In mineral exploration, remote sensing (RS) techniques are practical and economical. In broader geographic areas, metallogenic provinces, belts, sides, and mineral guides can be identified using RS data. The Boya Razmak research region in North Waziristan contains a noteworthy ophiolite sequence. Satellite data was helpful in this investigation because of the inaccessibility, exposed Waziristan ophiolite, sedimentary igneous lithologies, and rough terrain with little vegetation. Oceanic lithosphere segments known as ophiolites, which are obducted onto the continental crust, provide information about processes like asthenospheric upwelling, mantle melting, continental rifting, and oceanic lithosphere cooling. The study aims to assess the potential of three multispectral satellite imagery Landsat-8 OLI, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data, and Sentinel-2 for mapping alteration zones, gossan, iron oxide, and clay minerals under low vegetation cover in North Waziristan (Boya Razmak) and the surrounding area. In order to map ultramafic terrain visible, short and thermal infrared raw bands were acquired and analyzed using satellite image interpretation techniques, such as false and true color composites. Spectral signatures from satellite imagery were used to differentiate between rock units and alteration zones, and different techniques, such as band ratios and band combinations can be helpful in this approach. Results shows that large-scale mineral discovery can benefit from the combined use of numerous satellite images with different spatial and spectral resolutions. Notably, ASTER data has demonstrated exceptional efficiency, producing remarkably noticeable outcomes in identifying supergene copper mineralization. According to the findings, the technique is promising for identifying alteration zones and could be applied to the exploration of iron, manganese, copper, and chromite in comparable areas elsewhere.