Informations géospatiales à l’appui de systèmes alimentaires durables

Estimating water loss in Amu Darya River Basin during summer season 2022

Year published: 03/11/2023

Efficient irrigation practices are based on acomprehensiveunderstanding of water lossand water consumption for which the remote–sensed actualevapotranspirationis aproper proxy.By utilizing MODIS remote sensing imagery, actual evapotranspiration data was retrieved, which is a meaningful proxy to estimate water loss from soil. Cropland extent information was collected from ESA WorldCover, a land cover dataset based on Sentinel-1 and Sentinel-2 data. Through the integration of these datasets, a bivariate map with a hexagon grid (cells of 90 square kilometers) showcasing water loss patterns and cropland distribution. This approach contributes valuably to the Afghanistan Emergency Food Security Project's (OSRO/AFG/213/WBK) objectives, aiding in informed irrigation and water management strategies.