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14 December 2006Snow wetness estimation in Himalayan snow covered regions using ENVISAT-ASAR data
The snow wetness in the Himalayan snow covered region is an important parameter, for the snow melt runoff modeling
and forecasting. The main objective of the study is to estimate snow wetness in parts of Himalayan snow covered
regions. Snow surface backscattering can expressed as function of permittivity of snow. Reflectivity at the air snow
interface increases greatly with wetness and volume scattering decreases abruptly. ENIVISAT-ASAR dual polarization
(HH and VV) data have been used to investigate permittivity and snow wetness in sub Himalayan region. Raw data have
been processed for backscattering coefficient (BSC) image generation for HH and VV polarization. BSC image is georeferenced
and topographically corrected using high precision digital elevation model (DEM). The BSC images are
despeckled using adaptive filter technique. For this study Physical optics Model (POM) for surface scattering based
inversion model has been used. Physical Optics Model based inversion model gives the permittivity which can be further
related for estimating snow wetness. A comparison was done between inversion model estimated snow wetness and field
values of snow wetness in the study region. Comparison with field measurement showed that the correlation coefficient
for snow wetness estimated from ASAR data was 0.8 at 95% confidence interval. The snow wetness ranges from
0-15% by volume.
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Gulab Singh, Vijay Kumar, Kishor Mohite, G. Venkatraman, Y. S. Rao, . Snehmani, "Snow wetness estimation in Himalayan snow covered regions using ENVISAT-ASAR data," Proc. SPIE 6410, Microwave Remote Sensing of the Atmosphere and Environment V, 641008 (14 December 2006); https://doi.org/10.1117/12.693690