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Potential and limitations of RADARSAT SAR data for wet snow monitoring

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4 Author(s)
N. Baghdadi ; Inst. Nat. de la Recherche Sci., Quebec Univ., Sainte-Foy, Que., Canada ; Y. Gauthier ; M. Bernier ; J. -P. Fortin

Based on Canadian Satellite (RADARSAT) synthetic aperture radar (SAR) images and simulations from a radar-backscattering model, the authors determined that conventional wet snow-mapping algorithms should perform optimally for a snowpack with a liquid-water content ⩾3%, at low incidence angle (θ=20-30°) and for a rather smooth surface (rms height ⩽2.1 mm)

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IEEE Transactions on Geoscience and Remote Sensing  (Volume:38 ,  Issue: 1 )