Potential and limitations of RADARSAT SAR data for wet snow monitoring

被引：26

作者：

Baghdadi, N ^{[1
]}

Gauthier, Y ^{[1
]}

Bernier, M ^{[1
]}

Fortin, JP ^{[1
]}

机构：

[1] Univ Quebec, Inst Natl Rech Sci, EAU, St Foy, PQ G1V 4C7, Canada

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2000年 / 38卷 / 01期

关键词：

RADARSAT; synthetic aperture radar (SAR); wet snow;

D O I：

10.1109/36.823925

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：

Based on Canadian Satellite (RADARSAT) synthetic aperture radar (SAR) images and simulations from a radar-backscattering model, we determined that conventional wet snow-mapping algorithms should perform optimally for a snowpack with a liquid-water content greater than or equal to 3%, at low incidence angle (theta = 20-30 degrees) and for a rather smooth surface(rms height less than or equal to 2.1 mm).

引用

页码：316 / 320

页数：5

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