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Evaluation of the radiometric quality of the TM data using clustering and multispectral distance measuresRadiometrically and geometrically corrected TM data from three different geographic locations were examined. Histograms were inspected for each band to determine the dynamic range of the data, the shape of the distributions, and to verify whether empty bins were introduced by the radiometric correction process. The effect of geometric correction on the radiometry of the resampled pixels was determined. The information content between TM and MSS data sets were compared and the TM data were used to map the thermal effluent discharge into a river ecosystem from a nuclear thermal power plant, and application only possible previously only possible through the acquisition of thermal infrared scanner data from aircraft altitudes.
Document ID
19830021491
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 11, 2013
Publication Date
January 1, 1983
Publication Information
Publication: NASA. Goddard Space Flight Center LANDSAT-4 Sci. Characterization
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N29762
Funding Number(s)
CONTRACT_GRANT: NAS5-26859
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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