Remote sensing technology is already widely used in various geological fields such as mineralogy, lithological mapping, geomorphology and so on. In our study, it is specifically used for lithological mapping. This work aims to map rock types in the Korbol region by integrating remote sensing applications of Landsat-8 image processing (OLI), field studies and petrographic investigations. The aim of the present work is to produce a geological map of the area north of Korbol, south of the Guéra massif, due to the absence of a geological map. We used the optimal indexing factor and correlation coefficient methods to identify the most effective results from false color composite (FCC), principal component analysis (PACP ) and band ratio (BR). These techniques, combined with supervised classification, enabled us to distinguish the different rock units on the basis of their spectral signatures. The results were combined with the aforementioned techniques, including principal component images (PACP1, PACP2, PACP3) and band ratio images (6/5, 4/5, 1/6 and 6/7, 6/2 and 6/5). As a result, geological mapping has been underpinned and field and laboratory petrographic studies confirmed. This approach identified six distinct lithological units, namely pyroxene amphibolite; biotite amphibolite; biotite gneiss, quartz diorite, biotite granite and biotite-amphibole granite. Landsat-8 image processing revealed that the geological basement of the northern Korbol massif is predominantly granitic. ESE-WNW to NE-SW directions and a secondary NE-SW direction are the main fracture directions in these geological formations.
