[ Apport de l’imagerie Landsat 8 dans la caractérisation des unités lithologiques du sous-bassin de l’Ouest Congolien : Cas de Kisantu et de ses environs, République Démocratique du Congo ]
Volume 38, Issue 1, August 2018, Pages 174–184
Emmanuel L. Lokilo1, Daniella K. Kahindo2, Tondozi Keto3, Kelly K. Nzambe4, Michael N. Yang’tshi5, Moïse L. Luemba6, Meshac B. Ngungu7, Ruphin D. Djolu8, Hervé Ndaye Mudumbi9, Masengo C. Ashande10, and Koto-te-Nyiwa Ngbolua11
1 Faculté des Sciences, Université de Gbado-Lite, B.P 111 Gbado-Lite, RD Congo
2 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
3 Department de physique, Faculté des Sciences, Université de Kinshasa, Kinshasa, RD Congo
4 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
5 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
6 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
7 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
8 Departement des Sciences de l’Environnement, Université de Gbadolite, B.P. 111 Gbadolite, Nord-Ubangi, RD Congo
9 College of Safety and Ocean Engineering, University of Petroleum-Beijing, Beijing 102249, China
10 Scientific Committee for Research, Conservation and the Development of Biodiversity, Faculty of Science, University of Kinshasa, RD Congo
11 Département de Biologie, Faculté des Sciences, Université de Kinshasa, BP 190 Kinshasa XI, RD Congo
Original language: French
Copyright © 2018 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In order to better constrain the utility of multispectral datasets in the characterization of surface materials, Landsat 8 data were evaluated in the discrimination of geological classes in KISANTU and its vicinity. Ground-based measurements collected from the study area highlight the importance of limestone in that area. The spatial distribution of exposed lithologies in the study area was determined through an image resulting from a band ratio (band 7/band 6) that shows the distribution of clays coming from the alteration of the rocks below; and another image using a band ratio transform (band 6/band 7) to identify limestone. Despite some shortcomings coming from the unsupervised classification, the merging of band ratio and the principal component analyze gives an overall representation of the spatial distribution of exposed geological materials in the study area.
Author Keywords: Band ratio, Principal component analyze, Lithology, Reflectance.
Volume 38, Issue 1, August 2018, Pages 174–184
Emmanuel L. Lokilo1, Daniella K. Kahindo2, Tondozi Keto3, Kelly K. Nzambe4, Michael N. Yang’tshi5, Moïse L. Luemba6, Meshac B. Ngungu7, Ruphin D. Djolu8, Hervé Ndaye Mudumbi9, Masengo C. Ashande10, and Koto-te-Nyiwa Ngbolua11
1 Faculté des Sciences, Université de Gbado-Lite, B.P 111 Gbado-Lite, RD Congo
2 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
3 Department de physique, Faculté des Sciences, Université de Kinshasa, Kinshasa, RD Congo
4 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
5 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
6 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
7 Faculté de Pétrole et Gaz, Université de Kinshasa, RD Congo
8 Departement des Sciences de l’Environnement, Université de Gbadolite, B.P. 111 Gbadolite, Nord-Ubangi, RD Congo
9 College of Safety and Ocean Engineering, University of Petroleum-Beijing, Beijing 102249, China
10 Scientific Committee for Research, Conservation and the Development of Biodiversity, Faculty of Science, University of Kinshasa, RD Congo
11 Département de Biologie, Faculté des Sciences, Université de Kinshasa, BP 190 Kinshasa XI, RD Congo
Original language: French
Copyright © 2018 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In order to better constrain the utility of multispectral datasets in the characterization of surface materials, Landsat 8 data were evaluated in the discrimination of geological classes in KISANTU and its vicinity. Ground-based measurements collected from the study area highlight the importance of limestone in that area. The spatial distribution of exposed lithologies in the study area was determined through an image resulting from a band ratio (band 7/band 6) that shows the distribution of clays coming from the alteration of the rocks below; and another image using a band ratio transform (band 6/band 7) to identify limestone. Despite some shortcomings coming from the unsupervised classification, the merging of band ratio and the principal component analyze gives an overall representation of the spatial distribution of exposed geological materials in the study area.
Author Keywords: Band ratio, Principal component analyze, Lithology, Reflectance.
Abstract: (french)
Les analyses des images satellitaires Landsat 8 nous ont permis d’actualiser et compléter la cartographie lithologique de la cité de KISANTU et ses environs reposant sur les schisto-calcaires représentés d’une part par les faisceaux du Bangu et d’autre part par ceux de la Lukunga. Les rapports de bandes 7/6, 6/7 et les analyses en composantes principales des images originales, couplés à des données bibliographiques et de terrain ont d’une part permis d’avoir des cartographies monolithologiques de cette zone et d’autre part permis de valider les résultats obtenus après traitements des données satellitales.
Author Keywords: Rapport de bandes, Analyse en composante principale, Lithologie, Reflectance.
How to Cite this Article
Emmanuel L. Lokilo, Daniella K. Kahindo, Tondozi Keto, Kelly K. Nzambe, Michael N. Yang’tshi, Moïse L. Luemba, Meshac B. Ngungu, Ruphin D. Djolu, Hervé Ndaye Mudumbi, Masengo C. Ashande, and Koto-te-Nyiwa Ngbolua, “The contribution of Landsat 8 data in the characterization of lithological units of the West Congolian sub-basin : The Case of Kisantu and its surroundings, Democratic Republic of the Congo,” International Journal of Innovation and Scientific Research, vol. 38, no. 1, pp. 174–184, August 2018.
