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

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Title Snow porosity estimation using advanced synthetic aperture radar single look complex data analysis and its effects on backscattering coefficient
 
Creator SINGH, G
KUMAR, V
VENKATARAMAN, G
RAO, YS
MANI, S
 
Subject sir-c/x-sar
surface
radar backscattering coefficient
polarization
snow porosity
envisat-asar
 
Description 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.
 
Publisher SPIE-SOC PHOTOPTICAL INSTRUMENTATION ENGINEERS
 
Date 2011-08-29T08:06:31Z
2011-12-26T12:58:30Z
2011-12-27T05:48:33Z
2011-08-29T08:06:31Z
2011-12-26T12:58:30Z
2011-12-27T05:48:33Z
2007
 
Type Article
 
Identifier JOURNAL OF APPLIED REMOTE SENSING, 1(), -
1931-3195
http://dx.doi.org/10.1117/1.2771253
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12022
http://hdl.handle.net/10054/12022
 
Language en