Abstract
Surface snow cover is able to be detected within the spectral and thermal wavelengths by a range of satellite sensors and the area and frequency of observation is a function of both spatial and temporal resolution. The Landsat, NOAA and GOES satellite are primarily employed for routine snow mapping, although each sensor has specific limitations. Snow observation is inhibited by sensor saturation problems, and also cloud cover which both obscures the snow surface and exhibits some spectral overlap with snow. A number of developed techniques allow snow/cloud discrimination, with varying degrees of success, although the most promising of these include the middle infrared (1.6 μm) channel in the analysis. The close correspondence of the distribution of snow cover with terrain has also enabled the interpolation of snow cover into cloud obscured regions. Shadows from terrain generally confuse the location of snow covered pixels and procedures correcting for the variation in illumination have been generated. Veg...
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