The use of remote sensing satellite data has reduced the need for physical outcrop visits for data gathering and geological map generation. Since, snow covered and plants pose a difficulty in polar and tropical locations around the world, then digital image processing techniques must be used to reveal the lithology beneath those superficial layers. The surface geology in the Kuantan area of “Pahang State” in peninsular Malaysia was analyzed using band ratios and subjected to principle component analysis (PCA) on landsat-8 multispectral satellite data. A mineral based classification system was adopted using mineral indices to highlight minerals such as iron oxide, silica, and clay that are masked by the vegetation cover. Band ratios were used for mineral indices like (BR 6/7 for clay minerals), (BR 4/5 for vegetation suppression), (BR 4/2 for ferric iron oxide), and (BR 6/5 for ferrous iron oxide) and were subsequently subjected to the PCA image enhancement technique. The results generated were compared with field collected data for ground truth assessment.