P. Jayasri, C. Reddy, M. Joseph, H.S.V. Usha Sundari, E. S. Kumari, A. Prasad
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A case study on utilization of RISAT-1 SAR data for forest burnt area detection in India
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.
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