Accurate estimation of evapotranspiration (ET) is of crucial importance in water science and hydrological process understanding especially in semi-arid/arid areas since ET represents more than 85% of the total water budget. Multisource remote sensing data is a powerful tool to characterize and constrain the surface. Especially remotely sensed soil moisture (SM) and Land surface temperature (LST) data when used simultaneously can improve substantially ET estimates when using either physically based models or empirical ones. In this presentation we will provide results of the above approach using FAO-56 dual source and Soil Vegetation Atmosphere Transfer (SVAT) Models over semi-arid zones Near Marrakech Morocco. A special attention will be dedicated to how this approach improves the partition of ET into Evaporation and transpiration.
1. Dr. Abdelghani Chehbouni
Remote Sensing and Land-Surface Interaction in Dryland
Mohammed VI Polytechnic University, Morocco
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