Preprints
https://doi.org/10.5194/nhess-2021-208
https://doi.org/10.5194/nhess-2021-208

  15 Jul 2021

15 Jul 2021

Review status: this preprint is currently under review for the journal NHESS.

Earthquake-induced landslides monitoring and survey by means of InSAR

Tayeb Smail1, Mohamed Abed1, Ahmed Mebarki2,3, and Milan Lazecky4,5 Tayeb Smail et al.
  • 1Department of Civil Engineering, Saad Dahlab University, Blida City, Algeria
  • 2University Gustave Eiffel, Laboratory Multi Scale Modeling and Simulation (UMR 8208 CNRS/UPEC/U.Eiffel), 5 Bd Descartes, 77454, Marne-La-Vallee, France
  • 3Nanjing Tech University, 5 New Mofan Rd, Gulou, Nanjing, Jiangsu, Chine - Permanent Guest Professor within “High-Level Foreign Talents Programme” grant
  • 4IT4Innovations, VSB-TU Ostrava, 17, Listopadu 15, 70833 Ostrava-Poruba, Czech Republic
  • 5School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

Abstract. This study uses interferometric SAR techniques to identify landslides and lands prone to landslides, detect fringes and changes in areas struck by earthquakes. The pilot study investigates the Mila region (Algeria) which suffered significant landslides and structural damages (earthquake: Mw 5, 2020-08-07): the study checks ground deformations and tracks earthquake-induced landslides. DInSAR analysis shows normal interferograms, with atmospheric contribution, and slight fringes. However, it identifies many landslides, the most important (2.5 m displacement) being located in Kherba neighborhood, causing severe damages to dwellings. In addition, SAR images and optical images (Sentinel-2) confirm site investigations. Although in Grarem City, optical images could not detect any disorder, the DInSAR analysis detected some coherence decays and small fringes (3.94 km2 area). These unnoticed ground disorders were confirmed during fields inspection. Such results have key importance since they can serve as an alert to monitor the zone at the proper time. Furthermore, Displacement time series analysis of many interferograms (April 2015 to September 2020) using LiCSBAS were performed to investigate the pre-event conditions and precursors of the slopes instabilities., LiCSBAS detects a line-of-sight subsidence velocity of −110 mm/y in the back hillside of Kherba, and high displacement velocity at specific points in Grarem region.

Tayeb Smail et al.

Status: open (until 26 Aug 2021)

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Tayeb Smail et al.

Tayeb Smail et al.

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Short summary
The Sentinel-1 SAR datasets and Sentinel-2 data are used in this study to investigate the impact of natural hazards (earthquakes and landslides) on struck areas. In InSAR processing, the use of DInSAR, CCD methods, and the LiCSBAS tool permit to generate time series analysis of ground changes. Three land failures were detected in the study area. CCD is suitable to map landslides that may remain undetected using DInSAR. In Grarem, the failure rim is clear in Coherence and Phase maps.
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