Snow wetness monitoring using multi-temporal polarimetric ASAR data and multi-layer hybrid model

被引：2
|
作者：
Longepe, Nicolas [1 ]
Allain, Sophie [1 ]
Pottier, Eric [1 ]
机构：
[1] Univ Rennes 1, IETR Lab, SAPHIR Team, F-35042 Rennes, France
来源：
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET | 2007年
关键词：
D O I：
10.1109/IGARSS.2007.4423388
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a method to characterize snow cover using multi-temporal dual polarization ASAR/ENVISAT data. At first, variations of electromagnetic backscattering of snowpack depending on melting are explained and validated by a multi-layer model. It is demonstrated that it is crucial to exactly model the distribution of Liquid Water Content inside snow pack in C-band. Consequently, a new mapping algorithm based on the French weather model CROCUS is proposed in order to estimate the spatial variability of layered snowpack profile.
引用
收藏
页码：2644 / 2647
页数：4
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