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WaPOR database methodology

Version 2 release, April 2020










​FAO. 2020. WaPOR database methodology: Version 2 release, April 2020. Rome. 




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    Book (stand-alone)
    WaPOR quality assessment
    Technical report on the data quality of the WaPOR FAO database version 1.0
    2019
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    This report describes the quality assessment of the FAO’s data portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR 1.0). The WaPOR 1.0 data portal has been prepared as a major output of the project: ´Using Remote Sensing in support of solutions to reduce agricultural water productivity gaps’, funded by the Government of The Netherlands. The WaPOR database is a comprehensive database that provides information on biomass production (for food production) and evapotranspiration (for water consumption) for Africa and the Near East in near real time covering the period 1 January 2009 to date. This report is the result of an independent quality assessment of the different datasets available in WaPOR prepared by IHE-Delft. The quality assessment checks the consistency of the different layers and compares the individual layers to various other independent data sources, including: spatial data; auxiliary data and in-situ data. The report describes the results of the quality assessment per data layer for each specific theme as available on the FAO WaPOR portal.
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    Book (stand-alone)
    WaPOR V2 quality assessment
    Technical report on the data quality of the WaPOR FAO database version 2
    2020
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    This document presents the results of a validation of the version-2 of the WaPOR database, produced by the FRAME consortium partners, eLEAF and VITO. The report summarises the work done by the validation partner (ITC-UTwente) to assess the quality of the new V2 core data components, currently used to estimate and derive agricultural water productivity for Africa and the Near East. WaPOR represents a comprehensive open access data portal that provides information on biomass productivity (with focus on food and agriculture production) and evapotranspiration (evaporative losses and water use) for Africa and the Near East in near real time covering the period from 1 January 2009 to date. WaPOR offers continuous data on a 10-day average basis across Africa and the Near East at three spatial resolutions. The continental level-1 data (250m) cover entire Africa and the Near East (L1). The national level-2 (100m) data cover 21 countries and four river basins (L2). The third level-3 data (30m) cover eight irrigation areas (L3). The quality assessment focused on the core data of the WaPOR database i.e., the evaporative loss components: plant transpiration (T), soil evaporation (E) and interception (I) combined in ETI, the net primary productivity – NPP, the total (TBP) and above ground biomass productivity (AGBP) and reference evapotranspiration – RET.
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    Book (stand-alone)
    WaPOR Database methodology: Level 3 data
    Using remote sensing in support of solutions to reduce agricultural water productivity gaps
    2019
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    This documents describes the methodology applied for producing the WaPOR database at sub-national level (Level 3, 30 m resolution). WaPOR is the FAO portal to monitor Water Productivity through Open access of Remotely sensed derived data, and it monitors and reports on agriculture water productivity over Africa and the Near East through a dedicated online portal: http://www.fao.org/in-action/remote-sensing-for-water-productivity/wapor/en/ The aim of this document is to provide the theory that underlies the methods used to produce the different data components published through WaPOR. This document complements the methodology behind Level 1 and 2 data, published in September and October 2018 respectively, with Level 3 methodology.

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