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Operational use of Landsat data for timber inventoryLandsat TM data, digital elevation model (DEM) data, and field observations were used to generate a timber type/structure and land-cover strata map of the Sequoia National Forest in California, U.S. and to create a classification data set. The spectral classes were identified as 32 information classes of land cover or timber type and structure. DEM data were used for the determination of major timber specie types by topographic regions of natural occurrence. The results suggest that, for inventories over large areas, traditional per-pixel classifiers are not appropriate for TM-resolution data sets over spatially complex regions such as forest lands; either resolution must be degraded, or more context-dependent classifiers, such as the ECHO classifier described by Landgrebe (1979), must be used.
Document ID
Document Type
Conference Paper
Price, Curtis V.
(NASA Ames Research Center; TGS Technology, Inc. Moffett Field, CA, United States)
Bowlin, Harry L.
(USDA, Forest Service, San Francisco CA, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1987
Subject Category
Earth Resources And Remote Sensing
Meeting Information
International Symposium on Remote Sensing of Environment(Ann Arbor, MI)
Accession Number
Funding Number(s)
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