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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/12022

Title: Snow porosity estimation using advanced synthetic aperture radar single look complex data analysis and its effects on backscattering coefficient
Authors: SINGH, G
KUMAR, V
VENKATARAMAN, G
RAO, YS
MANI, S
Keywords: sir-c/x-sar
surface
Issue Date: 2007
Publisher: SPIE-SOC PHOTOPTICAL INSTRUMENTATION ENGINEERS
Citation: JOURNAL OF APPLIED REMOTE SENSING, 1(), -
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.
URI: http://dx.doi.org/10.1117/1.2771253
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12022
http://hdl.handle.net/10054/12022
ISSN: 1931-3195
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