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Improving classification of crop residues using digital land ownership data and Landsat TM imageryPlant residue on the surface of cultivated soils in Miami County, Indiana is analyzed in terms of quantity and type with Landsat TM data to generate information for a conservation program for agricultural soil. The Landsat data are enhanced with land-ownership data in a geographic information system to facilitate classification with maximum-likelihood, minimum-distance, and neural-network classifiers. The most effective classifications resulted from the use of the neural network on the enhanced TM data.
Document ID
19920027722
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Zhuang, Xin
(Purdue Univ. West Lafayette, IN, United States)
Engel, Bernard A.
(Purdue Univ. West Lafayette, IN, United States)
Baumgardner, Marion F.
(Purdue Univ. West Lafayette, IN, United States)
Swain, Philip H.
(Purdue University West Lafayette, IN, United States)
Date Acquired
August 15, 2013
Publication Date
November 1, 1991
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 57
ISSN: 0099-1112
Subject Category
Earth Resources And Remote Sensing
Accession Number
92A10346
Funding Number(s)
CONTRACT_GRANT: NAGW-1472
Distribution Limits
Public
Copyright
Other

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