Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region

The progression and refinement of remote sensing techniques now allow the extraction of geological lineaments without traditional methods. This study aims to detect lineaments using Synthetic Aperture Radar (SAR) data from three sensors with different bands: Alos-Palsar, Radarsat-1, and Sentinel-1....

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Main Authors: Chakouri Mohcine, Jellouli Amine, Hajaj Soufiane, El Hachimi Jaouad, Ouguinaz Abdelkarim, Aangri Abdelhaq, El Harti Abderrazak
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:E3S Web of Conferences
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Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_01002.pdf
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author Chakouri Mohcine
Jellouli Amine
Hajaj Soufiane
El Hachimi Jaouad
Ouguinaz Abdelkarim
Aangri Abdelhaq
El Harti Abderrazak
author_facet Chakouri Mohcine
Jellouli Amine
Hajaj Soufiane
El Hachimi Jaouad
Ouguinaz Abdelkarim
Aangri Abdelhaq
El Harti Abderrazak
author_sort Chakouri Mohcine
collection DOAJ
description The progression and refinement of remote sensing techniques now allow the extraction of geological lineaments without traditional methods. This study aims to detect lineaments using Synthetic Aperture Radar (SAR) data from three sensors with different bands: Alos-Palsar, Radarsat-1, and Sentinel-1. Automatic lineament extraction is performed by combining two different parameters along with the Palsar Digital Elevation Model in order to recommend the most powerful sensor for this task. The methodology involves relating the length, number, orientation, and density of lineaments to surface features such as slope, lithology, and discontinuities. The results of this evaluation show that the lineaments obtained of both polarizations of sentinel correlate better with geological units, the orientation of the tectonic system, shadow and slope maps. This is attributable to the high efficiency of VH polarization, which is not dependent on soil characteristics, in comparison with other polarizations that overestimated lineaments with different directions.
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id doaj-art-1cba1fe517864afdace401d0ba893f0b
institution Kabale University
issn 2267-1242
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj-art-1cba1fe517864afdace401d0ba893f0b2025-02-05T10:49:23ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016070100210.1051/e3sconf/202560701002e3sconf_errachidia2024_01002Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid regionChakouri Mohcine0Jellouli Amine1Hajaj Soufiane2El Hachimi Jaouad3Ouguinaz Abdelkarim4Aangri Abdelhaq5El Harti Abderrazak6Team of Remote Sensing and GIS, Faculty of Sciences and TechniquesTeam of Remote Sensing and GIS, Faculty of Sciences and TechniquesTeam of Remote Sensing and GIS, Faculty of Sciences and TechniquesTeam of Remote Sensing and GIS, Faculty of Sciences and TechniquesResearch Group on Geography and Development, Faculty of Arts and Humanities, Abdelmalek Saadi University;Natural Resources and Sustainable Development Laboratory, Geosciences and Environment Team, Faculty of Science, Ibn Tofail UniversityTeam of Remote Sensing and GIS, Faculty of Sciences and TechniquesThe progression and refinement of remote sensing techniques now allow the extraction of geological lineaments without traditional methods. This study aims to detect lineaments using Synthetic Aperture Radar (SAR) data from three sensors with different bands: Alos-Palsar, Radarsat-1, and Sentinel-1. Automatic lineament extraction is performed by combining two different parameters along with the Palsar Digital Elevation Model in order to recommend the most powerful sensor for this task. The methodology involves relating the length, number, orientation, and density of lineaments to surface features such as slope, lithology, and discontinuities. The results of this evaluation show that the lineaments obtained of both polarizations of sentinel correlate better with geological units, the orientation of the tectonic system, shadow and slope maps. This is attributable to the high efficiency of VH polarization, which is not dependent on soil characteristics, in comparison with other polarizations that overestimated lineaments with different directions.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_01002.pdflineament extractionremote sensingradardigital elevation model
spellingShingle Chakouri Mohcine
Jellouli Amine
Hajaj Soufiane
El Hachimi Jaouad
Ouguinaz Abdelkarim
Aangri Abdelhaq
El Harti Abderrazak
Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
E3S Web of Conferences
lineament extraction
remote sensing
radar
digital elevation model
title Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
title_full Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
title_fullStr Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
title_full_unstemmed Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
title_short Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
title_sort comparative analysis of sar sensors for effective tectonic lineament mapping in semiarid region
topic lineament extraction
remote sensing
radar
digital elevation model
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/07/e3sconf_errachidia2024_01002.pdf
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AT jellouliamine comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion
AT hajajsoufiane comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion
AT elhachimijaouad comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion
AT ouguinazabdelkarim comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion
AT aangriabdelhaq comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion
AT elhartiabderrazak comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion