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Proceedings Paper

PolInSAR tomography for vertical profile retrieval of forest vegetation using spaceborne SAR data
Author(s): Sushil Kumar Joshi; Shashi Kumar; Shefali Agrawal; Ho Tong Minh Dinh
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Paper Abstract

Forest height plays a crucial role to investigate the bio-physical parameters of forest and the terrestrial carbon. PolInSAR based inversion modeling has been successfully implemented on airborne and space-borne SAR data. SAR tomography, which is an extension of cross-track interferometric processing is a recent approach to separate scatterers in cross range direction, thus generates its vertical profile. This study highlighted the potential of tomographic processing of fully polarimetric Radarsat-2 SAR system to retrieve backscatter power at different height levels. Teak forest in Haldwani forest division of Uttarakhand state of India was chosen as the test site. Since SAR tomography is a spectral estimation problem, Fourier transform and beamforming based spectral estimations were applied on the dataset to obtain their vertical profiles. Fourier severely suffered from high side lobes which was drastically reduced by implementing beam-forming by taking into account the multi-looking effect at the expense of radiometric accuracy. Backscattered power values were found to be different at different height levels of the forest vegetation. Vertical profile for Fourier as well as beam-forming were also retrieved.

Paper Details

Date Published: 11 May 2016
PDF: 10 pages
Proc. SPIE 9877, Land Surface and Cryosphere Remote Sensing III, 987709 (11 May 2016); doi: 10.1117/12.2228068
Show Author Affiliations
Sushil Kumar Joshi, Indian Institute of Remote Sensing (India)
Shashi Kumar, Indian Institute of Remote Sensing (India)
Shefali Agrawal, Indian Institute of Remote Sensing (India)
Ho Tong Minh Dinh, National Research Institute of Science and Technology for Environment and Agriculture (France)

Published in SPIE Proceedings Vol. 9877:
Land Surface and Cryosphere Remote Sensing III
Reza Khanbilvardi; Ashwagosh Ganju; A. S. Rajawat; Jing M. Chen, Editor(s)

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