1Department of Earth Sciences, Faculty of Science, University of Ngaoundéré P.O. box 454 Ngaoundéré, Cameroon
2Department of Earth Sciences, Faculty of Sciences, University of Maroua, P.O. Box 814, Maroua, Cameroon
3Departement of Mine, Geology and Environment, Saint Jérôme Catholic University Institute of Douala, P.o. Box 5949 Douala, Cameroun
Journal of Geosciences and Geomatics.
2019,
Vol. 7 No. 2, 80-87
DOI: 10.12691/jgg-7-2-4
Copyright © 2019 Science and Education PublishingCite this paper: Danra Moh Guela Guy Basile, Tchameni Rigobert, Daouda Dawaï, Fosso Tchunte Periclex Martial, Awé Salomon, Bisségué Jean Claude. Geological Mapping of the Panafrican Mokong Gneisess and Granitoides (Far North Cameroon): Contribution of Semi-automatic Processing from Landsat 8 OLI/TIRS Images.
Journal of Geosciences and Geomatics. 2019; 7(2):80-87. doi: 10.12691/jgg-7-2-4.
Correspondence to: Danra Moh Guela Guy Basile, Department of Earth Sciences, Faculty of Science, University of Ngaoundéré P.O. box 454 Ngaoundéré, Cameroon. Email:
danraguy@yahoo.frAbstract
Field studies, Landsats 8 OLI/TIRS processing and the digital elevation model of SRTM images permit us to map the Mokong area, region situated in arid zone and located to the Northen part of the central African Orogenic belt in Cameroun. The use of Landsat’s number 3 band of made it possible to highlight the lineaments. It has been noticed after analyses that the maximum number of lineaments are oriented N-S direction. The second major trends of lineaments in the study area are respectively, ENE-WSW, E-W and SSE-NNW. The landsat OLI/TIRS processing (colorful composition, band math, and principal component analysis) are permitted to discriminate four mains rocks types: gneisses-amphibolite; biotite granite, diorite-granodiorite and tonalite. All those facies are partially covered by alluvial deposits in the southern erea. The digital elevation model has permitted to identify some volcanic cover. The method used in this work offers promising prospects for geological mapping of arid regions where there is usually little map, because with this method, the time is reduced and the result is more precise.
Keywords