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Statistical analysis of Thematic Mapper Simulator data for the geobotanical discrimination of rock types in southwest OregonAn evaluation of Thematic Mapper Simulator (TMS) data for the geobotanical discrimination of rock types based on vegetative cover characteristics is addressed in this research. A methodology for accomplishing this evaluation utilizing univariate and multivariate techniques is presented. TMS data acquired with a Daedalus DEI-1260 multispectral scanner were integrated with vegetation and geologic information for subsequent statistical analyses, which included a chi-square test, an analysis of variance, stepwise discriminant analysis, and Duncan's multiple range test. Results indicate that ultramafic rock types are spectrally separable from nonultramafics based on vegetative cover through the use of statistical analyses.
Document ID
19850029057
Document Type
Reprint (Version printed in journal)
Authors
Morrissey, L. A. (Technicolor Government Services, Inc. Moffett Field, CA, United States)
Weinstock, K. J. (Technicolor Government Services, Inc. Moffett Field, CA, United States)
Mouat, D. A. (Stanford University Stanford, CA, United States)
Card, D. H. (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
Distribution Limits
Public
Copyright
Other