1 July 2007 Snow porosity estimation using advanced synthetic aperture radar single look complex data analysis and its effects on backscattering coefficient
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J. of Applied Remote Sensing, 1(1), 013522 (2007). doi:10.1117/1.2771253
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.
Gulab Singh, Vijay Kumar, Gopalan Vekataraman, Yalamanchili Subrahmanyewara Rao, Sneh Mani, "Snow porosity estimation using advanced synthetic aperture radar single look complex data analysis and its effects on backscattering coefficient," Journal of Applied Remote Sensing 1(1), 013522 (1 July 2007). http://dx.doi.org/10.1117/1.2771253
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KEYWORDS
Backscatter

Synthetic aperture radar

Radar

Scattering

Sensors

Satellites

Stanford Linear Collider

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