Monitoring Glacier Changes Using Multi-Temporal Multi-Polarization Sar Images: A Review

Abstract

This paper exhibits a preparing chain for the change recognition of Arctic ice sheets from multi-fleeting multi-polarization manufactured gap radar (SAR) pictures. We produce terrain corrected multi-look complex covariance information by remembering the impacts of geology for both geolocation and SAR radiometry just as azimuth slant minor departure from polarization signature. An unaided relevant non-Gaussian grouping calculation is utilized for the division of every landscape remedy Polari metric SAR picture and in this way marked with the guide of ground-truth information into ice sheet facies. We show the consistency of the division calculation by portraying the normal arbitrary blunder level for various SAR securing conditions. This enables us to decide if a watched variety is measurably critical and, in thinner, can be utilized for the post-characterization change identification of Arctic icy masses. Along these lines, the normal grouped pictures of succeeding years are looked at, and changes are distinguished as the recognized contrasts in the area of limits between ice sheet facies. For current investigations, a progression of double polarization C-band Environmental Satellite (ENVISAT) and Advanced Synthetic Aperture Radar (ASAR) pictures over the Kongsvegen icy mass, Svalbard, is utilized for exhibition.