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17 March 2003 Comparison of relative errors in snow maps in North America and Eurasia in 2001-2002
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Results of this investigation confirm previous results by several other authors that correspondence between the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Scanning Sensor Microwave Instrument (SSMI) - derived snow maps improves as the winter progresses. Early in the season, the SSMI snow mapping algorithms are unable to identify shallow and wet snow as snow cover, while the MODIS snow maps perform well under those circumstances, but cannot map snow through clouds and cannot provide estimates of SWE. By mid winter when the snowpack is deeper, temperatures are colder, and liquid water in the snowpack is minimal, the agreement between MODIS- and SSMI-derived snow maps improves. For North America, the difference between MODIS and SSMI was approximately 35% for early December but averaged about 5% for the maps examined in February of 2002, and for Eurasia (eastern Asia), the difference between the MODIS and SSMI maps was less than about 10% in early January of 2001.
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James L. Foster, Dorothy K. Hall, R. E. J. Kelly, Alfred T. C. Chang, and J. Y. L. Chien "Comparison of relative errors in snow maps in North America and Eurasia in 2001-2002", Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003);

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