Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco

The Saka region and its environs are situated in the northeastern part of Morocco. This study aims To optimize automated lineament extraction based on the comparing of Landsat-8 optical satellite data with Sentinel-2B for enhanced analysis. The research delves into the structural lineaments within t...

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Main Authors: Abdallah Elaaraj, Ali Lhachmi, Hassan Tabyaoui, Abdennabi Alitane, Yassine Elyousfi
Format: Article
Language:English
Published: Polish Society of Ecological Engineering (PTIE) 2024-02-01
Series:Ecological Engineering & Environmental Technology
Subjects:
Online Access:http://www.ecoeet.com/Highlighting-Volcanic-Outcrops-by-Mapping-Geological-Lineaments-Using-Satellite-Data,175786,0,2.html
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author Abdallah Elaaraj
Ali Lhachmi
Hassan Tabyaoui
Abdennabi Alitane
Yassine Elyousfi
author_facet Abdallah Elaaraj
Ali Lhachmi
Hassan Tabyaoui
Abdennabi Alitane
Yassine Elyousfi
author_sort Abdallah Elaaraj
collection DOAJ
description The Saka region and its environs are situated in the northeastern part of Morocco. This study aims To optimize automated lineament extraction based on the comparing of Landsat-8 optical satellite data with Sentinel-2B for enhanced analysis. The research delves into the structural lineaments within the Saka region, with the objective of advancing our understanding of lineament extraction techniques. Remote sensing techniques are employed to extract and map these lineaments Furthermore, the study seeks to elucidate the distribution and genesis of volcanism in the Saka region and its surroundings in the context of geodynamics. The availability of optical and multispectralremote sensing datasets, including those from Landsat-8 OLI and Sentinel-2B, characterized by medium and high spatial resolutions, , enhances the efficiency and simplicity of lineament mapping—an essential component of any structural geological investigation. However, due to differences in spatial resolution and sensitivity to land cover. The outcomes derived from these diverse data sources with varying resolutions display variability. The spatial resolution of the images significantly influences the precision and clarity of the retrieved lineaments. The findings underscore a strong correlation between lineament directions (primarily NE-SW, E-W, NW-SE) and faults, which is, correspond to the distribution of volcanic outcrops in the Saka area and its vicinity For validation purposes, the lineaments extracted through directional filtering were compared to manually obtained lineaments, alongside lineaments digitized from the pre-existing neotectonic map (faults) as well as satellite images depicting lineaments in the study area . Density analysis is employed to Investigate the correlation between the concentration of lineaments and the distribution of pre-existing faults . Additionally, the geological map is utilized to refine the correlation between density distribution and the spatial orientations of volcanic rock formations in the study area.
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spelling doaj.art-11a2478d71854c078a08a286f79ef4652023-12-30T13:46:11ZengPolish Society of Ecological Engineering (PTIE)Ecological Engineering & Environmental Technology2719-70502024-02-01252546910.12912/27197050/175786175786Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East MoroccoAbdallah Elaaraj0https://orcid.org/0000-0001-6190-0641Ali Lhachmi1https://orcid.org/0009-0008-5401-7023Hassan Tabyaoui2https://orcid.org/0000-0002-9147-955XAbdennabi Alitane3https://orcid.org/0000-0003-4695-0338Yassine Elyousfi4https://orcid.org/0000-0002-5003-2604Polydisciplinary Faculty of Taza, Natural Resources and Environment Laboratory, Department of Geology, Sidi Mohamed Ben Abdellah University, 1223, Fez, MoroccoPolydisciplinary Faculty of Taza, Natural Resources and Environment Laboratory, Department of Geology, Sidi Mohamed Ben Abdellah University, 1223, Fez, MoroccoPolydisciplinary Faculty of Taza, Natural Resources and Environment Laboratory, Department of Geology, Sidi Mohamed Ben Abdellah University, 1223, Fez, MoroccoFaculty of Sciences, Geoengineering and Environment Laboratory, Research Group “Water Sciences and Environment Engineering”, Department of Geology, Moulay Ismail University, 50050, Meknes, MoroccoNational School of Applied Sciences Al Hoceima, Water and Environment Management, Laboratory of Applied Sciences (LSA), Abdelmalek Essaadi University, 93030, Tétouan, MoroccoThe Saka region and its environs are situated in the northeastern part of Morocco. This study aims To optimize automated lineament extraction based on the comparing of Landsat-8 optical satellite data with Sentinel-2B for enhanced analysis. The research delves into the structural lineaments within the Saka region, with the objective of advancing our understanding of lineament extraction techniques. Remote sensing techniques are employed to extract and map these lineaments Furthermore, the study seeks to elucidate the distribution and genesis of volcanism in the Saka region and its surroundings in the context of geodynamics. The availability of optical and multispectralremote sensing datasets, including those from Landsat-8 OLI and Sentinel-2B, characterized by medium and high spatial resolutions, , enhances the efficiency and simplicity of lineament mapping—an essential component of any structural geological investigation. However, due to differences in spatial resolution and sensitivity to land cover. The outcomes derived from these diverse data sources with varying resolutions display variability. The spatial resolution of the images significantly influences the precision and clarity of the retrieved lineaments. The findings underscore a strong correlation between lineament directions (primarily NE-SW, E-W, NW-SE) and faults, which is, correspond to the distribution of volcanic outcrops in the Saka area and its vicinity For validation purposes, the lineaments extracted through directional filtering were compared to manually obtained lineaments, alongside lineaments digitized from the pre-existing neotectonic map (faults) as well as satellite images depicting lineaments in the study area . Density analysis is employed to Investigate the correlation between the concentration of lineaments and the distribution of pre-existing faults . Additionally, the geological map is utilized to refine the correlation between density distribution and the spatial orientations of volcanic rock formations in the study area.http://www.ecoeet.com/Highlighting-Volcanic-Outcrops-by-Mapping-Geological-Lineaments-Using-Satellite-Data,175786,0,2.htmlvolcanic rockslandsat-8olisentinel-2bautomatic lineament extractionmapping lineamentssaka
spellingShingle Abdallah Elaaraj
Ali Lhachmi
Hassan Tabyaoui
Abdennabi Alitane
Yassine Elyousfi
Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
Ecological Engineering & Environmental Technology
volcanic rocks
landsat-8oli
sentinel-2b
automatic lineament extraction
mapping lineaments
saka
title Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
title_full Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
title_fullStr Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
title_full_unstemmed Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
title_short Highlighting Volcanic Outcrops by Mapping Geological Lineaments Using Satellite Data in the Saka Region, North-East Morocco
title_sort highlighting volcanic outcrops by mapping geological lineaments using satellite data in the saka region north east morocco
topic volcanic rocks
landsat-8oli
sentinel-2b
automatic lineament extraction
mapping lineaments
saka
url http://www.ecoeet.com/Highlighting-Volcanic-Outcrops-by-Mapping-Geological-Lineaments-Using-Satellite-Data,175786,0,2.html
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