Fuzzy-logic technique for gold mineralization prospecting using Landsat 9 OLI processing and fieldwork data in the Bibemi goldfield, north Cameroon

Abstract

Identifying potential hydrothermal alteration areas is indeed an essential method for mineral exploration. In this research, we developed an algorithm for the delineation of alteration mineral deposits related to gold mineralization in the Bibemi region using set of criteria derived from Landsat 9 OLI data using false colour composites, band ratios, principal component analysis, spectral angle mapper, and fuzzy-logic overlay methods. The methods used showed iron-oxides, ferrous, and hydroxyl-bearing and carbonate mineral properties related to gold mineralization. The fuzzy overlay map identified regions depending on their mineralization prospective, serving as foundation for prospective mineral deposit evaluation investigation, which was produced by the merging of band ratios and PC's alteration markers labelled very good, and excellent and encompasses 0.8–0.9, 0.9–1.0 respectively. The identified regions fit gold mineralization zones based on their potential as proven by prior and field research. In addition, lineaments analysis showed the presence of three main structural direction impacting the Bibemi region (N–S, NNE-SSW, and ESE-WNW to SSE-NNW), when merged with identified rock formations permits the possible deposition of mineral deposits. The innovative aspect of this research is the integration and processing of Landsat 9 OLI and fieldwork data, which allows for the identification of potentially mineralized rock formations and defining exploration targets.