Articles | Volume 7, issue 2
https://doi.org/10.5194/esurf-7-439-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-439-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 May 2019
Research article |
| 21 May 2019
| 21 May 2019
Testing a failure surface prediction and deposit reconstruction method for a landslide cluster that occurred during Typhoon Talas (Japan)
Michel Jaboyedoff
CORRESPONDING AUTHOR
Risk-group, ISTE-FGSE, University of Lausanne, 1015 Lausanne, Switzerland
Masahiro Chigira
Mountain Hazard Section, Disaster Prevention Research
Institute, Kyoto University Gokasho, Uji 611-0011, Japan
Noriyuki Arai
Mountain Hazard Section, Disaster Prevention Research
Institute, Kyoto University Gokasho, Uji 611-0011, Japan
Marc-Henri Derron
Risk-group, ISTE-FGSE, University of Lausanne, 1015 Lausanne, Switzerland
Benjamin Rudaz
Risk-group, ISTE-FGSE, University of Lausanne, 1015 Lausanne, Switzerland
Ching-Ying Tsou
Department of Agricultural and Environmental Engineering,
Faculty of Agriculture and Life Science, Hirosaki University, 3 Bunkyo-cho,
Hirosaki, Aomori 036-8561, Japan
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Cited
20 citations as recorded by crossref.
- Dynamic numerical modelling of co-seismic landslides using the 3D distinct element method: Insights from the Balta rockslide (Romania) A. Mreyen et al. 10.1016/j.enggeo.2022.106774
- How volcanic stratigraphy constrains headscarp collapse scenarios: the Samperre cliff case study (Martinique island, Lesser Antilles) M. Peruzzetto et al. 10.5194/nhess-22-3973-2022
- Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan J. Zhang et al. 10.3390/ijgi14060218
- Displacement characterization of active landslides near the Gushui Hydropower Station using multi-temporal SAR imageries Y. Zhang et al. 10.1007/s10346-025-02543-6
- A Method for Automatic Assessment of Rockfall Susceptibility Based on High-Resolution Point Clouds J. Chen et al. 10.1007/s00603-023-03651-2
- A method to assess the probability of thickness and volume estimates of small and shallow initial landslide ruptures based on surface area C. Meier et al. 10.1007/s10346-020-01347-0
- A block theory-based method for identifying the boundaries and movement modes of potential unstable bodies in rock slopes Q. Hou et al. 10.1007/s00603-025-04722-2
- A Framework of Linear Sensor Networks with Unmanned Aerial Vehicle for Rainfall-Induced Landslides Detection B. Yang et al. 10.1142/S0219455420420171
- Assessing the rock failure return period on an unstable Alpine rock wall based on volume-frequency relationships: The Brenva Spur (3916 m a.s.l., Aosta Valley, Italy) L. Fei et al. 10.1016/j.enggeo.2023.107239
- Analysis of the Influence of Structural Geology on the Massive Seismic Slope Failure Potential Supported by Numerical Modelling E. Lemaire et al. 10.3390/geosciences10080323
- Dynamic Numerical Modelling of Co-Seismic Landslides Using the 3D Distinct Element Method: Insights from the Balta Rockslide (Romania) A. Mreyen et al. 10.2139/ssrn.4001116
- A review of methods used to estimate initial landslide failure surface depths and volumes M. Jaboyedoff et al. 10.1016/j.enggeo.2020.105478
- Stability evaluation of shallow blocks in high and steep slope combining TLS and UAV photogrammetry J. Chen et al. 10.1080/19475705.2025.2464052
- Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface C. Ko et al. 10.3389/feart.2021.733413
- A Bayesian approach to develop simple run-out distance models: loess landslides in Heifangtai Terrace, Gansu Province, China X. Sun et al. 10.1007/s10346-022-01965-w
- Assessing the landslide failure surface depth and volume: A new spline interpolation method J. Singh & S. Sepúlveda 10.1016/j.enggeo.2025.108319
- Multiple geophysical investigations to characterize massive slope failure deposits: application to the Balta rockslide, Carpathians A. Mreyen et al. 10.1093/gji/ggab028
- Pre-landslide topographic reconstruction in Baetis Chaos, mars using a CaSSIS Digital Elevation Model A. Guimpier et al. 10.1016/j.pss.2022.105505
- An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA) C. Wang et al. 10.3390/w14152400
- An Integrated Approach for Emergency Response and Long-Term Prevention for Rainfall-Induced Landslide Clusters W. Zhao et al. 10.3390/rs17142406
20 citations as recorded by crossref.
- Dynamic numerical modelling of co-seismic landslides using the 3D distinct element method: Insights from the Balta rockslide (Romania) A. Mreyen et al. 10.1016/j.enggeo.2022.106774
- How volcanic stratigraphy constrains headscarp collapse scenarios: the Samperre cliff case study (Martinique island, Lesser Antilles) M. Peruzzetto et al. 10.5194/nhess-22-3973-2022
- Exploring the Application of NeRF in Enhancing Post-Disaster Response: A Case Study of the Sasebo Landslide in Japan J. Zhang et al. 10.3390/ijgi14060218
- Displacement characterization of active landslides near the Gushui Hydropower Station using multi-temporal SAR imageries Y. Zhang et al. 10.1007/s10346-025-02543-6
- A Method for Automatic Assessment of Rockfall Susceptibility Based on High-Resolution Point Clouds J. Chen et al. 10.1007/s00603-023-03651-2
- A method to assess the probability of thickness and volume estimates of small and shallow initial landslide ruptures based on surface area C. Meier et al. 10.1007/s10346-020-01347-0
- A block theory-based method for identifying the boundaries and movement modes of potential unstable bodies in rock slopes Q. Hou et al. 10.1007/s00603-025-04722-2
- A Framework of Linear Sensor Networks with Unmanned Aerial Vehicle for Rainfall-Induced Landslides Detection B. Yang et al. 10.1142/S0219455420420171
- Assessing the rock failure return period on an unstable Alpine rock wall based on volume-frequency relationships: The Brenva Spur (3916 m a.s.l., Aosta Valley, Italy) L. Fei et al. 10.1016/j.enggeo.2023.107239
- Analysis of the Influence of Structural Geology on the Massive Seismic Slope Failure Potential Supported by Numerical Modelling E. Lemaire et al. 10.3390/geosciences10080323
- Dynamic Numerical Modelling of Co-Seismic Landslides Using the 3D Distinct Element Method: Insights from the Balta Rockslide (Romania) A. Mreyen et al. 10.2139/ssrn.4001116
- A review of methods used to estimate initial landslide failure surface depths and volumes M. Jaboyedoff et al. 10.1016/j.enggeo.2020.105478
- Stability evaluation of shallow blocks in high and steep slope combining TLS and UAV photogrammetry J. Chen et al. 10.1080/19475705.2025.2464052
- Landslide Scarp Assessments by Means of an Ellipse-Referenced Idealized Curved Surface C. Ko et al. 10.3389/feart.2021.733413
- A Bayesian approach to develop simple run-out distance models: loess landslides in Heifangtai Terrace, Gansu Province, China X. Sun et al. 10.1007/s10346-022-01965-w
- Assessing the landslide failure surface depth and volume: A new spline interpolation method J. Singh & S. Sepúlveda 10.1016/j.enggeo.2025.108319
- Multiple geophysical investigations to characterize massive slope failure deposits: application to the Balta rockslide, Carpathians A. Mreyen et al. 10.1093/gji/ggab028
- Pre-landslide topographic reconstruction in Baetis Chaos, mars using a CaSSIS Digital Elevation Model A. Guimpier et al. 10.1016/j.pss.2022.105505
- An Approach for Preliminary Landslide Scarp Assessment with Genetic Algorithm (GA) C. Wang et al. 10.3390/w14152400
- An Integrated Approach for Emergency Response and Long-Term Prevention for Rainfall-Induced Landslide Clusters W. Zhao et al. 10.3390/rs17142406
Latest update: 15 Sep 2025
Short summary
High-resolution digital elevation models (DEMs) can now be acquired using airborne laser scanners. This allows for a detailed analysis of the geometry of landslides. Several large landslides were triggered by Typhoon Talas in Japan in 2011. The comparison of pre- and post-DEMs allowed us to test a method of defining landslide failure surfaces before catastrophic movements. It provides new results about the curvature of the failure surface and the volume expansion of the deposit.
High-resolution digital elevation models (DEMs) can now be acquired using airborne laser...
