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Water productivity analyses using WaPOR

The case of sugarcane










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    Brochure, flyer, fact-sheet
    WaPOR for monitoring agriculture in conflict areas 2020
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    Agricultural data occupies a central place in how our food systems are presently managed as well as the resources linked to them such as water or other inputs. In light of that, their collection has to be well distributed both spatially and temporally. Spatially so as to have a complete understanding of the area of interest and temporally, so as to build a database of historical data that allows trends to be identified and changes to be quantified. Unfortunately, in periods of conflict, the mechanisms for collecting agricultural data can be disrupted as it might be too unsafe for data to be collected in-situ, or crucial data-collecting infrastructure might be damaged. In such cases, remote sensing data (or earth observations data) can constitute a viable data source to turn to as an alternative or a complement. This case study explores the use of WaPOR data to monitor agricultural activity in conflict areas by focusing on the use of WaPOR data in Syria.
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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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    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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