Eurasian Journal of Soil Science

Yazarlar: Rida KHELLOUK, Ahmed BARAKAT, Aafaf EL JAZOULİ, Hayat LİONBOUİ, Tarik BENABDELOUAHAB

Konular:Fen

DOI:10.18393/ejss.926813

Anahtar Kelimeler:Remote sensing,Soil moisture,Sentinel-1B,Sentinel-2B,WCM,SAR,Agricultural areas

Özet: 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.

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