 The paper proposes a new approach for soil moisture mapping in agricultural areas at a high spatial resolution. It uses radar and optical data to estimate soil moisture levels. The authors tested three different configurations of synthetic aperture radar, SAR, including VV, VH, and both VV and VH polarizations in combination with near-infrared visible imagery, NERVY. They also used a priori information about the soil moisture conditions to improve the accuracy of the estimates. The results showed that VV alone provided better accuracy than VH alone, while the use of both VV and VH provided similar results. Additionally, the use of both polarizations provided better results than VV or VH alone. Finally, the authors found that the best results were achieved when the surface roughness was between 1 to 3 centimeters, and the NDVI was less than 0.75. This article was authored by Muhammad El-Hajj, Nicholas Baghdadi, Merez Sribi, and others.