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Proceedings Paper

Discrimination Of Natural And Cultivated Vegetation Using Thematic Mapper Spectral Data
Author(s): Stephen D DeGloria; Ralph Bernstein; Silvano DiZenzo
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Paper Abstract

The availability of high quality spectral data from the current suite of earth observation satellite systems offers significant improvements in our ability to survey and monitor food and fiber production on both a local and global basis. Current research results indicate that Landsat Thematic Mapper (TM) data when used in either digital or analog formats achieve higher land cover classification accuracies than Multispectral Scanner (MSS) data using either comparable or improved spectral bands and spatial resolution. A review of these quantitative results are presented for both natural and cultivated vegetation.

Paper Details

Date Published: 25 November 1986
PDF: 8 pages
Proc. SPIE 0660, Earth Remote Sensing Using the Landsat Thermatic Mapper and SPOT Sensor Systems, (25 November 1986); doi: 10.1117/12.938581
Show Author Affiliations
Stephen D DeGloria, Resource Survey Institute (United States)
Ralph Bernstein, IBM-Palo Alto Scientific Center (United States)
Silvano DiZenzo, IBM-Rome Scientific Center (Italy)


Published in SPIE Proceedings Vol. 0660:
Earth Remote Sensing Using the Landsat Thermatic Mapper and SPOT Sensor Systems
Philip N. Slater, Editor(s)

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