Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco

Lithological and lineament mapping using remote sensing is a fundamental step in various geological studies, as it forms the basis for the interpretation and validation of the results obtained. There were two objectives for this study, applied in the Imini-Ounilla-Asfalou district, South High Atlas...

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Main Authors: Farah Abdelouhed, Algouti Ahmed, Algouti Abdellah, El badaoui Kamal, Errami Maryam, Ifkirne Mohammed
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/16/e3sconf_joe2021_04002.pdf
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spelling doaj-ec5c8bd38af7425ba12accd701d854032021-04-06T13:46:58ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012400400210.1051/e3sconf/202124004002e3sconf_joe2021_04002Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, MoroccoFarah Abdelouhed0Algouti Ahmed1Algouti Abdellah2El badaoui Kamal3Errami Maryam4Ifkirne Mohammed5University of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryUniversity of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryUniversity of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryUniversity of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryUniversity of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryUniversity of Cadi Ayyad, Faculty of Sciences Semlalia, Department of Geology, Geoscience Geotourism Natural Hazards and Remote Sensing LaboratoryLithological and lineament mapping using remote sensing is a fundamental step in various geological studies, as it forms the basis for the interpretation and validation of the results obtained. There were two objectives for this study, applied in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech region: first, lithological mapping by satellite image processing techniques such as ASTER L1B (hight spectral and spatial resolution), namely Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), as well as the application of three types of supervised classification, namely Spectral Angle Mapper (SAM), Maximum Likelihood (ML) and Minimum Distance (MD), on the visible/near-infrared (VNIR) and short-wave infrared (SWIR) spectral bands of our ASTER image; second, an analysis of the distribution of lineaments by automatic extraction using a Global Digital Elevation Model (GDEM) and the PC1 image derived from the PCA transformation applied to the satellite image. The best results are highlighted by the delineation of new facies in relation to the existing map; after confirmation in the field, all of these facies, which include Eocene, Triassic and Jurassic formations, are represented on the new map. The results of lineaments showed that each of them systematically shows a similarity in terms of concentration and orientation, with four preferential oriented systems: NE-SW, E-W, NNE-SSW and NW-SE. The lineaments mainly follow those of the major fault zones, with high concentrations in the northeast and southwest parts of the study area.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/16/e3sconf_joe2021_04002.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Farah Abdelouhed
Algouti Ahmed
Algouti Abdellah
El badaoui Kamal
Errami Maryam
Ifkirne Mohammed
spellingShingle Farah Abdelouhed
Algouti Ahmed
Algouti Abdellah
El badaoui Kamal
Errami Maryam
Ifkirne Mohammed
Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
E3S Web of Conferences
author_facet Farah Abdelouhed
Algouti Ahmed
Algouti Abdellah
El badaoui Kamal
Errami Maryam
Ifkirne Mohammed
author_sort Farah Abdelouhed
title Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
title_short Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
title_full Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
title_fullStr Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
title_full_unstemmed Lithological mapping and automatic lineament extraction using Aster and Gdem data in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech, Morocco
title_sort lithological mapping and automatic lineament extraction using aster and gdem data in the imini-ounilla-asfalou district, south high atlas of marrakech, morocco
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description Lithological and lineament mapping using remote sensing is a fundamental step in various geological studies, as it forms the basis for the interpretation and validation of the results obtained. There were two objectives for this study, applied in the Imini-Ounilla-Asfalou district, South High Atlas of Marrakech region: first, lithological mapping by satellite image processing techniques such as ASTER L1B (hight spectral and spatial resolution), namely Principal Component Analysis (PCA), Minimum Noise Fraction (MNF), as well as the application of three types of supervised classification, namely Spectral Angle Mapper (SAM), Maximum Likelihood (ML) and Minimum Distance (MD), on the visible/near-infrared (VNIR) and short-wave infrared (SWIR) spectral bands of our ASTER image; second, an analysis of the distribution of lineaments by automatic extraction using a Global Digital Elevation Model (GDEM) and the PC1 image derived from the PCA transformation applied to the satellite image. The best results are highlighted by the delineation of new facies in relation to the existing map; after confirmation in the field, all of these facies, which include Eocene, Triassic and Jurassic formations, are represented on the new map. The results of lineaments showed that each of them systematically shows a similarity in terms of concentration and orientation, with four preferential oriented systems: NE-SW, E-W, NNE-SSW and NW-SE. The lineaments mainly follow those of the major fault zones, with high concentrations in the northeast and southwest parts of the study area.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/16/e3sconf_joe2021_04002.pdf
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