100+ datasets found
  1. WaPOR v3

    • data.amerigeoss.org
    terriajs-group
    Updated Mar 5, 2024
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    Food and Agriculture Organization (2024). WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/wapor-v-3
    Explore at:
    terriajs-groupAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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.

  2. Water Productivity by Remote Sensing (WaPOR) (Lybia)

    • data.amerigeoss.org
    terriajs-group
    Updated Oct 17, 2023
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    Food and Agriculture Organization (2023). Water Productivity by Remote Sensing (WaPOR) (Lybia) [Dataset]. https://data.amerigeoss.org/hr/dataset/1b63fac3-9462-4a90-8699-d38697f81533
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    terriajs-groupAvailable download formats
    Dataset updated
    Oct 17, 2023
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    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

    Description

    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

  3. WaPOR - AQUAMAPS

    • data.amerigeoss.org
    terriajs-group
    Updated Mar 5, 2024
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    Food and Agriculture Organization (2024). WaPOR - AQUAMAPS [Dataset]. https://data.amerigeoss.org/es/dataset/wapor-aquamaps
    Explore at:
    terriajs-groupAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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.

  4. WAPOR Actual Evapotranspiration and Interception 2.0

    • developers.google.com
    Updated Mar 1, 2023
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    FAO UN (2023). WAPOR Actual Evapotranspiration and Interception 2.0 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_AETI_D
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    Dataset updated
    Mar 1, 2023
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Time period covered
    Jan 1, 2009 - Mar 1, 2023
    Area covered
    Description

    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.

  5. WAPOR Dekadal Evaporation 2.0

    • developers.google.com
    Updated Mar 1, 2023
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    FAO UN (2023). WAPOR Dekadal Evaporation 2.0 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/FAO_WAPOR_2_L1_E_D
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    Dataset updated
    Mar 1, 2023
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    Time period covered
    Jan 1, 2009 - Mar 1, 2023
    Area covered
    Description

    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.

  6. Net primary production (Northern Egypt - Monthly - 20m) - WaPOR v3

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Mar 26, 2024
    + more versions
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    Food and Agriculture Organization (2024). Net primary production (Northern Egypt - Monthly - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/09c8c59d-45e3-417f-b5db-c2d55aeac3dc
    Explore at:
    png(364181), wmts, xml, httpAvailable download formats
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Egypt
    Description

    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:

    Download the data from Google Cloud Storage

    Download the data from File-Browser

  7. I

    Near Surface Soil Moisture and Temperature data - TOMST

    • ihp-wins.unesco.org
    csv
    Updated Jun 3, 2025
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    (2025). Near Surface Soil Moisture and Temperature data - TOMST [Dataset]. https://ihp-wins.unesco.org/dataset/soil_moisture
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    csvAvailable download formats
    Dataset updated
    Jun 3, 2025
    License

    http://www.opendefinition.org/licenses/cc-by-sahttp://www.opendefinition.org/licenses/cc-by-sa

    Description

    About the data:

    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

    Utilization:

    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.

  8. Gross biomass water productivity (Global - Annual - 300m) - WaPOR v3

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
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    Food and Agriculture Organization (2024). Gross biomass water productivity (Global - Annual - 300m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/es/dataset/a7c071f6-c8c9-4883-9b1d-5177b6994a82
    Explore at:
    http, wmts, xml, png(219185)Available download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  9. WaPOR - L2 National

    • data.amerigeoss.org
    terriajs-group
    Updated Aug 1, 2023
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    Food and Agriculture Organization (2023). WaPOR - L2 National [Dataset]. https://data.amerigeoss.org/tl/dataset/groups/wapor-national
    Explore at:
    terriajs-groupAvailable download formats
    Dataset updated
    Aug 1, 2023
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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

  10. WaPOR v2 - Continental

    • data.amerigeoss.org
    terriajs-group
    Updated Feb 6, 2024
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    Food and Agriculture Organization (2024). WaPOR v2 - Continental [Dataset]. https://data.amerigeoss.org/dataset/wapor-v2-continental
    Explore at:
    terriajs-groupAvailable download formats
    Dataset updated
    Feb 6, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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

  11. WaPOR v3 - HiH

    • data.amerigeoss.org
    terriajs-group
    Updated Feb 6, 2024
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    Food and Agriculture Organization (2024). WaPOR v3 - HiH [Dataset]. https://data.amerigeoss.org/dataset/wapor-v3-hih
    Explore at:
    terriajs-groupAvailable download formats
    Dataset updated
    Feb 6, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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.

  12. B

    La démocratie dans le monde - Democracy in the world

    • borealisdata.ca
    Updated Jul 22, 2025
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    Claire Durand (2025). La démocratie dans le monde - Democracy in the world [Dataset]. http://doi.org/10.5683/SP3/VYRPD2
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 22, 2025
    Dataset provided by
    Borealis
    Authors
    Claire Durand
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    World
    Description

    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).

  13. Gross biomass water productivity (North Jordan Valley, Jordan - Annual -...

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
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    Food and Agriculture Organization (2024). Gross biomass water productivity (North Jordan Valley, Jordan - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/a09a7cb4-14e2-424a-9282-6c148117c3fb
    Explore at:
    png(478951), xml, wmts, httpAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Jordan
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  14. Gross biomass water productivity (Mitidja, Algeria - Annual - 20m) - WaPOR...

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
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    Food and Agriculture Organization (2024). Gross biomass water productivity (Mitidja, Algeria - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/5cef8bd3-142d-496e-95ef-1b544d8e2292
    Explore at:
    wmts, xml, http, png(374966)Available download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Algeria
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  15. Gross biomass water productivity (Office du Niger, Mali - Annual - 20m) -...

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
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    Food and Agriculture Organization (2024). Gross biomass water productivity (Office du Niger, Mali - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/23e791d5-e958-49f8-b4e4-6dfcdaac8d60
    Explore at:
    http, png(211760), wmts, xmlAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Mali
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  16. Net biomass water productivity (Tarhona region, Libya - Annual - 20m) -...

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
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    Food and Agriculture Organization (2024). Net biomass water productivity (Tarhona region, Libya - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/f8e43423-4de2-4307-955b-bd2d1868e9cf
    Explore at:
    wmts, png(189380), http, xmlAvailable download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Libya
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  17. Transpiration (Global - Annual - 300m) - WaPOR v3

    • data.amerigeoss.org
    http, json, png, wmts +1
    Updated Mar 12, 2024
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    Food and Agriculture Organization (2024). Transpiration (Global - Annual - 300m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/sk/dataset/e6873642-2233-4137-8e09-a63fc332e711
    Explore at:
    json(414), http, png(243927), xml, wmtsAvailable download formats
    Dataset updated
    Mar 12, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  18. Net biomass water productivity (Jendouba, Tunisia - Annual - 20m) - WaPOR v3...

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Jun 4, 2024
    Share
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    Food and Agriculture Organization (2024). Net biomass water productivity (Jendouba, Tunisia - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/ca906123-949c-4521-9224-a188aa77a85d
    Explore at:
    xml, http, wmts, png(391825)Available download formats
    Dataset updated
    Jun 4, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Jendouba, Tunisia
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  19. Transpiration (North Jordan Valley, Jordan - Annual - 20m) - WaPOR v3

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Mar 26, 2024
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    Food and Agriculture Organization (2024). Transpiration (North Jordan Valley, Jordan - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/km/dataset/bcb95282-aa7b-42b1-8863-a7c0590910f4
    Explore at:
    wmts, xml, png(691477), httpAvailable download formats
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    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

    Area covered
    Jordan
    Description

    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:

    Download the data from File-Browser

    Download the data from Google Cloud Storage

  20. Transpiration (Mitidja, Algeria - Annual - 20m) - WaPOR v3

    • data.amerigeoss.org
    http, png, wmts, xml
    Updated Mar 26, 2024
    Share
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    Food and Agriculture Organization (2024). Transpiration (Mitidja, Algeria - Annual - 20m) - WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/38cc5327-7d44-428a-a643-fd23b8fee5cb
    Explore at:
    png(376151), xml, http, wmtsAvailable download formats
    Dataset updated
    Mar 26, 2024
    Dataset provided by
    Food and Agriculture Organizationhttp://fao.org/
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    Algeria
    Description

    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:

    Download the data from Google Cloud Storage

    Download the data from File-Browser

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Food and Agriculture Organization (2024). WaPOR v3 [Dataset]. https://data.amerigeoss.org/dataset/wapor-v-3
Organization logo

WaPOR v3

Explore at:
13 scholarly articles cite this dataset (View in Google Scholar)
terriajs-groupAvailable download formats
Dataset updated
Mar 5, 2024
Dataset provided by
Food and Agriculture Organizationhttp://fao.org/
License

Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically

Description

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.

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