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

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