<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Geological mapping undoubtedly plays an important role in several studies and remote sensing data are of great significance in geological mapping, particularly in poorly mapped areas situated in inaccessible regions. In the present study, Principal Component Analysis (PCA), Band Rationing (BR) and Minimum Noise Fraction (MNF) algorithms are applied to map lithological units and extract lineaments in the Amezri-Amassine area, by using multispectral ASTER image and global digital elevation model (GDEM) data for the first time. Following preprocessing of ASTER images, advanced image algorithms such as PCA, BR and MNF analyses are applied to the 9ASTER bands. Validation of the resultant maps has relied on matching lithological boundaries and faults in the study area and on the basis of pre-existing geological maps. In addition to the PCA image, a new band-ratio image, 4/6–5/8–4/5, as adopted in the present work, provides high accuracy in discriminating lithological units. The MNF transformation reveals improvement over previous enhancement techniques, in detailing most rock units in the area. Hence, results derived from the enhancement techniques show a good correlation with the existing litho-structural map of the study area. In addition, the present results have allowed to update this map by identifying new lithological units and structural lineaments. Consequently, the methodology followed here has provided satisfactory results and has demonstrated the high potential of multispectral ASTER data for improving lithological discrimination and lineament extraction.</p>
</abstract>

Geological mapping undoubtedly plays an important role in several studies and remote sensing data are of great significance in geological mapping, particularly in poorly mapped areas situated in inaccessible regions. In the present study, Principal Component Analysis (PCA), Band Rationing (BR) and Minimum Noise Fraction (MNF) algorithms are applied to map lithological units and extract lineaments in the Amezri-Amassine area, by using multispectral ASTER image and global digital elevation model (GDEM) data for the first time. Following preprocessing of ASTER images, advanced image algorithms such as PCA, BR and MNF analyses are applied to the 9ASTER bands. Validation of the resultant maps has relied on matching lithological boundaries and faults in the study area and on the basis of pre-existing geological maps. In addition to the PCA image, a new band-ratio image, 4/6–5/8–4/5, as adopted in the present work, provides high accuracy in discriminating lithological units. The MNF transformation reveals improvement over previous enhancement techniques, in detailing most rock units in the area. Hence, results derived from the enhancement techniques show a good correlation with the existing litho-structural map of the study area. In addition, the present results have allowed to update this map by identifying new lithological units and structural lineaments. Consequently, the methodology followed here has provided satisfactory results and has demonstrated the high potential of multispectral ASTER data for improving lithological discrimination and lineament extraction.

Utilization of ASTER data in lithological and lineament mapping of the southern flank of the Central High Atlas in Morocco

Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT)

University of Cadi Ayyad, Faculty of Sciences Semlalia

Geologos

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Geological mapping undoubtedly plays an important role in several studies and remote sensing data are of great significance in geological mapping, particularly...

Utilization of ASTER data in lithological and lineament mapping of the southern flank of the Central High Atlas in Morocco

Publicado en línea: 08 may 2023

Páginas: 1 - 20

Recibido: 01 oct 2022

Aceptado: 25 feb 2023

DOI: https://doi.org/10.14746/logos.2023.29.1.01

Palabras clave
Amezri-Amassine area, PCA, band ratio, MNF, automatic lineament extraction

© 2023 Maryam Errami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Utilization of ASTER data in lithological and lineament mapping of the southern flank of the Central High Atlas in Morocco

Publicado en línea: 08 may 2023

Páginas: 1 - 20

Recibido: 01 oct 2022

Aceptado: 25 feb 2023

DOI: https://doi.org/10.14746/logos.2023.29.1.01

Palabras claveAmezri-Amassine area, PCA, band ratio, MNF, automatic lineament extraction

© 2023 Maryam Errami et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Palabras clave
Amezri-Amassine area, PCA, band ratio, MNF, automatic lineament extraction