Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1609-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1609-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
13 May 2022
Research article |
| 13 May 2022
| 13 May 2022
Earthquake-induced landslide monitoring and survey by means of InSAR
Department of Civil Engineering, University of Blida 1, Blida City, Algeria
Mohamed Abed
Department of Civil Engineering, University of Blida 1, Blida City, Algeria
Ahmed Mebarki
CORRESPONDING AUTHOR
University Gustave Eiffel, UPEC, CNRS, Laboratory Multi Scale and Simulation (MSME/UMR 8208), 5 blvd Descartes, 77454 Marne-la-Vallée, France
Jiangsu Key Laboratory of Hazardous Chemicals Safety and Control, Nanjing Tech University, 5 New Mofan Rd, Gulou, Nanjing, 211816, Jiangsu, China
Milan Lazecky
IT4Innovations, VSB-TU Ostrava, 17, Listopadu 15, 70833 Ostrava-Poruba, Czech Republic
School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK
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22 citations as recorded by crossref.
- A case study for emergency management and urban resilience under seismic risks. Part III: an integrated digital platform for Digital Inspection and Monitoring Assistant (DIMA) A. Mebarki et al. 10.48130/emst-0024-0028
- Improved Landslide Deformation Prediction Using Convolutional Neural Network–Gated Recurrent Unit and Spatial–Temporal Data H. Yang et al. 10.3390/rs17040727
- Four years of landslide observation with anthropogenic loading as an additional trigger - Analysis of seasonal and annual variability of physical parameters A. Marciniak et al. 10.1016/j.enggeo.2024.107761
- Post-earthquake damage classification and assessment: case study of the residential buildings after the Mw = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020 H. Mouloud et al. 10.1007/s10518-022-01568-9
- Emergency management and urban resilience under seismic risks. Part I: Theoretical approach for quick post-quake damage evaluation of buildings A. Mebarki et al. 10.48130/emst-0024-0027
- Identification and hazard analysis of landslides triggered by earthquakes and rainfall L. Li et al. 10.1016/j.eqrea.2023.100272
- Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data B. Yang et al. 10.3390/rs16183383
- Emergency management and urban resilience under seismic risks. Part II: validation and sensitivity analysis for buildings seismic damage evaluation A. Mebarki & S. Jerez 10.48130/emst-0024-0025
- Probabilistic and Deterministic Seismic Hazard Assessments for Northeast Algeria: Insights into the Damaging Impact of the August 7, 2020 (Mw 5.0) Mila Earthquake M. Hamidatou et al. 10.1007/s00024-024-03593-y
- Integrated PSInSAR and SBAS-InSAR analysis for landslide detection and monitoring S. Hussain et al. 10.1016/j.pce.2025.103956
- Surface Displacements Monitoring in Cyprus via InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages S. Alatza et al. 10.3390/rs16060960
- Analysing slope dynamics of Kaleköy (Türkiye) dam reservoir with Sentinel-1 SAR time series and Sentinel-2 spectral indices B. Tavus et al. 10.1007/s12665-024-11807-8
- Landslide susceptibility assessment in the Rif-Tell orogenic belt region (NW Africa) from a PGA, PGV and AI probabilistic seismic hazard analysis J. Peláez et al. 10.1016/j.soildyn.2025.109395
- Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage H. Liu et al. 10.1080/19475705.2025.2492329
- Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece S. Alatza et al. 10.3390/rs17071161
- Dynamic landslide susceptibility mapping on time-series InSAR and explainable machine learning: a case study at Wushan in the Three Gorges Reservoir area, China N. Lin et al. 10.1016/j.asr.2025.03.067
- Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. 10.3390/rs16152781
- Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review Y. Cheng et al. 10.3390/rs17060999
- Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach N. Kopiika et al. 10.1016/j.autcon.2024.105955
- Automatic landslide prioritization at regional scale through PS-InSAR cluster analysis and socio-economic impacts M. Zocchi et al. 10.1016/j.rsase.2024.101414
- Seismic and geomorphic assessment for coseismic landslides zonation in tropical volcanic contexts M. Arroyo-Solórzano et al. 10.1007/s11069-022-05492-8
- Statistical-based methods for landslides susceptibility mapping in the Wilaya of Mila (northeast Algeria) S. Ahmed et al. 10.1007/s12040-024-02469-y
20 citations as recorded by crossref.
- A case study for emergency management and urban resilience under seismic risks. Part III: an integrated digital platform for Digital Inspection and Monitoring Assistant (DIMA) A. Mebarki et al. 10.48130/emst-0024-0028
- Improved Landslide Deformation Prediction Using Convolutional Neural Network–Gated Recurrent Unit and Spatial–Temporal Data H. Yang et al. 10.3390/rs17040727
- Four years of landslide observation with anthropogenic loading as an additional trigger - Analysis of seasonal and annual variability of physical parameters A. Marciniak et al. 10.1016/j.enggeo.2024.107761
- Post-earthquake damage classification and assessment: case study of the residential buildings after the Mw = 5 earthquake in Mila city, Northeast Algeria on August 7, 2020 H. Mouloud et al. 10.1007/s10518-022-01568-9
- Emergency management and urban resilience under seismic risks. Part I: Theoretical approach for quick post-quake damage evaluation of buildings A. Mebarki et al. 10.48130/emst-0024-0027
- Identification and hazard analysis of landslides triggered by earthquakes and rainfall L. Li et al. 10.1016/j.eqrea.2023.100272
- Reconstruction of Coal Mining Subsidence Field by Fusion of SAR and UAV LiDAR Deformation Data B. Yang et al. 10.3390/rs16183383
- Emergency management and urban resilience under seismic risks. Part II: validation and sensitivity analysis for buildings seismic damage evaluation A. Mebarki & S. Jerez 10.48130/emst-0024-0025
- Probabilistic and Deterministic Seismic Hazard Assessments for Northeast Algeria: Insights into the Damaging Impact of the August 7, 2020 (Mw 5.0) Mila Earthquake M. Hamidatou et al. 10.1007/s00024-024-03593-y
- Integrated PSInSAR and SBAS-InSAR analysis for landslide detection and monitoring S. Hussain et al. 10.1016/j.pce.2025.103956
- Surface Displacements Monitoring in Cyprus via InSAR and Field Investigation: The Case Studies of Pyrgos-Parekklisia and Pedoulas Villages S. Alatza et al. 10.3390/rs16060960
- Analysing slope dynamics of Kaleköy (Türkiye) dam reservoir with Sentinel-1 SAR time series and Sentinel-2 spectral indices B. Tavus et al. 10.1007/s12665-024-11807-8
- Landslide susceptibility assessment in the Rif-Tell orogenic belt region (NW Africa) from a PGA, PGV and AI probabilistic seismic hazard analysis J. Peláez et al. 10.1016/j.soildyn.2025.109395
- Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage H. Liu et al. 10.1080/19475705.2025.2492329
- Harnessing InSAR and Machine Learning for Geotectonic Unit-Specific Landslide Susceptibility Mapping: The Case of Western Greece S. Alatza et al. 10.3390/rs17071161
- Dynamic landslide susceptibility mapping on time-series InSAR and explainable machine learning: a case study at Wushan in the Three Gorges Reservoir area, China N. Lin et al. 10.1016/j.asr.2025.03.067
- Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. 10.3390/rs16152781
- Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review Y. Cheng et al. 10.3390/rs17060999
- Rapid post-disaster infrastructure damage characterisation using remote sensing and deep learning technologies: A tiered approach N. Kopiika et al. 10.1016/j.autcon.2024.105955
- Automatic landslide prioritization at regional scale through PS-InSAR cluster analysis and socio-economic impacts M. Zocchi et al. 10.1016/j.rsase.2024.101414
2 citations as recorded by crossref.
- Seismic and geomorphic assessment for coseismic landslides zonation in tropical volcanic contexts M. Arroyo-Solórzano et al. 10.1007/s11069-022-05492-8
- Statistical-based methods for landslides susceptibility mapping in the Wilaya of Mila (northeast Algeria) S. Ahmed et al. 10.1007/s12040-024-02469-y
Latest update: 08 May 2025
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.
The Sentinel-1 SAR datasets and Sentinel-2 data are used in this study to investigate the impact...
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