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Journal of Applied Remote Sensing

Snow porosity estimation using advanced synthetic aperture radar single look complex data analysis and its effects on backscattering coefficient
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Paper Abstract

This paper discusses the methodology of Synthetic Aperture Radar (SAR) data analysis for studying snow porosity and its effect on electric property of snow. ENVISAT- Advanced Synthetic Aperture Radar (ASAR) single polarized, single look complex (SLC) data have been processed for backscattering coefficient image generation. Incidence angle image has been extracted from the ASAR header data using interpolation method. These images were multi-looked 5 times in azimuth and 1 time in range direction. ASAR Backscattering coefficient images have been calibrated. The estimation of snow porosity is optimal at different incidence angles. The effect of snow porosity on snow wetness, snow density and backscattering coefficient is studied in detail. The correlation coefficient between estimated and measured porosity is observed to be 0.88 and absolute error was 0.045.

Paper Details

Date Published: 1 July 2007
PDF: 18 pages
J. Appl. Rem. Sens. 1(1) 013522 doi: 10.1117/1.2771253
Published in: Journal of Applied Remote Sensing Volume 1, Issue 1
Show Author Affiliations
Gulab Singh, Indian Institute of Technology Bombay (India)
Vijay Kumar, Indian Institute of Technology Bombay (India)
Gopalan Vekataraman, Indian Institute of Technology Bombay (India)
Yalamanchili Subrahmanyewara Rao, Indian Institute of Technology Bombay (India)
Sneh Mani, Defence R&D Organisation (India)

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