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Automated vegetation classification using Thematic Mapper Simulation dataThe present investigation is concerned with the results of a study of Thematic Mapper Simulation (TMS) data. One of the objectives of the study was related to an evaluation of the usefulness of the Thematic Mapper's (TM) improved spatial resolution and spectral coverage. The study was undertaken as part of a preparation for the efficient incorporation of Landsat 4 data into ongoing technology development in remote sensing. The study included an application of automated Landsat vegetation classification technology to TMS data. Results of comparing TMS data to Multispectral Scanner (MSS) data were found to indicate that all field definition, crop type discrimination, and subsequent proportion estimation may be greatly increased with the availability of TM data.
Document ID
19840050560
Document Type
Conference Paper
Authors
Nedelman, K. S. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Cate, R. B. (Lockheed Engineering and Management Services Co., Inc. Houston, TX, United States)
Bizzell, R. M. (NASA Johnson Space Center Houston, TX, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1983
Subject Category
EARTH RESOURCES AND REMOTE SENSING
Funding Number(s)
CONTRACT_GRANT: NAS9-15800
Distribution Limits
Public
Copyright
Other