20 January 2016 Lithological mapping using Landsat 8 OLI and Terra ASTER multispectral data in the Bas Drâa inlier, Moroccan Anti Atlas
Zakaria Adiri, Abderrazak El Harti, Amine Jellouli, Lhou Maacha, El Mostafa Bachaoui
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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.
© 2016 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2016/$25.00 © 2016 SPIE
Zakaria Adiri, Abderrazak El Harti, Amine Jellouli, Lhou Maacha, and El Mostafa Bachaoui "Lithological mapping using Landsat 8 OLI and Terra ASTER multispectral data in the Bas Drâa inlier, Moroccan Anti Atlas," Journal of Applied Remote Sensing 10(1), 016005 (20 January 2016). https://doi.org/10.1117/1.JRS.10.016005
Published: 20 January 2016
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Cited by 55 scholarly publications.
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KEYWORDS
Earth observing sensors

Landsat

Absorption

Associative arrays

Sensors

Principal component analysis

Reflectivity

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