EJSSEurasian Journal of Soil ScienceEurasian J Soil Sci2147 - 4249Federation of Eurasian Soil Science Societieshttp://ejss.fesss.org/10.18393/ejss.92681310.18393/ejss.926813Assessment of Water Cloud Model based on SAR and optical satellite data for surface soil moisture retrievals over agricultural areaRida Khellouk rkhellouk@gmail.comAhmed Barakat Aafaf El Jazouli Hayat Lionboui Tarik Benabdelouahab 103243-2502020-08-262021-04-182021-04-232021-07-01 Copyright © 2016 The authors and Federation of Eurasian Soil Science Societies Water availability to plants a significant role in agricultural areas, especially in arid and semi-arid areas. This research aimed to evaluate the potential of Water Cloud Model (WCM) for retrieving surface soil moisture, which is associated to water availability, in a semi-arid areas based on the combination between Sentinel-1B SAR (Synthetic Aperture Radar) and optical Sentinel-2B data. The performance of the applied model was assessed using ground observed soil moisture (0-5 cm). Accuracy evaluation was performed by the cross-validation method (k-fold), it showed a coefficients of determination (R2) of 0.65 and RMSE of 1.45%. The obtained results show a good concordance between retrieved model and ground observed surface soil moisture. In addition, this model was used for the mapping spatio-temporal variation of soil moisture at high spatial resolution in the study areas. This approach could be used by environmentalists and decision-makers as a practical tool for monitoring and estimating the change of surface moisture content. Remote sensing, Soil moisture, Sentinel-1B, Sentinel-2B, WCM, SAR, agricultural areas.