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Temporal snowpack density mapping using C-band multi-polarization ASAR data

DSpace at IIT Bombay

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Title Temporal snowpack density mapping using C-band multi-polarization ASAR data
 
Creator SINGH, G
VENKATARAMAN, G
YAMAGUCHI, Y
PARK, SE
 
Subject remote sensing
image processing
inversion algorithm
snow density
 
Description Radar remote sensing has great potential to determine the extent and properties of snow cover. Availability of space-borne sensor dual-polarization C-band data of ENVISAT-ASAR can enhance the accuracy in measurement of snow physical parameters as compared to single polarization data measurement. This study shows the capability of C-band SAR data for estimating dry snow density over snow covered rugged terrain in Himalayan region. The snow density is an important parameter for the snow hydrology and avalanche forecasting related studies. An algorithm has been developed for estimating snow density, based on snow volume scattering and snow-ground scattering components. The radar backscattering coefficients of both HH and VV polarization and incidence angle are used as inputs in the algorithm to provide the snow dielectric constant which can be used to derive snow density using Looyenga's, semi empirical formula. Comparison was made between snow density estimated from algorithm using ENVISAT-ASAR HH and HH polarization data and the measured field value. The mean absolute error between estimated and measured snow density was found to be 24.38 kg/m(3).
 
Publisher IEEE
 
Date 2011-10-24T20:22:20Z
2011-12-15T09:11:44Z
2011-10-24T20:22:20Z
2011-12-15T09:11:44Z
2010
 
Type Proceedings Paper
 
Identifier 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM,1784-1787
978-1-4244-9566-5
http://dx.doi.org/10.1109/IGARSS.2010.5648941
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15514
http://hdl.handle.net/100/2253
 
Source IEEE International Geoscience and Remote Sensing Symposium,Honolulu, HI,JUN 25-30, 2010
 
Language English