Assessment of seasonal variations of radar backscattering coefficient using sentinel-1 data

Synthetic Aperture Radar (SAR) systems are effective tools for many remote sensing applications. In particular, the modeling of the backscatter coefficient under various conditions is of interest in many scientific fields. Seasonal changes can have a considerable effect on the values of the reflectivity of a target, therefore these variations should be estimated to improve the accuracy of the models. In this paper a statistical analysis of radar backscatter coefficient seasonal variations using C-band SAR data is presented