The integration of remote sensing and socio-economic data is crucial for policy making in regions suffering from water scarcity and climate change. This paper presents a framework that combines remotely sensed estimates of biomass and water use from FAO’s Water Productivity Open-access portal (WaPOR) (V2) with an ensemble of calibrated mathematical programming models to assess the impact of water reallocations on rain-fed and irrigated land use and production in water-stressed basins.
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