Title :
Potential and limitations of RADARSAT SAR data for wet snow monitoring
Author :
Baghdadi, Néhmé ; Gauthier, Yves ; Bernier, Monique ; Fortin, Jean-Pierre
Author_Institution :
Inst. Nat. de la Recherche Sci., Quebec Univ., Sainte-Foy, Que., Canada
fDate :
1/1/2000 12:00:00 AM
Abstract :
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)
Keywords :
backscatter; hydrological techniques; radar cross-sections; radar theory; remote sensing by radar; snow; spaceborne radar; synthetic aperture radar; terrain mapping; RADARSAT; SAR; algorithm; hydrology; limitation; liquid-water content; low incidence angle; measurement technique; radar remote sensing; radar scattering; radar-backscattering model; simulation; smooth surface; snow cover; snowcover; snowpack; spaceborne radar; synthetic aperture radar; terrain mapping; wet snow; Backscatter; Calibration; Data analysis; Geometry; Monitoring; Satellites; Snow; Soil; Synthetic aperture radar; Terrain mapping;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
