Issue |
E3S Web Conf.
Volume 607, 2025
6th International Conference of GIS USERS (ERRACHIDIA GIS-USERS’2024)
|
|
---|---|---|
Article Number | 01002 | |
Number of page(s) | 8 | |
Section | Geology-Natural Resources-Heritage | |
DOI | https://doi.org/10.1051/e3sconf/202560701002 | |
Published online | 22 January 2025 |
Comparative analysis of SAR sensors for effective tectonic lineament mapping in semiarid region
1 Team of Remote Sensing and GIS, Faculty of Sciences and Techniques, PO BOX 523, Beni Mellal, Morocco.
2 Research Group on Geography and Development, Faculty of Arts and Humanities, Abdelmalek Saadi University; Morocco.
3 Natural Resources and Sustainable Development Laboratory, Geosciences and Environment Team, Faculty of Science, Ibn Tofail University, Kenitra, Morocco.
4 SHOM (DOPS/STM/REC), Toulouse, France.
* Corresponding author: chakouri.mohcine@gmail.com
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.
Key words: Lineament extraction / Remote sensing / Radar / Digital Elevation Model
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.