Salah Er-Raki holds a PhD in agricultural water management from the Cadi Ayyad University. He was actually Assistant Professor at the Faculty of Sciences and Techniques, Cadi Ayyad University. His main research interests include the application of remotely sensed data in land-surface atmosphere models especially in arid semi-arid regions. He worked in several Funded European research projects (SUDMED, WATERMED, IRRIMED, Pleiades). He is an author and co-author of more than 35 per review publications and more than 100 papers in conferences and workshops. He serves also as an editorial board member and reviewer of several international scientific journals.


Regions classified as semi-arid or arid constitute roughly one third of the total global land cover. In these regions, water consumption has significantly increased over the last decades, while available water resources are becoming increasingly scarce. Water scarcity is one of the main factors limiting agricultural development and yield. The impact of such water scarcity is amplified by inefficient irrigation practices, especially since the irrigation consumes more than 85% of the available water in these regions. Therefore, the first step toward sound management of the scarce water resources in these regions requires an accurate estimation of the water needs and consumption of irrigated agriculture. The crop water need is defined as the amount of water needed to meet the amount of water lost to the atmosphere through evapotranspiration.
Over the last decades, several techniques and models have been developed for measuring and estimating crop evapotranspiration (ET). However, these methods estimate ET only at local scale. For regional application, satellite remote sensing data have been widely used to initialize, to force or to control hydrological model simulations and so to estimate spatial ET.
This work, which is part of the activities of the SudMed program ( ) and the International Joint Laboratory TREMA (, aims to estimate ET by using a synergy approach combining in situ measurements, modeling and remote sensing data. Current applications of this approach in the semi-arid region of Tensift Al Haouz (center of Morocco) have been presented.