SAR imaging systems provide large-scale and high-resolution imaging capabilities, independently of day–night and weather conditions. A conventional SAR projects a 3D reflectivity map on a 2D plane. This projection from 3D to 2D space induces some effects like layover and foreshortening [1]. For some applications like urban area and natural environment monitoring, 2D SAR imaging comes to be of a limited interest by omitting the description of the vertical structure of the observed scene. This limitation is a serious shortcoming for the special case of snow cover monitoring applications, like hazard forecasting, water resource management, and climate change monitoring. Indeed, for these applications, an accurate description of the vertical structure of the snow cover is of great interest [2]. Many works have addressed the problem of