Journal
PHYSICS AND CHEMISTRY OF THE EARTH
Volume 83-84, Issue -, Pages 156-165Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.pce.2015.07.001
Keywords
SAR; Polarimetry; Decomposition; Dielectric; Snow density
Ask authors/readers for more resources
In this paper, a new snow density estimation methodology is proposed for full-polarimetric Synthetic Aperture Radar (SAR) data. The generalized four component polarimetric decomposition with unitary transformation (G4U) based generalized volume parameter is utilized to invert snowpack dielectric constant using the Fresnel transmission coefficients. The snow density is then estimated using an empirical relationship. Six Radarsat-2 fine resolution full-polarimetric C-band datasets were acquired over Himachal Pradesh, India. The near-real time in-situ measurements were collected with the satellite pass to validate the proposed method. The mean absolute error (MAE) of the proposed method is 0.027 g cm(-3) and the root mean square error (RMSE) is 0.032 g cm(-3). The snow density variation within a season were also analyzed using multi-temporal Radarsat-2 data. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available