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Assessing water demand in Hilmand River Basin during winter season 2021-22

Year of publication 2023

Place of publication Rome, Italy ;

Pages 2p.

Author FAO;

Publisher FAO ;

Product type Project

Synopsis (short abstract) Efficient irrigation practices are based on a comprehensive understanding of water loss and water consumption for which the remote–sensed actual evapotranspiration is a proper 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 1,2. 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.

Language English

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    Assessing water demand in Northern River Basin during winter season 2021-22 2023
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    Efficient irrigation practices are based on a comprehensive understanding of water loss and water consumption for which the remote–sensed actual evapotranspiration is a proper 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 1,2. 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.
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    Assessing water loss in Harirud-Murghab River Basin during winter season 2021-22 2023
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    Efficient irrigation practices are based on a comprehensive understanding of water loss and water consumption for which the remote–sensed actual evapotranspiration is a proper 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 1,2. 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.
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    Brochure, flyer, fact-sheet
    Assessing water demand in Amu Darya River Basin during winter season 2021-22 2023
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    Better understanding of cropland water demand provides useful guidance for efficient irrigation practices. Potential evapotranspiration can be defined as a proxy of cropland water demand, i.e., the amount of water that can be transferred to the air from land 1 . Potential evapotranspiration was retrieved from MODIS remote sensing imagery and cropland extent from a land cover dataset based on Sentinel 1 and Sentinel 2 data 2,3 . A bivariate map with a hexagon grid (cells of 90 square kilometers) is shown to analyze the water demand and the cropland distribution in the Amu Darya River Basin. This analysis contributes to the Afghanistan Emergency Food Security Project (OSRO/AFG/213/WBK).
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