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

• Autorzy: Errami Maryam , Algouti Ahmed , Algouti Abdellah , Farah Abdelouhed , Agli Saloua

Identyfikatory

DOI

10.14746/logos.2023.29.1.01

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Amezri-Amassine area; PCA; Principal Component Analysis; band ratio; MNF; Minimum Noise Fraction; automatic lineament extraction

PL

Amezri; Amassine; PCA; analiza głównych składowych; MNF

• Wydawca: Uniwersytet im. Adama Mickiewicza. Instytut Geologii
• Czasopismo: Geologos
• Rocznik: 2023
• Tom: Vol. 29, No. 1
• Strony: 1--20
• Opis fizyczny: Bibliogr. 47 poz.

Twórcy

autor

Errami Maryam

• Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT), University of Cadi Ayyad, Faculty of Sciences Semlalia, BP 2390, 40000, Marrakesh, Morocco

autor

Algouti Ahmed

• Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT), University of Cadi Ayyad, Faculty of Sciences Semlalia, BP 2390, 40000, Marrakesh, Morocco

autor

Algouti Abdellah

• Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT), University of Cadi Ayyad, Faculty of Sciences Semlalia, BP 2390, 40000, Marrakesh, Morocco

autor

Farah Abdelouhed

• Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT), University of Cadi Ayyad, Faculty of Sciences Semlalia, BP 2390, 40000, Marrakesh, Morocco

autor

Agli Saloua

• Department of Geology, Geosciences Geotourism Natural Hazards and Remote Sensing Laboratory (2GRNT), University of Cadi Ayyad, Faculty of Sciences Semlalia, BP 2390, 40000, Marrakesh, Morocco

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).