Snowpack Characterization in Mountainous Regions Using C-Band SAR Data and a Meteorological Model

被引:45
作者
Longepe, Nicolas [1 ]
Allain, Sophie [1 ]
Ferro-Famil, Laurent [1 ]
Pottier, Eric [1 ]
Durand, Yves [2 ]
机构
[1] Univ Rennes 1, Inst Elect & Telecommun Rennes, F-35042 Rennes, France
[2] Ctr Etud Neige, F-38406 St Martin Dheres, France
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2009年 / 47卷 / 02期
关键词
Remote sensing; snow; synthetic aperture radar (SAR); SIR-C/X-SAR; MICROWAVE EMISSION; BACKSCATTERING; RETRIEVAL;
D O I
10.1109/TGRS.2008.2006048
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
This paper presents a method to characterize snow cover in mountainous regions using dual-polarization C-band synthetic aperture radar (SAR) data. It is demonstrated that an accurate modeling of the liquid water distribution inside the snowpack, using a multilayer meteorological snow model, is required to characterize snow with precision. A multilayer-snow electromagnetic (EM) backscattering model is developed based on the vector radiative transfer, the strong fluctuation theory, and physical parameters supplied by the meteorological model. However, the limited resolution of the meteorological snow model is insufficient fair predicting a refined EM backscattering at a massif scale. An adequate spatial reorganization of these snow profiles, based on a comparison between simulated and measured dual-polarization SAR data, leads to a better estimation of some snowpack parameters. In particular, the monitoring of snow liquid water content is presented improving the capacity of wet snow mapping as compared to a classical SAR-based method. This methodology shows good capacities both for qualitative and quantitative snow assessments, opening the way for a new operational method.
引用
收藏
页码:406 / 418
页数:13
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