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Proceedings Paper

Comparison of relative errors in snow maps in North America and Eurasia in 2001-2002
Author(s): James L. Foster; Dorothy K. Hall; R. E. J. Kelly; Alfred T. C. Chang; J. Y. L. Chien
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Paper Abstract

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.

Paper Details

Date Published: 17 March 2003
PDF: 11 pages
Proc. SPIE 4879, Remote Sensing for Agriculture, Ecosystems, and Hydrology IV, (17 March 2003); doi: 10.1117/12.474411
Show Author Affiliations
James L. Foster, NASA Goddard Space Flight Ctr. (United States)
Dorothy K. Hall, NASA Goddard Space Flight Ctr. (United States)
R. E. J. Kelly, Univ. of Maryland/Baltimore County (United States)
Alfred T. C. Chang, NASA Goddard Space Flight Ctr. (United States)
J. Y. L. Chien, Science Application International Corp. (United States)

Published in SPIE Proceedings Vol. 4879:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IV
Manfred Owe; Guido D'Urso; Leonidas Toulios, Editor(s)

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