Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1609-2022
https://doi.org/10.5194/nhess-22-1609-2022
Research article
 | 
13 May 2022
Research article |  | 13 May 2022

Earthquake-induced landslide monitoring and survey by means of InSAR

Tayeb Smail, Mohamed Abed, Ahmed Mebarki, and Milan Lazecky

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Cited articles

ASF DAAC: Alaska Satellite Facility, https://search.asf.alaska.edu/#/, last access: 26 June 2021. 
ASF DAAC: Sentinel-1, https://search.asf.alaska.edu/, last access: 10 May 2022. 
Bakon, M., Perissin, D., Lazecky, M., and Papco, J.: Infrastructure Non-linear Deformation Monitoring Via Satellite Radar Interferometry, Procedia Technol., 16, 294–300, https://doi.org/10.1016/j.protcy.2014.10.095, 2014. 
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Canaslan Çomut, F., Gürboğa, Ş., and Smail, T.: Estimation of co-seismic land deformation due to Mw 7.3 2017 earthquake in Iran (12 November 2017) using Sentinel-1 DInSAR, Bull. Miner. Res. Explor., 162, 11–30, https://doi.org/10.19111/bulletinofmre.604026, 2020. 
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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 generation of 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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