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Journal of Geosciences and Geomatics. 2019, 7(1), 15-27
DOI: 10.12691/JGG-7-1-3
Original Research

Contribution to the Imagery of Landsat 8 for Identification of the Corridors of Mineralisation: Application for Formations of Precambrians Bindiba

Jacques Wassouo Wadjou1, , Abakar Mahamat1, Fodoué Yaya1, Ethel Ashukem Nkongho1, Eugene Pascal Binam Mandeng1, Dagwai Nguihdama2 and Ismaela Ngounounou3

1Geological and Mining Research Center (GMRC), P.O. Box 333 Garoua, Cameroon

2Higher Normal School (HNS), University of Maroua, P.O. Box 55, Maroua, Cameroon

3School of Geology and Mining Engineering (SGME), University of Ngaoundéré, P.O. Box 454, Ngaoundéré, Cameroon

Pub. Date: February 02, 2019
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Jacques Wassouo Wadjou, Abakar Mahamat, Fodoué Yaya, Ethel Ashukem Nkongho, Eugene Pascal Binam Mandeng, Dagwai Nguihdama and Ismaela Ngounounou. Contribution to the Imagery of Landsat 8 for Identification of the Corridors of Mineralisation: Application for Formations of Precambrians Bindiba. Journal of Geosciences and Geomatics. 2019; 7(1):15-27. doi: 10.12691/JGG-7-1-3

Abstract

The Bindiba gold district study in the East Cameroon region was done using a combination of Landsat 8 ETM image processing techniques, SRTM imagery and fieldwork. The various digital processing methods of treatment applied such as color compositions and component analysis showed lithological differentiation of the different formations of the study area. Directional filtering and treatments such as the Sobel have made a good linear mapping where we have been able to list more than 293 lineaments in which two types have been distinguished. The type I lineaments or penetrative lineaments correspond to schistosity trajectories. This interpretation is confirmed from field data which revealed schistosity plans mainly oriented NE-SW. Type II lineaments or non-penetrative lineaments are characterized by greater cartographic continuity and lesser spatial density. These lineaments thus represent the fracturing of the study area. The results of this lithology and linearization mapping, based on the superposition of the different images from the treatments and the field data, made it possible to identify the zones favorable for gold concentration and highlighted two gold mineralization corridors. This is the N30-35E steering corridor and the N110-135E steering corridor.

Keywords

Bindiba, gold district, mineralization corridors, Landsat 8 ETM +/ SRTM image

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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