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International Water Management Institute

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Agriculture consumes the largest share of freshwater globally, therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. Yet in Africa, disaggregating croplands is challenging due to the continent's vast size, diverse climates, and varied agricultural practices. In this study, a framework using the Budyko model was applied to differentiate between rainfed and irrigated cropland areas in Africa for eight remote sensing landcover products and a high confidence cropland map (HCCM). The approach outlined in this research expands on the suite of remote sensing landcover products that can be used for agricultural water studies in Africa by enabling...
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This dataset, VegDischarge v1, represents a significant contribution to the understanding of hydrological dynamics across Africa from 2000 to 2021. It encompasses high-resolution (1km x 1km) monthly raster data of deep drainage, surface runoff, and total runoff, derived from the VegET (VegetationEvapoTranspiration) hydrological model (Senay et al., 2023). Additionally, routed discharge data (Mizukami et al., 2021) for over 63,000 river segments is provided, employing different routing algorithms (DW, KW, KWT, MC, and IRF) to demonstrate variability in river discharge patterns. This comprehensive dataset is stored in NetCDF and Shapefile formats, offering valuable insights for policymakers, stakeholders, and researchers...
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