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

Authors

Eric Dominic Forson¹ , David Dotse Wemegah² , Godfred Bright Hagan¹ , Desmond Appiah³ , Fortune Addo-Wuver³ , Isaac Adjovu⁴ , Frank Osae Otchere² , Said Mateso⁵ , Aboagye Menyeh² , Theophilus Amponsah²

1. University of Ghana
2. Kwame Nkrumah University of Science and Technology, Kumasi-Ghana
3. University of Education Winneba
4. Geodita Resources Limited, Accra-Ghana
5. Department of Environmental Engineering and Management, The University of Dodoma, Tanzania

Conference / event

IAST industry-academia conference, Legon-Accra, Ghana, April 2022 (University of Ghana, Legon-Accra, Ghana)

Poster summary

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.

Keywords

Data-driven approach, Normalized density, Evidential layer, Prediction-area plots, Logistic Function,, Multi-index overlay

Research areas

Remote Sensing, Earth Sciences, Statistics, Physics

References

1. Klemd, R., Hnken, U., & Olesch, M. (2002). Metamorphism of the country rocks hosting gold?sulfide-bearing quartz veins in the Paleoproterozoic southern Kibi-Winneba belt (SE-Ghana). Journal of African Earth Sciences, 35(2), 199- 211
2. Cheng, Q., Agterberg, F. P., & Ballantyne, S. B. (1994). The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical exploration, 51(2), 109-130.
3. Yousefi, M., & Carranza, E. J. M. (2015). Prediction?area (P?A) plot and C?A fractal analysis to classify and evaluate evidential maps for mineral prospectivity modeling. Com- puters & Geosciences, 79, 69-81.

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2022 Forson et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.