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Pattern recognition analysis of polar clouds during summer and winterA pattern recognition algorithm is demonstrated which classifies eighteen surface and cloud types in high-latitude AVHRR imagery based on several spectral and textural features, then estimates the cloud properties (fractional coverage, albedo, and brightness temperature) using a hybrid histogram and spatial coherence technique. The summertime version of the algorithm uses both visible and infrared data (AVHRR channels 1-4), while the wintertime version uses only infrared data (AVHRR channels 3-5). Three days of low-resolution AVHRR imagery from the Arctic and Antarctic during January and July 1984 were analyzed for cloud type and fractional coverage. The analysis showed significant amounts of high cloudiness in the Arctic during one day in winter. The Antarctic summer scene was characterized by heavy cloud cover in the southern ocean and relatively clear conditions in the continental interior. A large region of extremely low brightness temperatures in East Antarctica during winter suggests the presence of polar stratospheric cloud.
Document ID
19920040060
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Ebert, Elizabeth E.
(Wisconsin, University Madison, United States)
Date Acquired
August 15, 2013
Publication Date
January 10, 1992
Publication Information
Publication: International Journal of Remote Sensing
Volume: 13
ISSN: 0143-1161
Subject Category
Meteorology And Climatology
Accession Number
92A22684
Funding Number(s)
CONTRACT_GRANT: NAG5-1117
CONTRACT_GRANT: NSF ATM-85-05027
Distribution Limits
Public
Copyright
Other

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