Synthetic Aperture Radar sensors are very sensitive to changes in soil moisture and surface roughness, making SAR useful for characterizing long-term post-fire patterns/trends. The present study has analyzed and quantified forest burnt areas of selected fire prone ecosystems i.e. Nallamalais of Andhra Pradesh and Part of Tripura, India. RISAT-1 data pertaining to pre and post fire were utilized. Encouraging results are obtained based on backscattering coefficient for pre and post fires events in two study areas.