Journal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
Volume 38, Issue 1, Pages 316-320Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/36.823925
Keywords
RADARSAT; synthetic aperture radar (SAR); wet snow
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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).
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