Improved index overlay mineral potential modeling in brown- and green-fields exploration using geochemical, geological a
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RESEARCH ARTICLE
Improved index overlay mineral potential modeling in brown- and green-fields exploration using geochemical, geological and remote sensing data Ahmad Aryafar 1 & Bijan Roshanravan 1 Received: 8 April 2020 / Accepted: 19 August 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The data-driven index overlay technique is an amended version of the conventional index overlay method, which has been utilized for mineral potential modeling (MPM) in brown-fields exploration, whereby a data-driven way is utilized to determine the relative significance of both individual evidence maps and evidential values. Although this method evades exploration bias in the conventional index overlay MPM resulting from categorization of evidential maps into some optional classes, it still possesses two major issues: (i) since this technique utilizes the plots of prediction-area (P-A) for defining the importance degree of every evidential map, it carries exploration bias resulting from the use of known mineral occurrences (KMOs) and (ii) it is not applicable in green-fields areas where there may be no KMOs. In this study, we propound an improved index overlay MPM to overcome the deficiencies described above, whereby every individual evidential map is rendered a weight without expert opinion and without the use of KMOs through a modified Shannon’s entropy method. To illustrate this procedure, we applied it to the brown-fields Dolatabad district of southern Iran as a MPM case study for podiform chromite deposits. The results indicated that the improved index overlay approach outperformed the data-driven index overlay method for modeling the potential of the podiform chromite deposits. After successful testing of the improved index overlay technique, we applied it to the green-fields Birjand district of eastern Iran in order to ascertain promising zones for further detailed exploration of the targeted deposit. Keywords Improved index overlay . Brown-fields . Green-fields . Podiform chromite deposits . Mineral potential modeling
Introduction For mineral potential modeling (MPM) of a targeted deposit type in a certain tract, spatial geoscience datasets are compiled based on the conceptual mineralization model of that deposit type. Subsequently, evidential maps are generated by quantitative analysis of individual geoscience datasets and then weighted and synthesized for modeling the potential of the targeted deposit (Bonham-Carter 1994; Communicated by: H. Babaie * Bijan Roshanravan [email protected] Ahmad Aryafar [email protected] 1
Department of Mining, Faculty of Engineering, University of Birjand, P.O.BOX: 97175-376, Birjand, Iran
Kreuzer et al. 2008, 2010; Joly et al. 2012; Hronsky and Kreuzer 2019; Roshanravan et al. 2020). For this objective, there are commonly four spatial analysis to allocate weights to exploration evidence values, namely knowledge-driven, data-driven, hybrid of the knowledge- and data-driven, and continuous procedures utilizing logistic functions (McCuaig et al.
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