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Book (stand-alone)WaPOR quality assessment
Technical report on the data quality of the WaPOR FAO database version 1.0
2019Also available in:
No results found.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. -
Book (stand-alone)WaPOR database methodology
Version 2 release, April 2020
2020Also available in:
No results found.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. -
Book (stand-alone)WaPOR Database methodology: Level 3 data
Using remote sensing in support of solutions to reduce agricultural water productivity gaps
2019Also available in:
No results found.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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