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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EDP Sciences
2025-01-01
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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. |
format | Article |
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 |
work_keys_str_mv | AT chakourimohcine comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT jellouliamine comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT hajajsoufiane comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT elhachimijaouad comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT ouguinazabdelkarim comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT aangriabdelhaq comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion AT elhartiabderrazak comparativeanalysisofsarsensorsforeffectivetectoniclineamentmappinginsemiaridregion |