In this work, X and C band images acquired by COSMO-SkyMed (CSK) and Sentinel-1 (S1), respectively, on alpine environment have been compared for investigating snow characteristics. The specific capabilities of each sensor, involving also optical sensors (i. e., Landsat and Sentinel-2 satellites), have been exploited. Dense Media Radiative Transfer theory, with quasi-crystalline approximation (DMRT-QCA) was also considered, in order to simulate the snow feature behavior at X-band. Preliminary results show that the assimilation of different sensors returns more detailed information about the snow parameters in terms of spatial detail and physical parameter description.
['Simonetta Paloscia', 'Simone Pettinato', 'Emanuele Santi', 'Enrico Palchetti']
Sentinel-1 and COSMO-SkyMed image comparison on alpine environment for snow feature investigation