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Abstract:
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Much of the world's water supply comes from snowpack in mountainous regions where direct measurements are spatially sparse, nonexistent, or plagued with data quality problems. Estimation of snowpack is critical for water resource planning and management. Moreover, it is of climatological interest to understand and quantify low frequency changes in snowpack at the decadal scale. This poster highlights a statistical method to combine MODIS and LandSat-based estimates of snow cover to produce high resolution (30 m) daily estimates of snow cover over major mountain chains throughout the globe.
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