Abstract
Abstract The capabilities of optical and microwave satellite remote sensing for snow cover monitoring and forecasting snowmelt run-off are critically evaluated in this paper in order to improve the utilization of water resources from high mountainous catchments in the Italian Alps. Integration of snow cover data derived from visible and infrared satellite sensors is made with ground meteorological and hydrological information for three elevation zones of the Cordevole river basin of Alpine arch in eastern part of Italy. Digital image processing of nine sets of Landsat Multi-spectral Scanner System and Thematic Mapper computer compatible tapes (CCTs) representing a hydrological year have been made. Digital elevation model, slope and hill shading maps were generated and used in the study. The snow cover estimated using supervised maximum likelihood classification algorithm was observed to fit well for the Cordevole river basin model study when compared to the parallelepiped and minimum distance methods of c...
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