Paper
20 October 2015 Lithological mapping using multispectral ASTER and Landsat 8 data in the Bas Drâa inlier, Moroccan Anti Atlas
Zakaria Adiri, Abderrazak El Harti, Amine Jellouli, Lhou Maacha, El Mostafa Bachaoui
Author Affiliations +
Abstract
Lithological mapping is one of the fundamental steps in the various mineral prospecting studies, because it forms the basis of the interpretation and validation of retrieved results. Therefore, this study exploited the multispectral ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and Landsat 8 data in order to map lithological units in the Bas Drâa inlier, at the Moroccan Anti atlas. This task was completed by using the 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 maps and previous works on the study area. Consequently, the methodology proposed demonstrates a high potential of ASTER and Landsat 8 data in lithological units discrimination.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zakaria Adiri, Abderrazak El Harti, Amine Jellouli, Lhou Maacha, and El Mostafa Bachaoui "Lithological mapping using multispectral ASTER and Landsat 8 data in the Bas Drâa inlier, Moroccan Anti Atlas", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440L (20 October 2015); https://doi.org/10.1117/12.2193775
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Principal component analysis

Earth observing sensors

Landsat

Barium

Spatial resolution

Absorption

Back to Top