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Operational Cloud Detection in GEOS ImageryThe bispectral spatial coherence approach for the detection and masking of clouds is revisited with modifications for operational applications to Geostationary Operational Environmental Satellite (GOES) Imager and Sounder data. The approach applies an edge detection algorithm to a "difference" image to identify the edges or contours of the clouds. The difference image is generated as the difference between the 3.9 and 11 micrometer channels of the GOES sensors. This difference image better highlights cloud edges than either image alone and draws upon the emissivity differences in the various channels. The cloud contours are "filled-in" by referencing the thermal gradients in the 11-micrometer channel or difference image associated with the cloud edge. This paper and associate poster will present a preliminary validation of the bispectral spatial coherence approach and will compare the cloud masks generated with this approach to the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service (NOAA/NESDIS) operational cloud products.
Document ID
20010073053
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Jedlovec, Gary J.
(NASA Marshall Space Flight Center Huntsville, AL United States)
Laws, Kevin
(Alabama Univ. Huntsville, AL United States)
Arnold, James E.
Date Acquired
August 20, 2013
Publication Date
January 11, 2001
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: 11th Conference on Satellite Meteorology and Oceanography
Location: Madison, WI
Country: United States
Start Date: October 15, 2001
End Date: October 18, 2001
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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