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Spectral response curve models applied to forest cover-type discriminationThe potential of remote sensing systems to provide a cost-effective inventory tool in the case of forest resources is currently of interest to a variety of natural resources management agencies. A number of studies have been performed regarding the use of Landsat data for mapping forest resources in Michigan. The present paper is concerned with current research, which has been directed toward the development and evaluation of computer-implemented classifications for the identification and characterization of coniferous forest types in Michigan's northern Lower Peninsula. Attention is given to the characteristic response curves from Landsat MSS data, spectral response curve models, and forest cover-type discrimination. It is found that spectral response curve models can be used to evaluate and explain the characteristic spectral responses of coniferous forest types on a snow-covered, winter Landsat scene.
Document ID
19850056669
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Hudson, W. D.
(Michigan State Univ. East Lansing, MI, United States)
Lusch, D. P.
(Michigan State University East Lansing, MI, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1984
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: Machine processing of remotely sensed data: Thematic Mapper data and geographic information systems
Location: West Lafayette, IN
Start Date: June 12, 1984
End Date: June 14, 1984
Accession Number
85A38820
Funding Number(s)
CONTRACT_GRANT: NGL-23-004-083
Distribution Limits
Public
Copyright
Other

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