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Feature selection and the information content of Thematic Mapper simulator data for forest structural assessmentAn assessment is made of the information content of Thematic Mapper Simulator (TMS) data for the case of a forested region, in order to determine the sensitivity of such data to forest crown closure and tree size class. Principal components analysis and Monte Carlo simulation indicated that channels 4, 7, 5 and 3 were optimal for four-channel forest structure analysis. As the number of channels supplied to the Monte Carlo feature selection routine increased, classification accuracy increased. The greatest sensitivity to the forest structural parameters, which included succession within clearcuts as well as crown closure and size class, was obtained from the 7-channel TMS data.
Document ID
19850029051
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Spanner, M. A.
(Technicolor Government Services, Inc. Moffett Field, CA, United States)
Brass, J. A.
(Technicolor Government Services, Inc. Moffett Field, CA, United States)
Peterson, D. L.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 12, 2013
Publication Date
November 1, 1984
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: GE-22
ISSN: 0196-2892
Subject Category
Earth Resources And Remote Sensing
Accession Number
85A11202
Distribution Limits
Public
Copyright
Other

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