Deriving Optimal Exploration Target Zones on Mineral Prospectivity Maps |
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| Authors: | Pravesh Debba Emmanuel J M Carranza Alfred Stein Freek D van der Meer |
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| Institution: | (1) CSIR, Logistics and Quantitative Methods, CSIR Built Environment, P.O. Box 395, 0001 Pretoria, South Africa;(2) International Institute for Geo-Information Science and Earth Observation (ITC), Hengelosestraat 99, P.O. Box 6, 7500AA Enschede, The Netherlands |
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| Abstract: | This paper describes a quantitative methodology for deriving optimal exploration target zones based on a probabilistic mineral
prospectivity map. The methodology is demonstrated in the Rodalquilar mineral district in Spain. A subset of known occurrences
of mineral deposits of the type sought was considered discovered and then used as training data, and a map of distances to
faults/fractures and three band ratio images of hyperspectral data were used as layers of spatial evidence in weights-of-evidence
(WofE) modeling of mineral prospectivity in the study area. A derived posterior probability map of mineral deposit occurrence
showing non-violation of the conditional independence assumption and having the highest prediction rate was then put into
an objective function in simulated annealing in order to derive a set of optimal exploration focal points. Each optimal exploration
focal point represents a pixel or location within a circular neighborhood of pixels with high posterior probability of mineral
deposit occurrence. Buffering of each optimal exploration focal point, based on proximity analysis, resulted in optimal exploration
target zones. Many of these target zones coincided spatially with at least one occurrence of mineral deposit of the type sought
in the subset of cross-validation (i.e., presumed undiscovered) mineral deposits of the type sought. The results of the study
showed the usefulness of the proposed methodology for objective delineation of optimal exploration target zones based on a
probabilistic mineral prospectivity map. |
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| Keywords: | Simulated annealing Epithermal deposits Weights-of-evidence Hyperspectral remote sensing Hydrothermal alteration |
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