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Session 1.2 Crop Water Productivity: A new methodological approach & tools tailored to local conditions

Building Forward Better Initiative - Project “Strengthening natural resources management capacities to revitalise agriculture in fragile contexts”







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    Review of the available remote sensing tools, products, methodologies and data to improve crop production forecasts 2017
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    Timely and reliable agricultural production forecasts are critical to make informed food policy decisions and to enable rapid responses to emerging food shortfalls. Agricultural forecasts are increasingly important in national planning in sub-Saharan Africa (SSA) due to highly variable yield, production and consumption trends, which are in turn occasioned by high climate variability and change, rapidly increasing populations, and limited financial capacity to cope with frequent food insecurity c rises. This review examines the current status of the remote sensing (RS) tools, products, methodologies and data that can help to improve agricultural crop production forecasting systems. The review is structured in three parts: A description of the methodology used for this review; A literature review that covers four core areas, namely: an overview of the application of RS in crop production forecasting; the RS methodologies currently used in crop production forecasting; insight into the avai lable geoportals and RS data and products on crop production forecasting; and an analysis of the national agencies mandated to generate crop production statistics in the three pilot countries of Kenya, Senegal and Zimbabwe; A discussion on the key findings and the conclusions.
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    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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