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Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts










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    Book (series)
    Mid-term evaluation of the project "Monitoring water productivity by remote sensing as a tool to assess possibilities to reduce water productivity gaps
    Project code: GCP/INT/229/NET
    2020
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    While population growth and economic development are putting unprecedented pressure on renewable, but finite water resources, especially in arid regions, scarce land and water resources are affecting food security and sustainable water management. FAO identified the need to implement a digital database built upon remote sensing and information technologies that can monitor and report on agricultural water productivity over Africa and Near East, accessible through the FAO Water Productivity through Open access of Remotely sensed derived data portal (WaPOR). The WaPOR database is now operational at continental level (all African and Near East countries covered by the 250 m spatial resolution data), national level (two beneficiary countries can access the WaPOR database at 100 m resolution) and subnational level with a spatial resolution of about 30 m, so far including eight areas of interest (river basins or irrigation schemes). Water Accounting Plus (WA+) reports based on remote sensing have been completed for three river basins as planned (Litani in Lebanon, Awash in Ethiopia and Jordan basin). An action framework at national level for capacity building and participatory decision making is currently being developed to make effective a “demand-driven” approach based on national and local needs.
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    Book (stand-alone)
    Groundwater search by remote sensing: A methodological approach 2003
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    In the framework of the technical assistance provided to the Groundwater Unit (GWU) of the FAO-implemented IRAQ/SCR/986 "Three-year Agricultural Programme" for the three Iraqi Northern Governorates, a comprehensive remote sensing/GIS methodology was developed to identify potential sites for groundwater exploitation. The approach used in the study was a development of the traditional standard sequence of drainage, landforms, cover and lineaments analyses, to which several improvements and addit ions were made, such as: (1) all data were in digital format and stored in a geo-database as GIS layers; (2) all analyses and interpretations were performed directly from the computer screen; (3) on the basis of a previous positive experience, thermal lineaments analysis was performed; (4) a comprehensive geo-database was created including all GIS layers which were considered of interest for the study; (5) by using the potentiality of GIS software, which allows stacking of georeferenced data f or comparison and integration and data query for subsetting the needed information, selected layers of the database were superimposed on the Landsat image kept as background and a logical series of observations was made, leading to a well-substantiated set of interpretation assumptions. The creation of a GIS database, including the data format and entry, is a time-consuming and laborious exercise, as high accuracy is definitely mandatory. However, once the database is complete, interpretation of features leading to selection of promising sites for groundwater search is carried out easily and quickly. This as a result of data availability of all needed information in a GIS environment. Thirty test areas, selected by the field team, were investigated and 198 promising sites were identified for further ground survey and subsequent drilling.

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