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Journal of Applied Remote Sensing

Lithological mapping using Landsat 8 OLI and Terra ASTER multispectral data in the Bas Drâa inlier, Moroccan Anti Atlas
Author(s): Zakaria Adiri; Abderrazak El Harti; Amine Jellouli; Lhou Maacha; El Mostafa Bachaoui
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Paper Abstract

Lithological mapping is a fundamental step in various mineral prospecting studies because it forms the basis of the interpretation and validation of retrieved results. Therefore, this study exploited the multispectral Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Landsat 8 Operational Land Imager (OLI) data in order to map lithological units in the Bas Drâa inlier, at the Moroccan Anti Atlas. This task was completed by using principal component analysis (PCA), band ratios (BR), and support vector machine (SVM) classification. Overall accuracy and the kappa coefficient of SVM based on ground truth in addition to the results of PCA and BR show an excellent correlation with the existing geological map of the study area. Consequently, the methodology proposed demonstrates a high potential of ASTER and Landsat 8 OLI data in lithological units discrimination.

Paper Details

Date Published: 20 January 2016
PDF: 14 pages
J. Appl. Remote Sens. 10(1) 016005 doi: 10.1117/1.JRS.10.016005
Published in: Journal of Applied Remote Sensing Volume 10, Issue 1
Show Author Affiliations
Zakaria Adiri, Faculty of Science and Technology Beni Mellal (Morocco)
Abderrazak El Harti, Faculty of Science and Technology Beni Mellal (Morocco)
Amine Jellouli, Faculty of Science and Technology Beni Mellal (Morocco)
Lhou Maacha, Managem Group (Morocco)
El Mostafa Bachaoui, Faculty of Science and Technology Beni Mellal (Morocco)


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