Awé Wangméné Salomon1, 2,
,
Tchameni Rigobert2,
Daouda Dawaï3,
Amadou Diguim Kepnamou4,
Danra Moh Guela Guy Basile2,
Haskandi Kalaza Josué2,
Bayanbé Gaoussou1, 2,
Sini André1, 2 1Mining Engineering Department, Saint-Jérôme Catholic University Institute in Douala, BP 5949, Douala, Cameroun
2Department of Earth Sciences, Faculty of Science, University of Ngaoundéré P.O. box 454 Ngaoundéré, Cameroon
3Department of Earth Sciences, Faculty of Sciences, University of Maroua, P.O. Box 814, Maroua, Cameroon
4School of geology and mining, University of Ngaoundéré, P.O. box 115 Meiganga
Journal of Geosciences and Geomatics.
2021,
Vol. 9 No. 2, 83-95
DOI: 10.12691/jgg-9-2-5
Copyright © 2021 Science and Education PublishingCite this paper: Awé Wangméné Salomon, Tchameni Rigobert, Daouda Dawaï, Amadou Diguim Kepnamou, Danra Moh Guela Guy Basile, Haskandi Kalaza Josué, Bayanbé Gaoussou, Sini André. Morphotectonic Analysis of Mboula Area in Relation with Central Cameroon Shear Zone (CCSZ) and Lithology Using Remote Sensing and Field Data.
Journal of Geosciences and Geomatics. 2021; 9(2):83-95. doi: 10.12691/jgg-9-2-5.
Correspondence to: Awé Wangméné Salomon, Mining Engineering Department, Saint-Jérôme Catholic University Institute in Douala, BP 5949, Douala, Cameroun. Email:
sawewangmene@yahoo.comAbstract
The field studies, the Landsat 8 OLI/TIRS processing and the digital elevation model of the Alos Palsar images enabled us to map the lineaments of the Mboula area, in the Adamawa-Yadé domain of the Central Pan-African Fold Belt. The use of the OLI 8 band on Landsat 7 × 7 window made it possible to highlight these lineaments. The result depicted in more than 12,417 segments of lines and curves corresponding to potential fractures and geological contacts. Note that the maximum number of main lineaments after treatment (3,274 lineaments) are oriented NE-SW. The second lineament trend in the study area is NNE-SSW and NNW-SSE respectively. The DEM of the Alos Palsar sensor made it possible to establish four geomorphological units in the study area: hilltop, mountain, plateau and alluvial plain. By superimposing these on the lithological map and tectonic, the coincidence is quite obvious. Thus, field and remote sensing analysis reveal that lithology and the CCSZ have influenced significantly the geomorphological evolution of the Mboula area. These results also illustrate the interest of remote sensing analysis in mapping tectonic structures, with benefit of time saving and precision.
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