DocumentCode :
143473
Title :
Snow wetness estimation from dual polarimetric coherent TerraSAR-X data
Author :
Bhattacharya, A. ; Surendar, M. ; De, S. ; Venkataraman, G. ; Singh, G.
Author_Institution :
Centre of Studies in Resources Eng., Indian Inst. of Technol., Mumbai, Mumbai, India
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2766
Lastpage :
2769
Abstract :
In this paper, a new snow wetness estimation methodology is proposed for dual-coherent polarimetric Synthetic Aperture Radar (SAR) data. Surface and volume are the dominant scattering components in the wet-snow conditions. These components, with a limit of penetration depth of high frequency SAR, have been taken into account to estimate the snow-pack wetness. In this new methodology, snow surface wetness has been estimated using the IEM scattering model and snow volume wetness has been estimated under the Rayleigh scattering assumption. The estimated snow wetness is validated using the in-situ field measurements, which were collected synchronous with the satellite pass. In this study we have used dual-coherent TerraSAR-X data acquired over Solang, on 23 January 2009, Himachal Pradesh, India. Typically the snow wetness ranges from 0% to 15% by volume. On comparison with ground measurements, the proposed method shows that the mean absolute error in snow wetness inferred from the SAR imagery was 1.63% by volume.
Keywords :
hydrological techniques; radar imaging; radar polarimetry; remote sensing by radar; snow; synthetic aperture radar; AD 2009 01 23; Himachal Pradesh; IEM scattering model; India; Rayleigh scattering; SAR imagery; Solang; dual polarimetric coherent Terrasar-x data; dual-coherent TerraSAR-X data; dual-coherent polarimetric synthetic aperture radar data; ground measurements; in-situ field measurements; mean absolute error; penetration depth; scattering components; snow surface; snow volume; snow wetness estimation; snow-pack wetness; wet-snow conditions; Dielectric constant; Estimation; Rough surfaces; Scattering; Snow; Surface roughness; Synthetic aperture radar; Dual-Coherent; Particle-Anisotropy; PolSAR; SAR; Snow wetness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947049
Filename :
6947049
Link To Document :
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