Application of Multispectral Remote Sensing in Mapping of Mineral Deposits

Abstract

This research examined Multispectral Remote Sensing in mineral mapping in the Ogoni area of Port Harcourt, Rivers State, Niger Delta. That is why the objective of the research was to improve the efficiency of mineral exploration with the help of non-destructive methods. Envi and ArcGIS software were used to analyze Landsat 8 OLI and Sentinel -2 MSI datasets. The applied preprocessing procedures involved radiometric and geometric corrections, and the values of these procedures ranged from 0. 006 to 0. 987 and 0. 064 to 0. 887, respectively. While mapping the minerals, we used spectral signature, band rasterizing, and principal component analysis. Here, the classification results exhibit a wide range in terms of the total percentage of accuracy, which was between 0. 097 and 0. 908. Consequently, the band ratio analysis showed the areas with high mineral potential; for example, Region 5 has ratios of 0. 972, 0. 986, and 0. 591 for three of the most important combinations of bands. Application of hyperspectral data calculated the degree of minerals present in the area; also, areas of high mineral dominance were observed and found to be Region_9 at the degree of 0. 711 concentration for Mineral_3. The results-oriented work and the study suggest that multispectral remote sensing could be a preliminary way of exploring mineral-rich environments to locate areas of interest and higher potential for ground-based exploration. Solutions include further tweaking the algorithms, including other geospatial data sources and detailed surveys in the subject areas.