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License information was derived automatically
WaPOR - The FAO portal to monitor agriculture Water Productivity through Open access of Remotely sensed derived data.
The WaPOR project aims to assist partner countries in developing their capacity to monitor and improve water and land productivity in agriculture, both rainfed and irrigated, responding therefore to the challenges that are posed by the dwindling of freshwater resources and the need to sustain agricultural production to ensure food security in the face of a changing climate.
The first output of the project is the WaPOR database and portal, which provides open access to near-real time information on key land and water variables.
Information on the project, the data and methodology behind it, is available on the WaPOR website.
WaPOR database version 3 release started on 4/10/2023. The V3 release initially included data for 2022 only, while processing the archive 2018 to date in the following weeks. Please note that the quality of data improves when the full archive is processed, and we advise using the data for analyses only upon completion of the process, so when all data, 2018 to date, is available for a given level. More information on database versions can be found here.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
WaPOR - The FAO portal to monitor Water Productivity through Open access of Remotely sensed derived data.
More information on the portal can be found on the WaPOR Website
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
WaPOR - The FAO portal to monitor agriculture Water Productivity through Open access of Remotely sensed derived data.
The WaPOR project aims to assist partner countries in developing their capacity to monitor and improve water and land productivity in agriculture, both rainfed and irrigated, responding therefore to the challenges that are posed by the dwindling of freshwater resources and the need to sustain agricultural production to ensure food security in the face of a changing climate.
The first output of the project is the WaPOR database and portal, which provides open access to near-real time information on key land and water variables.
Information on the project, the data and methodology behind it, is available on the WaPOR website.
Information on database versions can be found here.
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.
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.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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 NPP for that specific month.
Data publication: 2024-03-04
Supplemental Information:
No data value: -9999
Unit : gC/m²/month
Scale Factor : 0.001
Map code : L3-NPP-M.ENO
Scale factor: The pixel value in the downloaded data must be multiplied by
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
The calculation is based on the WaPOR-ETLook model described in the Wapor methodology document.
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);
Monthly: fAPAR and soil moisture stress;
Seasonal: Land Cover.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa
This dataset consists of soil moisture and temperature measurements collected from TOMST (https://tomst.com/web/en/systems/tms/tms-4/) data loggers in several locations in Africa but also in Cuba. The dataset consists of three near-surface temperature measurements (12 cm ground surface (Temp: +12 cm), on the ground surface (Temp: 0 cm), and just below the surface (Temp: -6 cm). Measurements of soil moisture are collected at a depth of 15 cm below the ground using the Time Domain Transmittometry technique. The TOMST loggers record soil moisture measurements as raw electric signals, which have to be converted to volumetric soil moisture content by a calibration approach. At the moment, we have used a global calibration curve (independent of soil texture) as we calibrate the loggers for different textures. The dataset herein includes the raw sensor readings, which can be calibrated using the TMS calibration guide https://tomst.com/web/wp-content/uploads/2023/05/TMS-calibration-handbook.pdf
The dataset is intended for applications in hydrology to monitor long-term soil moisture conditions, agricultural droughts (vegetation water deficit), validate soil moisture and evapotranspiration observations from remote sensing, and soil water balance models. In some cases, the data is also being used to assess the suitability of using this type of sensor for irrigation scheduling and water conservation. We have deployed these loggers to evaluate whether the fine resolution (250m) data from FAO’s Water Productivity through Open access of Remotely sensed derived data (WaPOR) can be used to contribute to relevant and timely drought monitoring at micro-scale, and how drought indices computed from WaPOR-data correspond to soil moisture trends at field scale.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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). The data is provided in near real time from January 2018 to present.
Data publication: 2024-05-30
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L1-GBWP-A
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information.
Data components are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
WaPOR v. 2 datasets at national level (Level 2).
More information and details on the different WaPOR versions available at https://www.fao.org/in-action/remote-sensing-for-water-productivity/wapor-database/database-history/en
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
WaPOR v. 2 datasets at continental level (Level 1)
More information and details on the different WaPOR versions available at https://www.fao.org/in-action/remote-sensing-for-water-productivity/wapor-database/database-history/en
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
WaPOR database version 3 release started on 4/10/2023. The V3 release initially included data for 2022 only, while processing the archive 2018 to date in the following weeks. Please note that the quality of data improves when the full archive is processed, and we advise using the data for analyses only upon completion of the process, so when all data, 2018 to date, is available for a given level. More information on database versions can be found here.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Les ensembles de données ont été utilisées pour le livre "Entre perceptions et réalité, la démocratie" publié dans la série "Le monde en poche" des Presses de l'Université de Montréal et dans de multiples présentations dans des conférences, entre autres, à la World Association for Public Opinion Research (WAPOR). These data sets have been used for the book "La démocratie entre perceptions et réalité" (Democracy between perceptions and reality) published by Presses de l'Université de Montreal in the series "Le monde en poche" (The world in pocket).
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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).
Data publication: 2024-05-21
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L3-GBWP-A.JVA
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information. Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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).
Data publication: 2024-05-21
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L3-GBWP-A.MIT
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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).
Data publication: 2024-05-22
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L3-GBWP-A.ODN
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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). The data is provided in near real time from January 2018 to present.
Data publication: 2024-05-23
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L3-NBWP-A.LOT
New dekadal data layers are released approximately 5 days after the end of each 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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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.
Data publication: 2023-09-13
Supplemental Information:
No data value: -9999
Unit : mm/year
Scale Factor : 0.1
Map code : L1-T-A
Scale factor: The pixel value in the downloaded data must be multiplied by
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Metadata Contact: WaPOR
Resource Contact: WaPOR
Data lineage:
The calculation is based on the WaPOR-ETLook model described in the Wapor methodology document.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. See the methodology of the evapotranspiration data components (E, T and I) for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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). The data is provided in near real time from January 2018 to present.
Data publication: 2024-05-23
Supplemental Information:
No data value: -9999
Unit : kg/m³
Scale Factor : 0.001
Map code : L3-NBWP-A.JEN
New dekadal data layers are released approximately 5 days after the end of each 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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
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.
See the methodology of the Gross and Net Biomass Water Productivity (GBWP & NBWP) data components for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
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.
Data publication: 2024-01-16
Supplemental Information:
No data value: -9999
Unit : mm/year
Scale Factor : 0.1
Map code : L3-T-A.JVA
Scale factor: The pixel value in the downloaded data must be multiplied by
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
The calculation is based on the WaPOR-ETLook model described in the Wapor methodology document.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. See the methodology of the evapotranspiration data components (E, T and I) for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
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.
Data publication: 2024-01-31
Supplemental Information:
No data value: -9999
Unit : mm/year
Scale Factor : 0.1
Map code : L3-T-A.MIT
Scale factor: The pixel value in the downloaded data must be multiplied by
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.
Citation:
FAO WaPOR database, License: CC BY-NC-SA 4.0, [Date accessed: Day/Month/Year]
Contact points:
Resource Contact: WaPOR
Metadata Contact: WaPOR
Data lineage:
The calculation is based on the WaPOR-ETLook model described in the Wapor methodology document.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. See the methodology of the evapotranspiration data components (E, T and I) for further information.
Data component are developed through collaboration with eLEAF. More information can be found on the WaPOR Website.
Resource constraints:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Online resources:
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
WaPOR - The FAO portal to monitor agriculture Water Productivity through Open access of Remotely sensed derived data.
The WaPOR project aims to assist partner countries in developing their capacity to monitor and improve water and land productivity in agriculture, both rainfed and irrigated, responding therefore to the challenges that are posed by the dwindling of freshwater resources and the need to sustain agricultural production to ensure food security in the face of a changing climate.
The first output of the project is the WaPOR database and portal, which provides open access to near-real time information on key land and water variables.
Information on the project, the data and methodology behind it, is available on the WaPOR website.
WaPOR database version 3 release started on 4/10/2023. The V3 release initially included data for 2022 only, while processing the archive 2018 to date in the following weeks. Please note that the quality of data improves when the full archive is processed, and we advise using the data for analyses only upon completion of the process, so when all data, 2018 to date, is available for a given level. More information on database versions can be found here.