Discrimination Of Natural And Cultivated Vegetation Using Thematic Mapper Spectral Data

Stephen D DeGloria; Ralph Bernstein; Silvano DiZenzo

doi:10.1117/12.938581

25 November 1986 Discrimination Of Natural And Cultivated Vegetation Using Thematic Mapper Spectral Data

Stephen D DeGloria, Ralph Bernstein, Silvano DiZenzo

Proceedings Volume 0660, Earth Remote Sensing Using the Landsat Thermatic Mapper and SPOT Sensor Systems; (1986) https://doi.org/10.1117/12.938581
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

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.

Citation Download Citation

Stephen D DeGloria, Ralph Bernstein, and Silvano DiZenzo "Discrimination Of Natural And Cultivated Vegetation Using Thematic Mapper Spectral Data", Proc. SPIE 0660, Earth Remote Sensing Using the Landsat Thermatic Mapper and SPOT Sensor Systems, (25 November 1986); https://doi.org/10.1117/12.938581

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