Use of multi parametric Synthetic Aperture Radar (SAR) and/or SAR Polarimetry, SAR Tomography and SAR Interferometry in Forestry and Ecology with special emphasis on FORESTRY: Forest species discrimination in mixed forest scenario and forest biophysical parameters retrieval
Implementing Organization
Indian Institute of Technology (Indore)
Principal Investigator
Dr. Unmesh Khati
Assistant Professor
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Indian Institute of Technology (Indore)
Dept. of Astronomy Astrophysics and Space Engineering
CO-Principal Investigator
Dr. Hari Shanker
Indian Institute of Remote Sensing, ISRO, Dehradun, Uttarakhand
Project Overview
The project aims to develop algorithms for above ground biomass estimation using time -series backscatter and coherence datasets and to identify Potential of techniques to relate tomographic SAR products to forest biomass.
Further, it is planned to develop algorithms for deforestation detection using time series SAR data and their limitations and generate Forest type classification framework using multi-parametric SAR data.
Understanding the impact of terrain slopes on Forest AGB retreival accuracy will also be attempted.
Indian Institute of Technology (Indore)
Assistant Professor
Dept. of Astronomy Astrophysics and Space Engineering
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