DRY SNOW BACKSCATTERING SENSITIVITY ON DENSITY CHANGE FOR SWE ESTIMATION

被引:11
作者
Besic, N. [1 ]
Vasile, G. [1 ]
Chanussot, J. [1 ]
Stankovic, S.
Dedieu, J. -P.
d'Urso, G.
Boldo, D.
Ovarlez, J. -P.
机构
[1] CNRS Grenoble INP, GIPSA Lab, Grenoble, France
来源
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年
关键词
SAR; backscattering; SWE; sensitivity; snow density; SIR-C/X-SAR;
D O I
10.1109/IGARSS.2012.6350393
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 provides comprehensive analysis of the dry snow pack backscattering coefficient dependence on the density change, for various SAR sensor parameters and chosen dry snow pack parameters, characteristic for the region of French Alps. As the result, qualitative conclusions, based on applying fundamental scattering theories (Rayleigh scattering model, Quasi Crystalline Approximation, Integral Equation Model) on the particular distributed target are presented. They represent the ground for semi-empirical models, which may provide a satisfactory link between backscattering coefficient and snow density (as one of the quantities defining SWE), as well as the guidelines for the further radar acquisitions over the Alpine region in France.
引用
收藏
页码:4418 / 4421
页数:4
相关论文
共 6 条
[1]  
Ao C. O., 2001, THESIS MIT
[2]  
Fung AK, 2010, ARTECH HSE REMOTE SE, P1
[3]   Snowpack Characterization in Mountainous Regions Using C-Band SAR Data and a Meteorological Model [J].
Longepe, Nicolas ;
Allain, Sophie ;
Ferro-Famil, Laurent ;
Pottier, Eric ;
Durand, Yves .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2009, 47 (02) :406-418
[4]  
Rees W.G., 2006, REMOTE SENSING SNOW, DOI https://doi.org/10.1201/9780367801069
[5]   Estimation of snow water equivalence using SIR-C/X-SAR, part II: Inferring snow depth and particle size [J].
Shi, JC ;
Dozier, J .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2000, 38 (06) :2475-2488
[6]  
Shi JC, 2000, IEEE T GEOSCI REMOTE, V38, P2465, DOI 10.1109/36.885195