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Evaluation of the Radiometric Quality of the TM Data Using Clustering, Linear Transformations and Multispectral Distance MeasuresThe radiometric quality of LANDSAT 4 TM data for the classification and identification of Earth surface features was evaluated. Techniques employed in the evaluation included clustering, data compression (linear transformations), multispectral distance measures, and hierarchical classification methods. TM and MSS data for the Chicago, Illinois test site were studied. In order to determine the radiometric quality of the TM thermal data for temperature mapping of surface water, a test site was selected within the area covered by the TM scene (Scene ID: 40101-16025) gathered over Illinois. This site was chosen because it includes a surface water body with a large range of temperatures, i.e., a cooling pond for the Dresden nuclear power plant and the junction of two rivers.
Document ID
19850013421
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Bartolucci, L. A.
(Purdue Univ. West Lafayette, IN, United States)
Dean, M. E.
(Purdue Univ. West Lafayette, IN, United States)
Anuta, P. E.
(Purdue Univ. West Lafayette, IN, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1985
Publication Information
Publication: LANDSAT-4 Sci. Characterization Early Results, Vol. 3, Pt. 2
Subject Category
Earth Resources And Remote Sensing
Accession Number
85N21731
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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