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Spectral band selection for classification of soil organic matter contentThis paper describes the spectral-band-selection (SBS) algorithm of Chen and Landgrebe (1987, 1988, and 1989) and uses the algorithm to classify the organic matter content in the earth's surface soil. The effectiveness of the algorithm was evaluated comparing the results of classification of the soil organic matter using SBS bands with those obtained using Landsat MSS bands and TM bands, showing that the algorithm was successful in finding important spectral bands for classification of organic matter content. Using the calculated bands, the probabilities of correct classification for climate-stratified data were found to range from 0.910 to 0.980.
Document ID
Document Type
Reprint (Version printed in journal)
Henderson, Tracey L.
(Purdue Univ. West Lafayette, IN, United States)
Szilagyi, Andrea
(Purdue Univ. West Lafayette, IN, United States)
Baumgardner, Marion F.
(Purdue Univ. West Lafayette, IN, United States)
Chen, Chih-Chien Thomas
(Purdue Univ. West Lafayette, IN, United States)
Landgrebe, David A.
(Purdue University West Lafayette, IN, United States)
Date Acquired
August 14, 2013
Publication Date
December 1, 1989
Publication Information
Publication: Soil Science Society of America, Journal
Volume: 53
ISSN: 0038-0776
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
Distribution Limits
No Preview Available