1887

Abstract

Summary

For many years the output of radiometric surveys are maps of total count gamma activity and estimations of K, U, Th. Our work puts the focus upon using the long neglected aspects of the radiometric spectrum: the scattered gamma ray radiation. The heavy mineral indicator (HMI) is computed form a ration of low energy versus high energy scattered gamma rays. It is in effect the ratio of Photoelectric effect versus Compton effects. The Elashgin case history demonstrates that low-level and high resolution full spectrum radiometrics provides good data for the HMI technique. HMI values are dominated by Fe concentration due the abundance of Fe over other high atomic number elements. Areas composed of higher atomic numbers, mostly due to the iron content, such as ferricretes and laterite show up clearly in the Elashgin data without the need to be “interpreted” with respect to geological context. With the high resolution of modern radiometrics on planes and future drones this technique works well for remote sensing. An exciting aspect of HMI analysis for airborne radiometrics is not just the future, but the past: many high quality full spectrum data sets already exist and may be easily reprocessed to reveal new geological insights.

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/content/papers/10.3997/2214-4609.201802509
2018-09-09
2024-03-28
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References

  1. Beckett, K. A.
    [2007] Multispectral Analysis of High Spatial Resolution 256-channel Radiometrics for Soil and Regolith Mapping: Curtin University of Technology.
    [Google Scholar]
  2. Chin, R. J.
    [1986] 1:250:000 geological series-explanatory notes, Kellerberrin, Western Australia. Geological survey of Western Australia.
    [Google Scholar]
  3. Commander, P., N.Schoknecht, B.Verboom, and P.Caccetta
    . [2001], The geology, physiography and soils of wheatbelt valleys: Proceedings of the Wheatbelt Valleys Conference, Perth, Australia, January 2001
    [Google Scholar]
  4. Dickson, B., G.Taylor
    , 1999, Maximum noise fraction method reveals detail in aerial gamma-ray surveys. Exploration and Mining Research News, 11, 8–10.
    [Google Scholar]
  5. Grasty, R. L.
    1979, Gamma ray spectrometric methods in uranium exploration - theory and operational procedures;. In Economic Geology, edited by Geological Survey of Canada.
    [Google Scholar]
  6. HerrmannL. S. U., RangubpitW, ErbeP, SurinkumA, ZareiM, StahrK, GilkesR
    2010, The potential of gamma-ray spectrometry for soil mapping. In Soil solutions for a changing world. 24th European Meeting of Environmental and Engineering Geophysics.
    [Google Scholar]
  7. Jones, M., T.Cudahy, M.Thomas, and R.Hewson
    . 2010, Airborne and ground-based spectral surveys map surface minerals and chemistries near Duchess, Queensland. Wien: International Union of Soil Sciences (IUSS), c/o Institut für Bodenforschung, Universität für Bodenkultur.
    [Google Scholar]
  8. Minty, B. R. S., P.McFadden, and B. L. N.Kennett
    . 1998, Multichannel processing for airborne gamma-ray spectrometry. Geophysics, 63, no. 6, 1971–1985. doi: 10.1190/1.1444491.
    https://doi.org/10.1190/1.1444491 [Google Scholar]
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