| Issue |
BIO Web Conf.
Volume 115, 2024
2nd Edition of the International Conference on “Natural Resources and Sustainable Development” (RENA23)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 7 | |
| Section | Satellite Remote Sensing for an Effective Natural Resource Management | |
| DOI | https://doi.org/10.1051/bioconf/202411501003 | |
| Published online | 25 June 2024 | |
Study of vulnerable zones to soil instability by radar remote sensing, case of the Temsamane region in north Morocco
1 Naturals Resources and Environment Laboratory, Polydisciplinary Faculty of Taza, Sidi Mohamed Ben Abdellah University, Fez, Morocco
2 Functional Ecology and Environment Engineering Laboratory, Faculty of Sciences and Techniques, University of Sidi Mohammed Ben Abdellah, Fez, 30000, Morocco
* Corresponding author: mourjanemohammed@gmail.com
The Temsamane massif is part of the external Rif of Morocco and is distinguished by more intense deformations, linked to its topographical, lithological and structural characteristics. Many natural hazard phenomena, and therefore damage and loss of resources and people, are present. The detailed work on these activities remains much localized using traditional techniques. The analysis using differential interferometry techniques of Synthetic Aperture Radar (SAR) images (DINSAR) made it possible to determine the instability and vulnerability to subsidence risks from two images from the Sentinel satellite of two different years (2018 and 2022). The results obtained show the presence of some areas of subsidence in the urban sector, the continuation of shrinkage and slight uplift in the relief areas, and generally instability in rural areas.
Key words: Radar Interferometry / DINSAR / Subsidence / Uprising / Temsamane / External Rif / Morocco
© The Authors, published by EDP Sciences, 2024
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.