2014-01-20 1.001015 0.0 3.4 3.4
182 2014-01-31 20.372487 5.1 30.5 25.4
183 2014-02-10 9.115635 0.0 25.3 25.3
184 2014-02-20 2.657563 0.0 26.1 26.1
185 2014-02-28 2.084569 0.0 7.7 7.7
186 2014-03-10 10.348629 3.6 31.5 27.9
187 2014-03-20 3.036954 0.0 10.4 10.4
188 2014-03-31 0.644975 0.0 3.9 3.9
189 2014-04-10 0.200305 0.0 3.8 3.8
190 2014-04-20 0.006497 0.0 1.7 1.7
191 2014-04-30 8.236244 0.0 24.5 24.5
192 2014-05-10 0.790863 0.0 2.4 2.4
193 2014-05-20 0.431371 0.0 2.4 2.4
194 2014-05-31 0.905888 0.0 2.3 2.3
195 2014-06-10 0.795736 0.0 2.6 2.6
196 2014-06-20 0.919086 0.0 3.9 3.9
197 2014-06-30 0.473503 0.0 4.0 4.0
198 2014-07-10 0.177157 0.0 1.7 1.7
199 2014-07-20 1.186802 0.0 2.3 2.3
200 2014-07-31 0.692386 0.0 2.4 2.4
201 2014-08-10 0.308122 0.0 1.6 1.6
202 2014-08-20 0.138071 0.0 1.4 1.4
203 2014-08-31 0.776244 0.0 1.7 1.7
204 2014-09-10 0.542030 0.0 0.9 0.9
205 2014-09-20 0.489239 0.0 1.5 1.5
206 2014-09-30 0.352386 0.0 1.4 1.4
207 2014-10-10 0.291168 0.0 2.5 2.5
208 2014-10-20 0.959188 0.0 3.7 3.7
209 2014-10-31 0.089036 0.0 0.5 0.5
210 2014-11-10 1.774416 0.0 4.6 4.6
211 2014-11-20 4.446802 0.0 7.9 7.9
212 2014-11-30 0.049239 0.0 0.9 0.9
213 2014-12-10 2.256954 0.0 5.2 5.2
214 2014-12-20 13.918274 6.7 31.2 24.5
215 2014-12-31 14.557360 6.0 28.7 22.7
216 2015-01-10 0.414112 0.0 5.0 5.0
217 2015-01-20 1.904264 0.0 6.8 6.8
218 2015-01-31 6.728325 0.0 12.2 12.2
219 2015-02-10 5.589543 1.4 13.1 11.7
220 2015-02-20 6.445482 0.8 13.3 12.5
221 2015-02-28 1.042234 0.0 6.0 6.0
222 2015-03-10 1.056650 0.0 6.4 6.4
223 2015-03-20 0.089645 0.0 2.2 2.2
224 2015-03-31 8.189543 0.7 15.4 14.7
225 2015-04-10 4.287716 0.0 14.3 14.3
226 2015-04-20 2.853909 0.0 13.9 13.9
227 2015-04-30 0.012487 0.0 2.5 2.5
228 2015-05-10 0.127919 0.0 0.6 0.6
229 2015-05-20 0.622234 0.0 1.9 1.9
230 2015-05-31 0.550152 0.0 2.1 2.1
231 2015-06-10 0.333807 0.0 1.6 1.6
232 2015-06-20 0.310355 0.0 2.3 2.3
233 2015-06-30 0.608122 0.0 2.1 2.1
234 2015-07-10 0.135533 0.0 1.5 1.5
235 2015-07-20 0.624467 0.0 1.9 1.9
236 2015-07-31 0.847208 0.0 2.2 2.2
237 2015-08-10 0.211980 0.0 1.6 1.6
238 2015-08-20 0.567411 0.0 2.1 2.1
239 2015-08-31 0.343655 0.0 1.2 1.2
240 2015-09-10 0.990051 0.0 2.1 2.1
241 2015-09-20 0.346193 0.0 1.1 1.1
242 2015-09-30 1.383046 0.0 4.3 4.3
243 2015-10-10 0.107208 0.0 1.2 1.2
244 2015-10-20 1.007513 0.0 2.9 2.9
245 2015-10-31 0.072386 0.0 1.1 1.1
246 2015-11-10 0.040914 0.0 1.0 1.0
247 2015-11-20 2.133807 0.6 4.1 3.5
248 2015-11-30 2.805279 1.1 6.0 4.9
249 2015-12-10 0.025990 0.0 0.7 0.7
250 2015-12-20 8.960000 4.6 18.9 14.3
251 2015-12-31 2.298376 0.0 6.4 6.4
252 2016-01-10 0.925482 0.0 3.0 3.0
253 2016-01-20 0.757259 0.0 3.2 3.2
254 2016-01-31 11.521523 3.1 21.4 18.3
255 2016-02-10 0.033503 0.0 2.3 2.3
256 2016-02-20 0.075431 0.0 4.7 4.7
257 2016-02-29 7.002741 0.0 15.1 15.1
258 2016-03-10 5.059289 2.5 11.7 9.2
259 2016-03-20 7.216345 2.8 12.8 10.0
260 2016-03-31 5.835025 2.1 14.7 12.6
261 2016-04-10 9.198376 1.7 18.7 17.0
262 2016-04-20 0.041015 0.0 3.0 3.0
263 2016-04-30 0.058782 0.0 4.2 4.2
264 2016-05-10 0.478173 0.0 1.7 1.7
265 2016-05-20 0.429543 0.0 1.7 1.7
266 2016-05-31 0.770558 0.0 1.9 1.9
267 2016-06-10 0.468731 0.0 1.9 1.9
268 2016-06-20 0.738883 0.0 3.4 3.4
269 2016-06-30 0.612792 0.0 3.4 3.4
270 2016-07-10 0.065076 0.0 1.1 1.1
271 2016-07-20 0.402234 0.0 2.0 2.0
272 2016-07-31 1.197766 0.0 2.7 2.7
273 2016-08-10 0.486701 0.0 1.3 1.3
274 2016-08-20 0.332690 0.0 2.0 2.0
275 2016-08-31 0.433604 0.0 1.6 1.6
276 2016-09-10 0.435228 0.0 1.3 1.3
277 2016-09-20 0.127005 0.0 1.5 1.5
278 2016-09-30 0.656447 0.0 1.7 1.7
279 2016-10-10 1.339898 0.0 4.8 4.8
280 2016-10-20 0.000406 0.0 0.2 0.2
281 2016-10-31 1.031777 0.0 4.1 4.1
282 2016-11-10 2.033096 0.0 6.2 6.2
283 2016-11-20 8.740812 2.8 15.6 12.8
284 2016-11-30 0.536345 0.0 3.2 3.2
285 2016-12-10 3.029036 1.0 9.5 8.5
286 2016-12-20 15.669137 7.8 31.4 23.6
287 2016-12-31 14.904162 4.1 35.4 31.3
288 2017-01-10 16.000406 3.7 29.0 25.3
289 2017-01-20 24.100812 10.4 34.3 23.9
290 2017-01-31 11.750457 4.6 22.7 18.1
291 2017-02-10 7.437462 0.0 24.4 24.4
292 2017-02-20 12.731066 5.5 24.6 19.1
293 2017-02-28 11.447817 3.7 24.9 21.2
294 2017-03-10 11.034721 2.3 33.3 31.0
295 2017-03-20 4.377462 0.0 17.5 17.5
296 2017-03-31 2.567411 0.0 10.0 10.0
297 2017-04-10 0.186802 0.0 4.3 4.3
298 2017-04-20 1.830660 0.0 4.2 4.2
299 2017-04-30 2.293096 0.0 7.5 7.5
300 2017-05-10 0.489949 0.0 2.0 2.0
301 2017-05-20 0.944772 0.0 7.6 7.6
302 2017-05-31 1.265178 0.0 2.4 2.4
303 2017-06-10 0.832284 0.0 2.7 2.7
304 2017-06-20 0.700812 0.0 3.4 3.4
305 2017-06-30 0.680711 0.0 4.0 4.0
306 2017-07-10 0.856041 0.0 2.1 2.1
307 2017-07-20 1.210355 0.0 3.2 3.2
308 2017-07-31 1.165990 0.0 3.7 3.7
309 2017-08-10 0.725990 0.0 2.0 2.0
310 2017-08-20 0.554416 0.0 3.1 3.1
311 2017-08-31 0.371980 0.0 1.4 1.4
312 2017-09-10 0.729645 0.0 1.8 1.8
313 2017-09-20 0.350761 0.0 0.9 0.9
314 2017-09-30 0.403452 0.0 3.6 3.6
315 2017-10-10 1.166193 0.0 4.2 4.2
316 2017-10-20 0.020000 0.0 1.2 1.2
317 2017-10-31 2.298985 0.0 7.3 7.3
318 2017-11-10 1.115838 0.0 2.9 2.9
319 2017-11-20 8.494112 3.1 14.7 11.6
320 2017-11-30 2.276345 0.4 5.1 4.7
321 2017-12-10 0.128223 0.0 1.3 1.3
322 2017-12-20 3.380508 0.0 8.3 8.3
323 2017-12-31 8.891675 3.7 16.7 13.0
324 2018-01-10 3.353807 0.0 8.0 8.0
325 2018-01-20 0.187005 0.0 2.6 2.6
326 2018-01-31 2.935533 0.0 8.6 8.6
327 2018-02-10 15.054416 5.4 24.8 19.4
328 2018-02-20 14.852284 5.5 25.6 20.1
329 2018-02-28 11.581117 3.4 19.2 15.8
330 2018-03-10 2.014112 0.0 5.7 5.7
331 2018-03-20 0.046091 0.0 4.6 4.6
332 2018-03-31 9.601117 3.7 20.0 16.3
333 2018-04-10 5.427107 0.0 14.9 14.9
334 2018-04-20 0.465482 0.0 3.9 3.9
335 2018-04-30 0.267919 0.0 2.4 2.4
336 2018-05-10 0.782132 0.0 3.5 3.5
337 2018-05-20 0.199391 0.0 2.7 2.7
338 2018-05-31 0.710254 0.0 1.9 1.9
339 2018-06-10 0.708325 0.0 1.8 1.8
340 2018-06-20 0.151878 0.0 2.5 2.5
341 2018-06-30 0.495228 0.0 2.7 2.7
342 2018-07-10 1.148528 0.0 4.4 4.4
343 2018-07-20 1.073909 0.0 4.1 4.1
344 2018-07-31 2.137462 0.0 4.8 4.8
345 2018-08-10 0.443452 0.0 2.1 2.1
346 2018-08-20 0.447107 0.0 2.8 2.8
347 2018-08-31 0.849239 0.0 2.6 2.6
348 2018-09-10 0.444670 0.0 1.7 1.7
349 2018-09-20 0.414416 0.0 1.6 1.6
350 2018-09-30 0.863046 0.0 4.5 4.5
351 2018-10-10 0.054822 0.0 1.3 1.3
352 2018-10-20 0.565584 0.0 3.2 3.2
353 2018-10-31 0.769949 0.0 2.9 2.9
354 2018-11-10 0.134213 0.0 1.5 1.5
355 2018-11-20 0.031269 0.0 1.0 1.0
356 2018-11-30 9.020508 4.1 18.9 14.8
357 2018-12-10 7.794010 4.4 16.6 12.2
358 2018-12-20 0.406294 0.0 2.4 2.4
359 2018-12-31 2.808020 0.9 4.9 4.0
360 2019-01-10 9.425279 0.0 17.8 17.8
361 2019-01-20 11.136041 2.7 16.5 13.8
362 2019-01-31 4.909543 0.7 9.0 8.3
363 2019-02-10 0.753604 0.0 2.7 2.7
364 2019-02-20 13.262030 7.6 24.6 17.0
365 2019-02-28 0.095838 0.0 0.9 0.9
366 2019-03-10 0.602538 0.0 5.6 5.6
367 2019-03-20 10.715330 2.8 21.7 18.9
368 2019-03-31 0.388122 0.0 3.4 3.4
369 2019-04-10 0.056345 0.0 1.7 1.7
370 2019-04-20 3.069137 0.7 8.7 8.0
371 2019-04-30 0.573198 0.0 2.1 2.1
372 2019-05-10 0.000000 0.0 0.0 0.0
373 2019-05-20 0.010761 0.0 0.5 0.5
374 2019-05-31 0.492792 0.0 2.1 2.1
375 2019-06-10 0.326396 0.0 2.2 2.2
376 2019-06-20 0.478579 0.0 3.1 3.1
377 2019-06-30 1.041015 0.0 3.4 3.4
378 2019-07-10 0.218071 0.0 1.3 1.3
379 2019-07-20 0.439289 0.0 1.8 1.8
380 2019-07-31 0.898274 0.0 2.0 2.0
381 2019-08-10 0.510964 0.0 1.8 1.8
382 2019-08-20 0.776548 0.0 3.3 3.3
383 2019-08-31 0.354924 0.0 1.6 1.6
384 2019-09-10 1.063147 0.0 2.3 2.3
385 2019-09-20 0.925178 0.4 1.9 1.5
386 2019-09-30 0.801827 0.0 2.1 2.1
387 2019-10-10 2.566497 0.5 6.8 6.3
388 2019-10-20 0.009442 0.0 0.6 0.6
389 2019-10-31 0.162538 0.0 1.5 1.5
390 2019-11-10 0.046802 0.0 0.8 0.8
391 2019-11-20 5.703553 3.3 11.7 8.4
392 2019-11-30 2.597665 0.0 5.0 5.0
393 2019-12-10 5.227614 0.0 11.7 11.7
394 2019-12-20 3.503756 0.0 13.2 13.2
395 2019-12-31 1.212589 0.0 3.2 3.2
396 2020-01-10 2.011066 0.0 6.9 6.9
397 2020-01-20 27.017665 8.2 44.1 35.9
398 2020-01-31 0.823959 0.0 5.1 5.1
399 2020-02-10 12.885787 4.8 22.8 18.0
400 2020-02-20 8.748528 0.0 14.0 14.0
401 2020-02-29 2.231574 0.0 4.1 4.1
402 2020-03-10 0.549340 0.0 5.6 5.6
403 2020-03-20 0.125990 0.0 1.9 1.9
404 2020-03-31 3.771168 0.0 7.7 7.7
405 2020-04-10 4.257259 0.0 11.9 11.9
406 2020-04-20 0.611980 0.0 3.6 3.6
407 2020-04-30 0.046091 0.0 1.4 1.4
408 2020-05-10 0.092183 0.0 0.6 0.6
409 2020-05-20 0.584772 0.0 1.5 1.5
410 2020-05-31 0.194619 0.0 1.7 1.7
411 2020-06-10 1.187107 0.2 4.4 4.2
412 2020-06-20 1.968832 0.2 10.1 9.9
413 2020-06-30 0.000000 0.0 0.0 0.0
414 2020-07-10 0.528528 0.0 1.8 1.8
415 2020-07-20 0.736548 0.0 2.3 2.3
416 2020-07-31 0.704264 0.0 2.2 2.2
417 2020-08-10 0.257970 0.0 1.6 1.6
418 2020-08-20 0.458579 0.0 2.3 2.3
419 2020-08-31 0.461320 0.0 1.7 1.7
420 2020-09-10 0.783553 0.0 1.5 1.5
421 2020-09-20 0.994619 0.0 2.2 2.2
422 2020-09-30 0.932183 0.4 4.8 4.4
423 2020-10-10 1.636447 0.0 6.7 6.7
424 2020-10-20 2.003655 0.0 11.9 11.9
425 2020-10-31 0.676244 0.0 4.4 4.4
426 2020-11-10 4.060711 1.9 8.1 6.2
427 2020-11-20 0.065178 0.0 1.4 1.4
428 2020-11-30 5.385888 2.6 12.8 10.2
429 2020-12-10 9.182132 0.0 31.4 31.4
430 2020-12-20 12.465076 5.8 27.9 22.1
431 2020-12-31 8.382944 4.7 18.0 13.3
432 2021-01-10 9.639188 0.0 21.3 21.3
433 2021-01-20 26.539695 7.1 44.0 36.9
434 2021-01-31 11.566802 5.3 24.2 18.9
435 2021-02-10 5.973909 1.5 12.4 10.9
436 2021-02-20 15.535533 6.5 29.7 23.2
437 2021-02-28 4.109442 0.0 9.3 9.3
438 2021-03-10 0.674924 0.0 6.9 6.9
439 2021-03-20 0.197056 0.0 2.9 2.9
440 2021-03-31 2.897360 0.0 10.1 10.1
441 2021-04-10 0.069543 0.0 1.2 1.2
442 2021-04-20 0.250863 0.0 2.9 2.9
443 2021-04-30 1.514721 0.0 4.9 4.9
444 2021-05-10 0.685279 0.0 1.8 1.8
445 2021-05-20 0.753503 0.0 2.5 2.5
446 2021-05-31 1.277766 0.0 3.6 3.6
447 2021-06-10 2.172386 0.0 9.7 9.7
448 2021-06-20 1.151980 0.0 7.5 7.5
449 2021-06-30 1.534416 0.0 7.6 7.6
450 2021-07-10 1.284365 0.0 2.8 2.8
451 2021-07-20 0.675736 0.0 3.1 3.1
452 2021-07-31 0.903959 0.0 3.2 3.2
453 2021-08-10 0.933503 0.0 3.2 3.2
454 2021-08-20 0.529746 0.0 3.9 3.9
455 2021-08-31 0.982843 0.0 3.2 3.2
456 2021-09-10 0.237462 0.0 1.5 1.5
457 2021-09-20 0.529340 0.0 1.2 1.2
458 2021-09-30 0.769645 0.0 3.7 3.7
459 2021-10-10 0.724569 0.0 2.6 2.6
460 2021-10-20 1.384772 0.0 6.6 6.6
461 2021-10-31 1.096751 0.0 7.7 7.7
462 2021-11-10 0.077056 0.0 0.9 0.9
463 2021-11-20 1.334518 0.0 3.6 3.6
464 2021-11-30 2.166904 0.9 4.5 3.6
465 2021-12-10 0.297665 0.0 1.3 1.3
466 2021-12-20 3.993503 2.1 7.7 5.6
467 2021-12-31 5.607208 2.9 12.3 9.4
468 2022-01-10 4.442437 0.0 10.1 10.1
469 2022-01-20 4.028223 0.0 8.8 8.8
470 2022-01-31 16.010863 4.0 32.2 28.2
471 2022-02-10 4.080203 0.5 9.4 8.9
472 2022-02-20 0.411980 0.0 2.7 2.7
473 2022-02-28 0.149746 0.0 1.8 1.8
474 2022-03-10 1.336954 0.0 11.5 11.5
475 2022-03-20 7.027919 0.0 23.9 23.9
476 2022-03-31 9.256548 0.0 18.1 18.1
477 2022-04-10 3.863553 0.0 11.4 11.4
478 2022-04-20 4.059188 0.0 11.2 11.2
479 2022-04-30 2.737766 0.0 20.7 20.7
480 2022-05-10 0.490254 0.0 1.2 1.2
481 2022-05-20 0.501726 0.0 2.5 2.5
482 2022-05-31 0.929442 0.0 2.9 2.9
483 2022-06-10 1.479086 0.0 6.4 6.4
484 2022-06-20 2.020508 0.2 9.6 9.4
485 2022-06-30 1.418376 0.0 10.0 10.0
486 2022-07-10 0.706396 0.0 2.6 2.6
487 2022-07-20 0.767005 0.0 3.0 3.0
488 2022-07-31 1.138173 0.0 2.8 2.8
489 2022-08-10 0.617157 0.0 1.7 1.7
490 2022-08-20 0.544670 0.0 2.7 2.7
491 2022-08-31 0.391980 0.0 1.8 1.8
492 2022-09-10 0.207716 0.0 1.6 1.6
493 2022-09-20 0.130964 0.0 0.7 0.7
494 2022-09-30 0.324975 0.0 1.4 1.4
495 2022-10-10 0.000000 0.0 0.0 0.0
496 2022-10-20 0.001117 0.0 0.2 0.2
497 2022-10-31 1.323553 0.4 3.7 3.3
498 2022-11-10 12.718579 5.2 23.5 18.3
499 2022-11-20 7.900406 2.3 14.6 12.3
500 2022-11-30 5.293299 3.1 9.1 6.0
501 2022-12-10 5.319492 0.8 12.6 11.8
502 2022-12-20 9.466802 4.2 19.9 15.7
503 2022-12-31 0.429340 0.0 4.0 4.0

Save data to csv file

In [14]:
ts_area.to_csv(work_dir + '/' + 'PCP_area.csv')

* Get Point time-series¶

In [15]:
centre_lon = (xmin+xmax)/2
print(centre_lon)
centre_lat = (ymin+ymax)/2
print(centre_lat)
33.5685733371311
-19.820833333333304
In [16]:
Point=[centre_lon, centre_lat] #longitude and latitude
ts_point=WaPOR.API.getPixelTimeseries(Point,'L1_PCP_D', time_range="2009-01-01,2023-12-01")
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)

display (ts_point)
dekad value
0 2009-01-10 16.9
1 2009-01-20 9.9
2 2009-01-31 1.0
3 2009-02-10 0.0
4 2009-02-20 3.4
5 2009-02-28 18.3
6 2009-03-10 5.1
7 2009-03-20 6.7
8 2009-03-31 11.6
9 2009-04-10 3.5
10 2009-04-20 1.6
11 2009-04-30 2.0
12 2009-05-10 2.1
13 2009-05-20 0.3
14 2009-05-31 0.3
15 2009-06-10 1.7
16 2009-06-20 0.6
17 2009-06-30 1.2
18 2009-07-10 1.5
19 2009-07-20 1.0
20 2009-07-31 0.3
21 2009-08-10 0.2
22 2009-08-20 0.6
23 2009-08-31 0.6
24 2009-09-10 0.0
25 2009-09-20 0.0
26 2009-09-30 4.2
27 2009-10-10 0.0
28 2009-10-20 0.2
29 2009-10-31 1.5
30 2009-11-10 3.1
31 2009-11-20 8.9
32 2009-11-30 0.6
33 2009-12-10 9.0
34 2009-12-20 4.9
35 2009-12-31 0.0
36 2010-01-10 0.9
37 2010-01-20 0.5
38 2010-01-31 6.7
39 2010-02-10 1.1
40 2010-02-20 7.8
41 2010-02-28 16.8
42 2010-03-10 4.2
43 2010-03-20 4.3
44 2010-03-31 0.0
45 2010-04-10 6.6
46 2010-04-20 5.3
47 2010-04-30 0.0
48 2010-05-10 0.0
49 2010-05-20 1.2
50 2010-05-31 2.1
51 2010-06-10 0.0
52 2010-06-20 0.7
53 2010-06-30 1.5
54 2010-07-10 0.5
55 2010-07-20 0.0
56 2010-07-31 1.3
57 2010-08-10 0.6
58 2010-08-20 0.0
59 2010-08-31 0.5
60 2010-09-10 0.5
61 2010-09-20 0.6
62 2010-09-30 0.6
63 2010-10-10 0.0
64 2010-10-20 0.7
65 2010-10-31 1.0
66 2010-11-10 3.0
67 2010-11-20 1.4
68 2010-11-30 2.4
69 2010-12-10 9.7
70 2010-12-20 5.0
71 2010-12-31 2.3
72 2011-01-10 11.8
73 2011-01-20 26.7
74 2011-01-31 17.7
75 2011-02-10 2.2
76 2011-02-20 0.7
77 2011-02-28 1.9
78 2011-03-10 0.0
79 2011-03-20 4.1
80 2011-03-31 1.8
81 2011-04-10 0.0
82 2011-04-20 0.0
83 2011-04-30 5.5
84 2011-05-10 0.4
85 2011-05-20 1.0
86 2011-05-31 0.2
87 2011-06-10 0.7
88 2011-06-20 0.5
89 2011-06-30 0.6
90 2011-07-10 0.5
91 2011-07-20 1.4
92 2011-07-31 0.0
93 2011-08-10 0.0
94 2011-08-20 0.6
95 2011-08-31 0.5
96 2011-09-10 0.0
97 2011-09-20 1.8
98 2011-09-30 0.0
99 2011-10-10 2.3
100 2011-10-20 1.2
101 2011-10-31 0.1
102 2011-11-10 0.0
103 2011-11-20 1.2
104 2011-11-30 5.9
105 2011-12-10 2.0
106 2011-12-20 10.0
107 2011-12-31 4.6
108 2012-01-10 0.0
109 2012-01-20 8.1
110 2012-01-31 3.6
111 2012-02-10 0.0
112 2012-02-20 8.8
113 2012-02-29 1.4
114 2012-03-10 4.7
115 2012-03-20 2.5
116 2012-03-31 6.3
117 2012-04-10 2.6
118 2012-04-20 2.1
119 2012-04-30 0.8
120 2012-05-10 0.0
121 2012-05-20 0.4
122 2012-05-31 1.1
123 2012-06-10 0.0
124 2012-06-20 0.7
125 2012-06-30 1.2
126 2012-07-10 0.0
127 2012-07-20 0.3
128 2012-07-31 0.7
129 2012-08-10 0.4
130 2012-08-20 0.0
131 2012-08-31 0.5
132 2012-09-10 0.0
133 2012-09-20 0.0
134 2012-09-30 2.9
135 2012-10-10 0.0
136 2012-10-20 2.3
137 2012-10-31 2.8
138 2012-11-10 0.4
139 2012-11-20 0.0
140 2012-11-30 1.7
141 2012-12-10 4.7
142 2012-12-20 1.3
143 2012-12-31 5.5
144 2013-01-10 16.7
145 2013-01-20 22.4
146 2013-01-31 5.4
147 2013-02-10 3.0
148 2013-02-20 8.4
149 2013-02-28 0.0
150 2013-03-10 7.4
151 2013-03-20 0.0
152 2013-03-31 0.0
153 2013-04-10 0.0
154 2013-04-20 0.0
155 2013-04-30 6.4
156 2013-05-10 0.4
157 2013-05-20 2.9
158 2013-05-31 0.6
159 2013-06-10 0.0
160 2013-06-20 0.6
161 2013-06-30 1.3
162 2013-07-10 0.0
163 2013-07-20 1.4
164 2013-07-31 2.3
165 2013-08-10 0.6
166 2013-08-20 1.0
167 2013-08-31 0.0
168 2013-09-10 0.5
169 2013-09-20 0.0
170 2013-09-30 1.5
171 2013-10-10 0.0
172 2013-10-20 0.0
173 2013-10-31 4.3
174 2013-11-10 2.1
175 2013-11-20 2.8
176 2013-11-30 2.0
177 2013-12-10 0.4
178 2013-12-20 11.3
179 2013-12-31 7.3
180 2014-01-10 10.5
181 2014-01-20 1.5
182 2014-01-31 24.2
183 2014-02-10 10.7
184 2014-02-20 0.0
185 2014-02-28 0.0
186 2014-03-10 6.1
187 2014-03-20 2.1
188 2014-03-31 1.3
189 2014-04-10 0.0
190 2014-04-20 0.0
191 2014-04-30 10.7
192 2014-05-10 0.6
193 2014-05-20 0.7
194 2014-05-31 1.2
195 2014-06-10 0.8
196 2014-06-20 1.3
197 2014-06-30 0.7
198 2014-07-10 0.0
199 2014-07-20 1.2
200 2014-07-31 1.3
201 2014-08-10 0.9
202 2014-08-20 0.0
203 2014-08-31 0.4
204 2014-09-10 0.7
205 2014-09-20 0.6
206 2014-09-30 0.0
207 2014-10-10 0.0
208 2014-10-20 0.0
209 2014-10-31 0.0
210 2014-11-10 1.4
211 2014-11-20 4.2
212 2014-11-30 0.3
213 2014-12-10 1.9
214 2014-12-20 11.2
215 2014-12-31 14.2
216 2015-01-10 0.0
217 2015-01-20 2.7
218 2015-01-31 7.3
219 2015-02-10 4.9
220 2015-02-20 8.4
221 2015-02-28 0.0
222 2015-03-10 0.0
223 2015-03-20 0.0
224 2015-03-31 10.9
225 2015-04-10 7.1
226 2015-04-20 0.0
227 2015-04-30 0.0
228 2015-05-10 0.4
229 2015-05-20 0.6
230 2015-05-31 0.5
231 2015-06-10 0.5
232 2015-06-20 0.0
233 2015-06-30 1.2
234 2015-07-10 0.0
235 2015-07-20 0.5
236 2015-07-31 1.2
237 2015-08-10 0.6
238 2015-08-20 0.6
239 2015-08-31 0.0
240 2015-09-10 1.5
241 2015-09-20 0.5
242 2015-09-30 0.7
243 2015-10-10 0.0
244 2015-10-20 0.9
245 2015-10-31 0.0
246 2015-11-10 0.0
247 2015-11-20 1.7
248 2015-11-30 2.1
249 2015-12-10 0.0
250 2015-12-20 7.3
251 2015-12-31 2.6
252 2016-01-10 0.0
253 2016-01-20 0.0
254 2016-01-31 14.7
255 2016-02-10 0.0
256 2016-02-20 0.0
257 2016-02-29 6.5
258 2016-03-10 4.8
259 2016-03-20 7.2
260 2016-03-31 4.9
261 2016-04-10 13.1
262 2016-04-20 0.0
263 2016-04-30 0.0
264 2016-05-10 0.0
265 2016-05-20 0.8
266 2016-05-31 1.2
267 2016-06-10 0.6
268 2016-06-20 1.1
269 2016-06-30 0.6
270 2016-07-10 0.0
271 2016-07-20 0.3
272 2016-07-31 1.5
273 2016-08-10 0.9
274 2016-08-20 0.0
275 2016-08-31 0.4
276 2016-09-10 0.6
277 2016-09-20 0.0
278 2016-09-30 0.4
279 2016-10-10 2.4
280 2016-10-20 0.0
281 2016-10-31 0.0
282 2016-11-10 1.2
283 2016-11-20 8.8
284 2016-11-30 0.0
285 2016-12-10 2.2
286 2016-12-20 10.7
287 2016-12-31 14.3
288 2017-01-10 19.1
289 2017-01-20 28.2
290 2017-01-31 11.3
291 2017-02-10 7.1
292 2017-02-20 10.2
293 2017-02-28 9.5
294 2017-03-10 13.2
295 2017-03-20 8.1
296 2017-03-31 0.0
297 2017-04-10 0.0
298 2017-04-20 0.0
299 2017-04-30 4.8
300 2017-05-10 0.0
301 2017-05-20 0.8
302 2017-05-31 2.2
303 2017-06-10 0.7
304 2017-06-20 0.8
305 2017-06-30 1.6
306 2017-07-10 0.8
307 2017-07-20 1.4
308 2017-07-31 2.6
309 2017-08-10 1.3
310 2017-08-20 0.5
311 2017-08-31 0.0
312 2017-09-10 0.5
313 2017-09-20 0.4
314 2017-09-30 0.4
315 2017-10-10 1.1
316 2017-10-20 0.0
317 2017-10-31 1.3
318 2017-11-10 1.2
319 2017-11-20 8.4
320 2017-11-30 1.7
321 2017-12-10 0.0
322 2017-12-20 3.7
323 2017-12-31 8.2
324 2018-01-10 5.7
325 2018-01-20 1.7
326 2018-01-31 0.0
327 2018-02-10 16.1
328 2018-02-20 13.9
329 2018-02-28 11.5
330 2018-03-10 2.3
331 2018-03-20 0.0
332 2018-03-31 10.3
333 2018-04-10 6.9
334 2018-04-20 1.5
335 2018-04-30 0.0
336 2018-05-10 0.6
337 2018-05-20 0.5
338 2018-05-31 0.5
339 2018-06-10 1.2
340 2018-06-20 0.0
341 2018-06-30 0.5
342 2018-07-10 1.1
343 2018-07-20 1.9
344 2018-07-31 3.9
345 2018-08-10 1.3
346 2018-08-20 0.6
347 2018-08-31 0.0
348 2018-09-10 1.2
349 2018-09-20 0.0
350 2018-09-30 0.0
351 2018-10-10 0.0
352 2018-10-20 0.4
353 2018-10-31 0.4
354 2018-11-10 0.0
355 2018-11-20 0.0
356 2018-11-30 8.3
357 2018-12-10 6.5
358 2018-12-20 0.4
359 2018-12-31 3.3
360 2019-01-10 12.1
361 2019-01-20 13.0
362 2019-01-31 6.9
363 2019-02-10 0.0
364 2019-02-20 12.8
365 2019-02-28 0.0
366 2019-03-10 0.0
367 2019-03-20 13.1
368 2019-03-31 0.0
369 2019-04-10 0.0
370 2019-04-20 3.2
371 2019-04-30 0.5
372 2019-05-10 0.0
373 2019-05-20 0.0
374 2019-05-31 0.4
375 2019-06-10 0.5
376 2019-06-20 0.4
377 2019-06-30 1.4
378 2019-07-10 0.0
379 2019-07-20 0.5
380 2019-07-31 1.1
381 2019-08-10 1.1
382 2019-08-20 0.7
383 2019-08-31 0.0
384 2019-09-10 1.3
385 2019-09-20 0.8
386 2019-09-30 0.5
387 2019-10-10 1.4
388 2019-10-20 0.0
389 2019-10-31 0.6
390 2019-11-10 0.0
391 2019-11-20 5.3
392 2019-11-30 3.6
393 2019-12-10 3.7
394 2019-12-20 5.4
395 2019-12-31 2.3
396 2020-01-10 0.0
397 2020-01-20 35.3
398 2020-01-31 0.0
399 2020-02-10 14.2
400 2020-02-20 8.8
401 2020-02-29 2.3
402 2020-03-10 0.0
403 2020-03-20 0.0
404 2020-03-31 5.3
405 2020-04-10 3.4
406 2020-04-20 1.6
407 2020-04-30 0.0
408 2020-05-10 0.0
409 2020-05-20 1.0
410 2020-05-31 0.0
411 2020-06-10 1.8
412 2020-06-20 2.5
413 2020-06-30 0.0
414 2020-07-10 0.0
415 2020-07-20 1.1
416 2020-07-31 1.6
417 2020-08-10 0.6
418 2020-08-20 0.6
419 2020-08-31 0.0
420 2020-09-10 0.9
421 2020-09-20 1.0
422 2020-09-30 0.7
423 2020-10-10 1.9
424 2020-10-20 0.0
425 2020-10-31 0.3
426 2020-11-10 3.5
427 2020-11-20 0.2
428 2020-11-30 3.8
429 2020-12-10 4.9
430 2020-12-20 9.7
431 2020-12-31 7.1
432 2021-01-10 14.0
433 2021-01-20 33.3
434 2021-01-31 9.2
435 2021-02-10 5.9
436 2021-02-20 17.9
437 2021-02-28 4.4
438 2021-03-10 0.0
439 2021-03-20 0.0
440 2021-03-31 3.2
441 2021-04-10 0.0
442 2021-04-20 0.0
443 2021-04-30 2.4
444 2021-05-10 0.7
445 2021-05-20 0.9
446 2021-05-31 1.5
447 2021-06-10 4.5
448 2021-06-20 1.6
449 2021-06-30 2.6
450 2021-07-10 1.1
451 2021-07-20 1.2
452 2021-07-31 2.1
453 2021-08-10 1.5
454 2021-08-20 0.6
455 2021-08-31 0.5
456 2021-09-10 0.0
457 2021-09-20 0.5
458 2021-09-30 0.8
459 2021-10-10 0.0
460 2021-10-20 0.0
461 2021-10-31 1.7
462 2021-11-10 0.0
463 2021-11-20 1.0
464 2021-11-30 2.1
465 2021-12-10 0.0
466 2021-12-20 3.1
467 2021-12-31 4.8
468 2022-01-10 5.0
469 2022-01-20 5.1
470 2022-01-31 16.9
471 2022-02-10 5.7
472 2022-02-20 0.0
473 2022-02-28 0.0
474 2022-03-10 1.1
475 2022-03-20 11.9
476 2022-03-31 12.3
477 2022-04-10 4.2
478 2022-04-20 5.1
479 2022-04-30 2.5
480 2022-05-10 0.0
481 2022-05-20 0.0
482 2022-05-31 2.3
483 2022-06-10 2.1
484 2022-06-20 2.1
485 2022-06-30 1.8
486 2022-07-10 0.0
487 2022-07-20 1.3
488 2022-07-31 2.1
489 2022-08-10 0.6
490 2022-08-20 0.5
491 2022-08-31 0.4
492 2022-09-10 0.0
493 2022-09-20 0.0
494 2022-09-30 0.1
495 2022-10-10 0.0
496 2022-10-20 0.0
497 2022-10-31 1.7
498 2022-11-10 11.1
499 2022-11-20 8.7
500 2022-11-30 4.9
501 2022-12-10 5.4
502 2022-12-20 8.8
503 2022-12-31 0.0
504 2023-01-10 18.4
505 2023-01-20 4.8
506 2023-01-31 2.2
507 2023-02-10 7.5
508 2023-02-20 12.2
509 2023-02-28 18.1
510 2023-03-10 2.7
511 2023-03-20 5.2
512 2023-03-31 1.3
513 2023-04-10 0.9
514 2023-04-20 1.6
515 2023-04-30 1.2
516 2023-05-10 0.7
517 2023-05-20 0.8
518 2023-05-31 0.6
519 2023-06-10 0.7
520 2023-06-20 0.5
521 2023-06-30 0.7
522 2023-07-10 0.5
523 2023-07-31 1.2
524 2023-08-10 0.9
525 2023-08-20 0.6
526 2023-08-31 0.5
527 2023-09-10 0.4
528 2023-09-30 0.3
529 2023-10-10 1.3
530 2023-10-31 0.5
531 2023-11-10 1.2
532 2023-11-20 0.3
533 2023-11-30 3.3

Remark¶

The value of each pixel represents the average of daily precipitation in the dekad expressed in mm. To get the total precipitation for each dekad, we need to multiply the value by the number of days for each dekad. For sake of simplicity, we assumme each dakad has 10 days. To conduct this operation in pandas, execute the code field below

In [17]:
ts_point['PCP_Dek'] = ts_point['value'] * 10
display (ts_point)
ts_point.to_csv(work_dir + '/' + 'PCP_point.csv')
dekad value PCP_Dek
0 2009-01-10 16.9 169.0
1 2009-01-20 9.9 99.0
2 2009-01-31 1.0 10.0
3 2009-02-10 0.0 0.0
4 2009-02-20 3.4 34.0
5 2009-02-28 18.3 183.0
6 2009-03-10 5.1 51.0
7 2009-03-20 6.7 67.0
8 2009-03-31 11.6 116.0
9 2009-04-10 3.5 35.0
10 2009-04-20 1.6 16.0
11 2009-04-30 2.0 20.0
12 2009-05-10 2.1 21.0
13 2009-05-20 0.3 3.0
14 2009-05-31 0.3 3.0
15 2009-06-10 1.7 17.0
16 2009-06-20 0.6 6.0
17 2009-06-30 1.2 12.0
18 2009-07-10 1.5 15.0
19 2009-07-20 1.0 10.0
20 2009-07-31 0.3 3.0
21 2009-08-10 0.2 2.0
22 2009-08-20 0.6 6.0
23 2009-08-31 0.6 6.0
24 2009-09-10 0.0 0.0
25 2009-09-20 0.0 0.0
26 2009-09-30 4.2 42.0
27 2009-10-10 0.0 0.0
28 2009-10-20 0.2 2.0
29 2009-10-31 1.5 15.0
30 2009-11-10 3.1 31.0
31 2009-11-20 8.9 89.0
32 2009-11-30 0.6 6.0
33 2009-12-10 9.0 90.0
34 2009-12-20 4.9 49.0
35 2009-12-31 0.0 0.0
36 2010-01-10 0.9 9.0
37 2010-01-20 0.5 5.0
38 2010-01-31 6.7 67.0
39 2010-02-10 1.1 11.0
40 2010-02-20 7.8 78.0
41 2010-02-28 16.8 168.0
42 2010-03-10 4.2 42.0
43 2010-03-20 4.3 43.0
44 2010-03-31 0.0 0.0
45 2010-04-10 6.6 66.0
46 2010-04-20 5.3 53.0
47 2010-04-30 0.0 0.0
48 2010-05-10 0.0 0.0
49 2010-05-20 1.2 12.0
50 2010-05-31 2.1 21.0
51 2010-06-10 0.0 0.0
52 2010-06-20 0.7 7.0
53 2010-06-30 1.5 15.0
54 2010-07-10 0.5 5.0
55 2010-07-20 0.0 0.0
56 2010-07-31 1.3 13.0
57 2010-08-10 0.6 6.0
58 2010-08-20 0.0 0.0
59 2010-08-31 0.5 5.0
60 2010-09-10 0.5 5.0
61 2010-09-20 0.6 6.0
62 2010-09-30 0.6 6.0
63 2010-10-10 0.0 0.0
64 2010-10-20 0.7 7.0
65 2010-10-31 1.0 10.0
66 2010-11-10 3.0 30.0
67 2010-11-20 1.4 14.0
68 2010-11-30 2.4 24.0
69 2010-12-10 9.7 97.0
70 2010-12-20 5.0 50.0
71 2010-12-31 2.3 23.0
72 2011-01-10 11.8 118.0
73 2011-01-20 26.7 267.0
74 2011-01-31 17.7 177.0
75 2011-02-10 2.2 22.0
76 2011-02-20 0.7 7.0
77 2011-02-28 1.9 19.0
78 2011-03-10 0.0 0.0
79 2011-03-20 4.1 41.0
80 2011-03-31 1.8 18.0
81 2011-04-10 0.0 0.0
82 2011-04-20 0.0 0.0
83 2011-04-30 5.5 55.0
84 2011-05-10 0.4 4.0
85 2011-05-20 1.0 10.0
86 2011-05-31 0.2 2.0
87 2011-06-10 0.7 7.0
88 2011-06-20 0.5 5.0
89 2011-06-30 0.6 6.0
90 2011-07-10 0.5 5.0
91 2011-07-20 1.4 14.0
92 2011-07-31 0.0 0.0
93 2011-08-10 0.0 0.0
94 2011-08-20 0.6 6.0
95 2011-08-31 0.5 5.0
96 2011-09-10 0.0 0.0
97 2011-09-20 1.8 18.0
98 2011-09-30 0.0 0.0
99 2011-10-10 2.3 23.0
100 2011-10-20 1.2 12.0
101 2011-10-31 0.1 1.0
102 2011-11-10 0.0 0.0
103 2011-11-20 1.2 12.0
104 2011-11-30 5.9 59.0
105 2011-12-10 2.0 20.0
106 2011-12-20 10.0 100.0
107 2011-12-31 4.6 46.0
108 2012-01-10 0.0 0.0
109 2012-01-20 8.1 81.0
110 2012-01-31 3.6 36.0
111 2012-02-10 0.0 0.0
112 2012-02-20 8.8 88.0
113 2012-02-29 1.4 14.0
114 2012-03-10 4.7 47.0
115 2012-03-20 2.5 25.0
116 2012-03-31 6.3 63.0
117 2012-04-10 2.6 26.0
118 2012-04-20 2.1 21.0
119 2012-04-30 0.8 8.0
120 2012-05-10 0.0 0.0
121 2012-05-20 0.4 4.0
122 2012-05-31 1.1 11.0
123 2012-06-10 0.0 0.0
124 2012-06-20 0.7 7.0
125 2012-06-30 1.2 12.0
126 2012-07-10 0.0 0.0
127 2012-07-20 0.3 3.0
128 2012-07-31 0.7 7.0
129 2012-08-10 0.4 4.0
130 2012-08-20 0.0 0.0
131 2012-08-31 0.5 5.0
132 2012-09-10 0.0 0.0
133 2012-09-20 0.0 0.0
134 2012-09-30 2.9 29.0
135 2012-10-10 0.0 0.0
136 2012-10-20 2.3 23.0
137 2012-10-31 2.8 28.0
138 2012-11-10 0.4 4.0
139 2012-11-20 0.0 0.0
140 2012-11-30 1.7 17.0
141 2012-12-10 4.7 47.0
142 2012-12-20 1.3 13.0
143 2012-12-31 5.5 55.0
144 2013-01-10 16.7 167.0
145 2013-01-20 22.4 224.0
146 2013-01-31 5.4 54.0
147 2013-02-10 3.0 30.0
148 2013-02-20 8.4 84.0
149 2013-02-28 0.0 0.0
150 2013-03-10 7.4 74.0
151 2013-03-20 0.0 0.0
152 2013-03-31 0.0 0.0
153 2013-04-10 0.0 0.0
154 2013-04-20 0.0 0.0
155 2013-04-30 6.4 64.0
156 2013-05-10 0.4 4.0
157 2013-05-20 2.9 29.0
158 2013-05-31 0.6 6.0
159 2013-06-10 0.0 0.0
160 2013-06-20 0.6 6.0
161 2013-06-30 1.3 13.0
162 2013-07-10 0.0 0.0
163 2013-07-20 1.4 14.0
164 2013-07-31 2.3 23.0
165 2013-08-10 0.6 6.0
166 2013-08-20 1.0 10.0
167 2013-08-31 0.0 0.0
168 2013-09-10 0.5 5.0
169 2013-09-20 0.0 0.0
170 2013-09-30 1.5 15.0
171 2013-10-10 0.0 0.0
172 2013-10-20 0.0 0.0
173 2013-10-31 4.3 43.0
174 2013-11-10 2.1 21.0
175 2013-11-20 2.8 28.0
176 2013-11-30 2.0 20.0
177 2013-12-10 0.4 4.0
178 2013-12-20 11.3 113.0
179 2013-12-31 7.3 73.0
180 2014-01-10 10.5 105.0
181 2014-01-20 1.5 15.0
182 2014-01-31 24.2 242.0
183 2014-02-10 10.7 107.0
184 2014-02-20 0.0 0.0
185 2014-02-28 0.0 0.0
186 2014-03-10 6.1 61.0
187 2014-03-20 2.1 21.0
188 2014-03-31 1.3 13.0
189 2014-04-10 0.0 0.0
190 2014-04-20 0.0 0.0
191 2014-04-30 10.7 107.0
192 2014-05-10 0.6 6.0
193 2014-05-20 0.7 7.0
194 2014-05-31 1.2 12.0
195 2014-06-10 0.8 8.0
196 2014-06-20 1.3 13.0
197 2014-06-30 0.7 7.0
198 2014-07-10 0.0 0.0
199 2014-07-20 1.2 12.0
200 2014-07-31 1.3 13.0
201 2014-08-10 0.9 9.0
202 2014-08-20 0.0 0.0
203 2014-08-31 0.4 4.0
204 2014-09-10 0.7 7.0
205 2014-09-20 0.6 6.0
206 2014-09-30 0.0 0.0
207 2014-10-10 0.0 0.0
208 2014-10-20 0.0 0.0
209 2014-10-31 0.0 0.0
210 2014-11-10 1.4 14.0
211 2014-11-20 4.2 42.0
212 2014-11-30 0.3 3.0
213 2014-12-10 1.9 19.0
214 2014-12-20 11.2 112.0
215 2014-12-31 14.2 142.0
216 2015-01-10 0.0 0.0
217 2015-01-20 2.7 27.0
218 2015-01-31 7.3 73.0
219 2015-02-10 4.9 49.0
220 2015-02-20 8.4 84.0
221 2015-02-28 0.0 0.0
222 2015-03-10 0.0 0.0
223 2015-03-20 0.0 0.0
224 2015-03-31 10.9 109.0
225 2015-04-10 7.1 71.0
226 2015-04-20 0.0 0.0
227 2015-04-30 0.0 0.0
228 2015-05-10 0.4 4.0
229 2015-05-20 0.6 6.0
230 2015-05-31 0.5 5.0
231 2015-06-10 0.5 5.0
232 2015-06-20 0.0 0.0
233 2015-06-30 1.2 12.0
234 2015-07-10 0.0 0.0
235 2015-07-20 0.5 5.0
236 2015-07-31 1.2 12.0
237 2015-08-10 0.6 6.0
238 2015-08-20 0.6 6.0
239 2015-08-31 0.0 0.0
240 2015-09-10 1.5 15.0
241 2015-09-20 0.5 5.0
242 2015-09-30 0.7 7.0
243 2015-10-10 0.0 0.0
244 2015-10-20 0.9 9.0
245 2015-10-31 0.0 0.0
246 2015-11-10 0.0 0.0
247 2015-11-20 1.7 17.0
248 2015-11-30 2.1 21.0
249 2015-12-10 0.0 0.0
250 2015-12-20 7.3 73.0
251 2015-12-31 2.6 26.0
252 2016-01-10 0.0 0.0
253 2016-01-20 0.0 0.0
254 2016-01-31 14.7 147.0
255 2016-02-10 0.0 0.0
256 2016-02-20 0.0 0.0
257 2016-02-29 6.5 65.0
258 2016-03-10 4.8 48.0
259 2016-03-20 7.2 72.0
260 2016-03-31 4.9 49.0
261 2016-04-10 13.1 131.0
262 2016-04-20 0.0 0.0
263 2016-04-30 0.0 0.0
264 2016-05-10 0.0 0.0
265 2016-05-20 0.8 8.0
266 2016-05-31 1.2 12.0
267 2016-06-10 0.6 6.0
268 2016-06-20 1.1 11.0
269 2016-06-30 0.6 6.0
270 2016-07-10 0.0 0.0
271 2016-07-20 0.3 3.0
272 2016-07-31 1.5 15.0
273 2016-08-10 0.9 9.0
274 2016-08-20 0.0 0.0
275 2016-08-31 0.4 4.0
276 2016-09-10 0.6 6.0
277 2016-09-20 0.0 0.0
278 2016-09-30 0.4 4.0
279 2016-10-10 2.4 24.0
280 2016-10-20 0.0 0.0
281 2016-10-31 0.0 0.0
282 2016-11-10 1.2 12.0
283 2016-11-20 8.8 88.0
284 2016-11-30 0.0 0.0
285 2016-12-10 2.2 22.0
286 2016-12-20 10.7 107.0
287 2016-12-31 14.3 143.0
288 2017-01-10 19.1 191.0
289 2017-01-20 28.2 282.0
290 2017-01-31 11.3 113.0
291 2017-02-10 7.1 71.0
292 2017-02-20 10.2 102.0
293 2017-02-28 9.5 95.0
294 2017-03-10 13.2 132.0
295 2017-03-20 8.1 81.0
296 2017-03-31 0.0 0.0
297 2017-04-10 0.0 0.0
298 2017-04-20 0.0 0.0
299 2017-04-30 4.8 48.0
300 2017-05-10 0.0 0.0
301 2017-05-20 0.8 8.0
302 2017-05-31 2.2 22.0
303 2017-06-10 0.7 7.0
304 2017-06-20 0.8 8.0
305 2017-06-30 1.6 16.0
306 2017-07-10 0.8 8.0
307 2017-07-20 1.4 14.0
308 2017-07-31 2.6 26.0
309 2017-08-10 1.3 13.0
310 2017-08-20 0.5 5.0
311 2017-08-31 0.0 0.0
312 2017-09-10 0.5 5.0
313 2017-09-20 0.4 4.0
314 2017-09-30 0.4 4.0
315 2017-10-10 1.1 11.0
316 2017-10-20 0.0 0.0
317 2017-10-31 1.3 13.0
318 2017-11-10 1.2 12.0
319 2017-11-20 8.4 84.0
320 2017-11-30 1.7 17.0
321 2017-12-10 0.0 0.0
322 2017-12-20 3.7 37.0
323 2017-12-31 8.2 82.0
324 2018-01-10 5.7 57.0
325 2018-01-20 1.7 17.0
326 2018-01-31 0.0 0.0
327 2018-02-10 16.1 161.0
328 2018-02-20 13.9 139.0
329 2018-02-28 11.5 115.0
330 2018-03-10 2.3 23.0
331 2018-03-20 0.0 0.0
332 2018-03-31 10.3 103.0
333 2018-04-10 6.9 69.0
334 2018-04-20 1.5 15.0
335 2018-04-30 0.0 0.0
336 2018-05-10 0.6 6.0
337 2018-05-20 0.5 5.0
338 2018-05-31 0.5 5.0
339 2018-06-10 1.2 12.0
340 2018-06-20 0.0 0.0
341 2018-06-30 0.5 5.0
342 2018-07-10 1.1 11.0
343 2018-07-20 1.9 19.0
344 2018-07-31 3.9 39.0
345 2018-08-10 1.3 13.0
346 2018-08-20 0.6 6.0
347 2018-08-31 0.0 0.0
348 2018-09-10 1.2 12.0
349 2018-09-20 0.0 0.0
350 2018-09-30 0.0 0.0
351 2018-10-10 0.0 0.0
352 2018-10-20 0.4 4.0
353 2018-10-31 0.4 4.0
354 2018-11-10 0.0 0.0
355 2018-11-20 0.0 0.0
356 2018-11-30 8.3 83.0
357 2018-12-10 6.5 65.0
358 2018-12-20 0.4 4.0
359 2018-12-31 3.3 33.0
360 2019-01-10 12.1 121.0
361 2019-01-20 13.0 130.0
362 2019-01-31 6.9 69.0
363 2019-02-10 0.0 0.0
364 2019-02-20 12.8 128.0
365 2019-02-28 0.0 0.0
366 2019-03-10 0.0 0.0
367 2019-03-20 13.1 131.0
368 2019-03-31 0.0 0.0
369 2019-04-10 0.0 0.0
370 2019-04-20 3.2 32.0
371 2019-04-30 0.5 5.0
372 2019-05-10 0.0 0.0
373 2019-05-20 0.0 0.0
374 2019-05-31 0.4 4.0
375 2019-06-10 0.5 5.0
376 2019-06-20 0.4 4.0
377 2019-06-30 1.4 14.0
378 2019-07-10 0.0 0.0
379 2019-07-20 0.5 5.0
380 2019-07-31 1.1 11.0
381 2019-08-10 1.1 11.0
382 2019-08-20 0.7 7.0
383 2019-08-31 0.0 0.0
384 2019-09-10 1.3 13.0
385 2019-09-20 0.8 8.0
386 2019-09-30 0.5 5.0
387 2019-10-10 1.4 14.0
388 2019-10-20 0.0 0.0
389 2019-10-31 0.6 6.0
390 2019-11-10 0.0 0.0
391 2019-11-20 5.3 53.0
392 2019-11-30 3.6 36.0
393 2019-12-10 3.7 37.0
394 2019-12-20 5.4 54.0
395 2019-12-31 2.3 23.0
396 2020-01-10 0.0 0.0
397 2020-01-20 35.3 353.0
398 2020-01-31 0.0 0.0
399 2020-02-10 14.2 142.0
400 2020-02-20 8.8 88.0
401 2020-02-29 2.3 23.0
402 2020-03-10 0.0 0.0
403 2020-03-20 0.0 0.0
404 2020-03-31 5.3 53.0
405 2020-04-10 3.4 34.0
406 2020-04-20 1.6 16.0
407 2020-04-30 0.0 0.0
408 2020-05-10 0.0 0.0
409 2020-05-20 1.0 10.0
410 2020-05-31 0.0 0.0
411 2020-06-10 1.8 18.0
412 2020-06-20 2.5 25.0
413 2020-06-30 0.0 0.0
414 2020-07-10 0.0 0.0
415 2020-07-20 1.1 11.0
416 2020-07-31 1.6 16.0
417 2020-08-10 0.6 6.0
418 2020-08-20 0.6 6.0
419 2020-08-31 0.0 0.0
420 2020-09-10 0.9 9.0
421 2020-09-20 1.0 10.0
422 2020-09-30 0.7 7.0
423 2020-10-10 1.9 19.0
424 2020-10-20 0.0 0.0
425 2020-10-31 0.3 3.0
426 2020-11-10 3.5 35.0
427 2020-11-20 0.2 2.0
428 2020-11-30 3.8 38.0
429 2020-12-10 4.9 49.0
430 2020-12-20 9.7 97.0
431 2020-12-31 7.1 71.0
432 2021-01-10 14.0 140.0
433 2021-01-20 33.3 333.0
434 2021-01-31 9.2 92.0
435 2021-02-10 5.9 59.0
436 2021-02-20 17.9 179.0
437 2021-02-28 4.4 44.0
438 2021-03-10 0.0 0.0
439 2021-03-20 0.0 0.0
440 2021-03-31 3.2 32.0
441 2021-04-10 0.0 0.0
442 2021-04-20 0.0 0.0
443 2021-04-30 2.4 24.0
444 2021-05-10 0.7 7.0
445 2021-05-20 0.9 9.0
446 2021-05-31 1.5 15.0
447 2021-06-10 4.5 45.0
448 2021-06-20 1.6 16.0
449 2021-06-30 2.6 26.0
450 2021-07-10 1.1 11.0
451 2021-07-20 1.2 12.0
452 2021-07-31 2.1 21.0
453 2021-08-10 1.5 15.0
454 2021-08-20 0.6 6.0
455 2021-08-31 0.5 5.0
456 2021-09-10 0.0 0.0
457 2021-09-20 0.5 5.0
458 2021-09-30 0.8 8.0
459 2021-10-10 0.0 0.0
460 2021-10-20 0.0 0.0
461 2021-10-31 1.7 17.0
462 2021-11-10 0.0 0.0
463 2021-11-20 1.0 10.0
464 2021-11-30 2.1 21.0
465 2021-12-10 0.0 0.0
466 2021-12-20 3.1 31.0
467 2021-12-31 4.8 48.0
468 2022-01-10 5.0 50.0
469 2022-01-20 5.1 51.0
470 2022-01-31 16.9 169.0
471 2022-02-10 5.7 57.0
472 2022-02-20 0.0 0.0
473 2022-02-28 0.0 0.0
474 2022-03-10 1.1 11.0
475 2022-03-20 11.9 119.0
476 2022-03-31 12.3 123.0
477 2022-04-10 4.2 42.0
478 2022-04-20 5.1 51.0
479 2022-04-30 2.5 25.0
480 2022-05-10 0.0 0.0
481 2022-05-20 0.0 0.0
482 2022-05-31 2.3 23.0
483 2022-06-10 2.1 21.0
484 2022-06-20 2.1 21.0
485 2022-06-30 1.8 18.0
486 2022-07-10 0.0 0.0
487 2022-07-20 1.3 13.0
488 2022-07-31 2.1 21.0
489 2022-08-10 0.6 6.0
490 2022-08-20 0.5 5.0
491 2022-08-31 0.4 4.0
492 2022-09-10 0.0 0.0
493 2022-09-20 0.0 0.0
494 2022-09-30 0.1 1.0
495 2022-10-10 0.0 0.0
496 2022-10-20 0.0 0.0
497 2022-10-31 1.7 17.0
498 2022-11-10 11.1 111.0
499 2022-11-20 8.7 87.0
500 2022-11-30 4.9 49.0
501 2022-12-10 5.4 54.0
502 2022-12-20 8.8 88.0
503 2022-12-31 0.0 0.0
504 2023-01-10 18.4 184.0
505 2023-01-20 4.8 48.0
506 2023-01-31 2.2 22.0
507 2023-02-10 7.5 75.0
508 2023-02-20 12.2 122.0
509 2023-02-28 18.1 181.0
510 2023-03-10 2.7 27.0
511 2023-03-20 5.2 52.0
512 2023-03-31 1.3 13.0
513 2023-04-10 0.9 9.0
514 2023-04-20 1.6 16.0
515 2023-04-30 1.2 12.0
516 2023-05-10 0.7 7.0
517 2023-05-20 0.8 8.0
518 2023-05-31 0.6 6.0
519 2023-06-10 0.7 7.0
520 2023-06-20 0.5 5.0
521 2023-06-30 0.7 7.0
522 2023-07-10 0.5 5.0
523 2023-07-31 1.2 12.0
524 2023-08-10 0.9 9.0
525 2023-08-20 0.6 6.0
526 2023-08-31 0.5 5.0
527 2023-09-10 0.4 4.0
528 2023-09-30 0.3 3.0
529 2023-10-10 1.3 13.0
530 2023-10-31 0.5 5.0
531 2023-11-10 1.2 12.0
532 2023-11-20 0.3 3.0
533 2023-11-30 3.3 33.0
In [18]:
# prepare a simple graphical display of the data

plt.figure(figsize=(10,5))
plt.bar(ts_point.dekad,ts_point.PCP_Dek)
plt.xlabel('Time')
plt.ylabel('Incremental rainfall')
plt.xticks(['2009-01-10', '2012-01-10','2016-01-10', '2020-01-10', '2023-11-30'])
plt.title('CHIRPS dekadal Precipitation centre Buzi catchment, Mozambique')
plt.show()

Aggregate the precipitation per dekad to a yearly sum

In [19]:
ts_point['year']=pd.DatetimeIndex(pd.to_datetime(ts_point['dekad'].astype('string'))).year
#ts_point
In [20]:
ts_point.groupby('year').sum()
Out[20]:
value PCP_Dek
year
2009 122.8 1228.0
2010 89.8 898.0
2011 107.9 1079.0
2012 67.8 678.0
2013 113.0 1130.0
2014 110.7 1107.0
2015 64.7 647.0
2016 99.2 992.0
2017 151.1 1511.0
2018 102.5 1025.0
2019 92.6 926.0
2020 114.1 1141.0
2021 123.1 1231.0
2022 123.7 1237.0
2023 91.1 911.0

Compare your results with: https://www.climatestotravel.com/climate/mozambique/beira. What can you conclude?

Exercise:¶

Retrieve the precipitation from your home location and review the results opbtained