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Open AccessArticle

Objective Regolith-Landform Mapping in a Regolith Dominated Terrain to Inform Mineral Exploration

1
School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia
2
Future Industries Institute, University of South Australia, Mawson Lakes SA 5095, Australia
*
Author to whom correspondence should be addressed.
Geosciences 2018, 8(9), 318; https://doi.org/10.3390/geosciences8090318
Received: 13 July 2018 / Revised: 10 August 2018 / Accepted: 10 August 2018 / Published: 24 August 2018
(This article belongs to the Special Issue Quantitative Geomorphology)
An objective method for generating statistically sound objective regolith-landform maps using widely accessible digital topographic and geophysical data without requiring specific regional knowledge is demonstrated and has application as a first pass tool for mineral exploration in regolith dominated terrains. This method differs from traditional regolith-landform mapping methods in that it is not subject to interpretation and bias of the mapper. This study was undertaken in a location where mineral exploration has occurred for over 20 years and traditional regolith mapping had recently been completed using a standardized subjective methodology. An unsupervised classification was performed using a Digital Elevation Model, Topographic Position Index, and airborne gamma-ray radiometrics as data inputs resulting in 30 classes that were clustered to eight groups representing regolith types. The association between objective and traditional mapping classes was tested using the ‘Mapcurves’ algorithm to determine the ‘Goodness-of-Fit’, resulting in a mean score of 26.4% between methods. This Goodness-of-Fit indicates that this objective map may be used for initial mineral exploration in regolith dominated terrains. View Full-Text
Keywords: regolith-landform mapping; Geographic Information Systems (GIS); Mapcurves; regolith dominated terrains; unsupervised classification regolith-landform mapping; Geographic Information Systems (GIS); Mapcurves; regolith dominated terrains; unsupervised classification
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Caruso, A.S.; Clarke, K.D.; Tiddy, C.J.; Delean, S.; Lewis, M.M. Objective Regolith-Landform Mapping in a Regolith Dominated Terrain to Inform Mineral Exploration. Geosciences 2018, 8, 318.

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