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WaPOR V2 quality assessment

Technical report on the data quality of the WaPOR FAO database version 2










​FAO. 2020. WaPOR V2 quality assessment – Technical Report on the Data Quality of the WaPOR FAO Database version 2. 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 database methodology
    Version 2 release, April 2020
    2020
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    The FAO portal to monitor Water Productivity through Open Access of Remotely sensed derived data (WaPOR) provides, as of today, access to 11 years of continued observations over Africa and the Near East. The portal provides open access to various spatial data layers related to land and water use for agricultural production and allows for direct data queries, time series analyses, area statistics and data download of key variables to estimate water and land productivity gaps in irrigated and rain fed agriculture. WaPOR Version 2 was launched in June 2019 based on extensive internal and external validation and quality assessment. This document describes the methodology used to produce Version 2 of the data at the 250m (Level 1), 100m (Level 2) and 30m (Level 3) resolution distributed through the WaPOR portal.
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    Brochure, flyer, fact-sheet
    Assessing water demand in Kabul River Basin during summer season 2022 2023
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    Better understanding of cropland water demand provides useful guidance for efficient irrigation practices. Potential evapotranspiration can be defined as a proxy of cropland water demand, i.e., the amount of water that can be transferred to the air from land1. Potential evapotranspiration was retrieved from MODIS remote sensing imagery and cropland extent from a land cover dataset based on Sentinel-1 and Sentinel-2 data2,3. A bivariate map with a hexagon grid (cells of 90 square kilometers) is shown to analyze the water demand and the cropland distribution in the Kabul River Basin. The map can help policy-makers and stakeholders to gain valuable insights into the cropland water demand, aiding in effective water resource management and sustainable agriculture practices. This analysis contributes to the objectives of the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK).

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