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

页码：2644 / 2647

页数：4

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