eng Science and Education Publishing Journal of Geosciences and Geomatics 2373-6704 2019-02-11 7 2 54 65 10.12691/jgg-7-2-1 JGG2019721 article Jean Jacques Nguimbous-Kouoh nguimbouskouoh@yahoo.fr 1 Dieudonné Minyem 2 Richard Tanwi Ghogomu 3 Simon Ngos III 3 Eliezer Manguelle-Dicoum 4 1Department of Mines, Petroleum, Gas and Water Resources Exploration, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon Department of Mining Engineering and Mineral Processing, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon Department of Industrial Security, Quality and Environment, Faculty of Mines and Petroleum Industries, University of Maroua, P.O. Box 08 Kaele, Cameroon Department of Physics, Faculty of Science, University of Yaoundé I, PO Box 6052 Yaoundé, Cameroon In the Far-North Region of Cameroon, the high rate of weathering and erosion of rocks do not allow to map the hydrological and geological structures in the field. This paper aims to test the combined use of field topographic data and Shuttler Radar Topography Mission (SRTM) data to define watershed morphometry, highlight the different erosion factors, and characterize the structural lineaments of the Mayo-Kani Division, within the Far-North Region of Cameroon. All these are done using; watersheds, hydrographic network, slopes, manual lineaments and automatic lineaments maps. These treatment techniques used (filtering, enhancement and slope analyses) allows: to morphologically characterize the ten identified Mayo-Kani watersheds, to measure the erodibility rate of the watersheds using the Universal Soil Loss Equation (USLE) and to compute the fracture maps. This last operation was validated using ground truth field observations and the literature review. Fracture networks were analyzed using statistical analysis techniques by studying fracture length distribution laws. http://pubs.sciepub.com/jgg/7/2/1/jgg-7-2-1.pdf satellite imagery SRTM GIS morphometry structural fracture