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.
Sentinel-1 and COSMO-SkyMed image comparison on alpine environment for snow feature investigation
Paloscia S;Pettinato S;Santi E;Palchetti E
2016
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.