 Mapping volcanic flow deposits can be achieved by considering backscattering characteristics as a metric of surface roughness. In this study, we developed an approach to extract a measure of surface roughness from dual-band airborne synthetic aperture radar, ASAR, backscattering data to characterize and map various volcanic flow deposits, namely, debris avalanches, lahars, lava flows, and pyroclastic density currents. We employed ASAR and Indian Space Research Organization, ISRO, airborne SAR data sets. From a joint project, ASAR-ISRO acquired in December 2019 at 2M spatial resolution to assess the role and importance of incorporating dual-band data, L-band and S-band into surface roughness models. Additionally, we derived an analyzed surface roughness from a digital surface model, DSM, generated from unoccupied aircraft systems, UAS, acquisitions using structure from motion, SFM, photogrammetry techniques. These UAS-derived surface roughness outputs served as meter-scale calibration products to validate the radar rough. This article was authored by Nikola Rogik, Sylvain J. Charbonnia, Franco Guerin, and others. We are article.tv, links in the description below.