Transpiration (Africa and Near East - Dekadal - 100m) - WaPOR v2

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. The data is provided in near real time from January 2009 to present.

Data publication: 2020-01-01

Supplemental Information:

No data value: 255

Unit: mm

Conversion factor: the pixel value in the downloaded data must be multiplied by 0.1

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.

Citation:

FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC BY-NC-SA 3.0 IGO

Contact points:

Metadata Contact: WaPOR

Resource Contact: WaPOR

Data lineage:

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.

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)

Online resources:

Transpiration (Africa and Near East - Dekadal)

Data and Resources

Metadata:

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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. The data is provided in near real time from January 2009 to present.
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FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC BY-NC-SA 3.0 IGO
title
Transpiration (Africa and Near East - Dekadal - 100m) - WaPOR v2
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    • Transpiration
    • Water
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    • WaPOR
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    • Africa and Near East
    • Benin
    • Burundi
    • Egypt
    • Ethiopia
    • Ghana
    • Iraq
    • Jordan
    • Kenya
    • Lebanon
    • Mali
    • Morocco
    • Mozambique
    • Niger
    • Palestine
    • Rwanda
    • South Sudan
    • Sudan
    • Syrian Arab Republic
    • Tunisia
    • Uganda
    • Yemen
    • Awash Basin
    • Jordan Basin
    • Litani Basin
    • Niger Basin
    • Nile Basin
    • Africa
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No data value: 255 Unit: mm Conversion factor: the pixel value in the downloaded data must be multiplied by 0.1 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.
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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.
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2022-02-02 09:55:20.171895
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Additional Info

Field Value
Source Source URL
Last Updated February 21, 2024, 16:57 (UTC)
Created February 2, 2022, 09:55 (UTC)