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Discriminant analysis applied to aerial radiometric data and its application to Uranium favorability in South Texas

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Abstract

In an effort to establish radiometric signatures of geologic units, 10 discriminant analysis techniques were applied to aerial radiometric data collected along the Texas Gulf Coast for the Grand Junction, Colorado, Office, U.S. Department of Energy's National Uranium Resource Evaluation (NURE)program. Results of this study show that partial discriminant analysis with the linear discriminant function (LDF)applied to the raw data is useful for establishing radiometric signatures and for classifying new observations. Signatures for favorable and unfavorable units along the Texas Gulf Coast were established and new observations were then classified as favorable or unfavorable for hosting uranium deposits based on the established training sets.

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Authors and Affiliations

  1. Department of Statistics, University of Iowa, 52242, Iowa City, Iowa, USA

    David A. Patterson

  2. Bendix Field Engineering Corporation, 81502, Grand Junction, Colorado, USA

    Fredric L. Pirkle & Newton K. Stablein

  3. Los Alamos National Laboratory, 87545, Los Alamos, New Mexico, USA

    Mark E. Johnson, Thomas R. Bement & C. Kay Jackson

Authors
  1. David A. Patterson
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  2. Fredric L. Pirkle
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  3. Mark E. Johnson
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  4. Thomas R. Bement
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  5. Newton K. Stablein
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  6. C. Kay Jackson
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Additional information

Manuscript received 27 March 1981, revised 18 May 1981. Work performed under the auspices of the U.S. Department of Energy.

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Patterson, D.A., Pirkle, F.L., Johnson, M.E. et al. Discriminant analysis applied to aerial radiometric data and its application to Uranium favorability in South Texas. Mathematical Geology 13, 535–568 (1981). https://doi.org/10.1007/BF01034504

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  • DOI: https://doi.org/10.1007/BF01034504

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