Development of an algorithm for estimating snow hydrological parameters in wet snow regions using combined C- and L-band satellite-based SAR data

Develops an algorithm for estimating snow parameter distributions using synthetic aperture radar (SAR) images. The study area is a part of the Hokuriku District of Japan that is well known for having wet snow from the beginning of the winter season. We develop an algorithm to estimate snow density and roughness distributions using RADARSAT images acquired in February. Furthermore, we show the possibility of inferring snow depths from combined parameters estimated with an L-band SAR image.