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Improving the MODIS Global Snow-Mapping AlgorithmAn algorithm (Snowmap) is under development to produce global snow maps at 500 meter resolution on a daily basis using data from the NASA MODIS instrument. MODIS, the Moderate Resolution Imaging Spectroradiometer, will be launched as part of the first Earth Observing System (EOS) platform in 1998. Snowmap is a fully automated, computationally frugal algorithm that will be ready to implement at launch. Forests represent a major limitation to the global mapping of snow cover as a forest canopy both obscures and shadows the snow underneath. Landsat Thematic Mapper (TM) and MODIS Airborne Simulator (MAS) data are used to investigate the changes in reflectance that occur as a forest stand becomes snow covered and to propose changes to the Snowmap algorithm that will improve snow classification accuracy forested areas.
Document ID
20000038134
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Klein, Andrew G.
(Universities Space Research Association Greenbelt, MD United States)
Hall, Dorothy K.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Riggs, George A.
(Research and Data Systems, Inc. Greenbelt, MD United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1997
Publication Information
Publication: Laboratory for Hydrospheric Processes Research Publications
Subject Category
Computer Programming And Software
Report/Patent Number
LC-97-70575
IEEE-97CH36042
Meeting Information
Meeting: Geoscience and Remote Sensing
Location: Singapore
Country: Singapore
Start Date: August 3, 1997
End Date: August 8, 1997
Distribution Limits
Public
Copyright
Other

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