Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/116942
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Type: Journal article
Title: Objective regolith-landform mapping in a regolith dominated terrain to inform mineral exploration
Author: Caruso, A.
Clarke, K.
Tiddy, C.
Delean, S.
Lewis, M.
Citation: Geosciences, 2018; 8(9):1-19
Publisher: MDPI
Issue Date: 2018
ISSN: 2076-3263
Statement of
Responsibility: 
Alicia S. Caruso, Kenneth D. Clarke, Caroline J. Tiddy, Steven Delean and Megan M. Lewis
Abstract: 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.
Keywords: Regolith-landform mapping; Geographic Information Systems (GIS); Mapcurves; regolith dominated terrains; unsupervised classification
Rights: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
RMID: 0030096874
DOI: 10.3390/geosciences8090318
Appears in Collections:Environment Institute publications

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