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Data-Driven Multi-Index Overlay Gold Prospectivity Mapping Using Geophysical and Remote Sensing Datasets

Article scientifique 2022 Anglais

Résumé

In this study, prospective zones of gold mineralization occurrences over the southern Kibi-Winneba belt have been delineated.This was preceded by using the prediction-area (P-A) plot by the generation of intersection points of prediction rate indicators that were essential in obtaining the normalized densities, which were subsequently used in generating the objective weight for each evidential layer in a data-driven way.The P-A and the normalized density techniques used were vital in recognizing the indicator and non-indicator criteria.The results obtained acknowledged the potassium concentration layer as a non-indicator of gold mineralization within the study area and subsequently recognized the hydroxyl concentration layer as the most plausible indicator criteria among the five indicator criteria (lineament density, iron concentration, hydroxyl concentration, gravity anomaly and magnetic anomaly) used.The indicator criteria were then integrated to generate a mineral prospectivity map (MPM) over the study area.

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Forson, E., Wemegah, D., Hagan, G., Appiah, D., Addo-Wuver, F., Adjovu, I., Otchere, F., Said, A., Menyeh, A., Amponsah, T. (2022). Data-Driven Multi-Index Overlay Gold Prospectivity Mapping Using Geophysical and Remote Sensing Datasets. https://doi.org/10.54985/peeref.2209p5617862

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