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Potential and limitations of RADARSAT SAR data for wet snow monitoring
2000
IEEE Transactions on Geoscience and Remote Sensing
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 3%, at low incidence angle ( = 20-30 ) and for a rather smooth surface (rms height ≤ 2.1 mm). Index Terms-RADARSAT, synthetic aperture radar (SAR), wet snow.
doi:10.1109/36.823925
fatcat:ycaxe6mikrfrbnedulzp65hnuq