Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-17-143-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Feb 2017
Research article |
| 01 Feb 2017
Calculation of coseismic displacement from lidar data in the 2016 Kumamoto, Japan, earthquake
Department of Urban Environment Systems, Chiba University, Chiba
263-8522, Japan
Fumio Yamazaki
Department of Urban Environment Systems, Chiba University, Chiba
263-8522, Japan
Wen Liu
Department of Urban Environment Systems, Chiba University, Chiba
263-8522, Japan
Tatsuro Chiba
Research and Development Institute, Asian Air Survey Co., Ltd.,
Kawasaki 215-0044, Japan
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Cited
26 citations as recorded by crossref.
- Repeated triggered ruptures on a distributed secondary fault system: an example from the 2016 Kumamoto earthquake, southwest Japan D. Ishimura et al. https://doi.org/10.1186/s40623-021-01371-x
- Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data F. Foroughnia et al. https://doi.org/10.1016/j.ijdrr.2024.104403
- Calculation of 3D displacement and time to failure of an earth dam using DIC analysis of hillshade images derived from high temporal resolution point cloud data N. Berg et al. https://doi.org/10.1007/s10346-019-01284-7
- BUILDING DAMAGE DETECTION OF THE KUMAMOTO EARTHQUAKE UTILIZING IMAGE ANALYZING METHODS WITH AERIAL PHOTOGRAPHS S. NAITO et al. https://doi.org/10.2208/jscejseee.75.I_218
- Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan L. Moya et al. https://doi.org/10.1177/8755293019892423
- Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016 L. Saganeiti et al. https://doi.org/10.1016/j.ijdrr.2020.101924
- The 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements C. Scott et al. https://doi.org/10.1029/2019GL082202
- Paleoseismic events and shallow subsurface structure of the central part of the Futagawa fault, which generated the 2016 Mw 7.0 Kumamoto earthquake D. Ishimura et al. https://doi.org/10.1016/j.geomorph.2022.108387
- Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami L. Moya et al. https://doi.org/10.1016/j.rse.2020.111743
- 3D Surface Displacement and Surface Ruptures Associated with the 2014 Mw 6.2 Nagano Earthquake Using Differential Lidar D. Ishimura et al. https://doi.org/10.1785/0120180020
- Reconstructing Aircraft Trajectories from Multi-Return Airborne Laser-Scanning Data D. Gatziolis & R. McGaughey https://doi.org/10.3390/rs11192258
- Feasibility of ALOS2 PALSAR2 Offset-Based Phase Unwrapping of SAR Interferogram in Large and Complex Surface Deformations W. Baek et al. https://doi.org/10.1109/ACCESS.2018.2865799
- Spatial patterns of seismogenic faulting in northeastern Asia W. Chen https://doi.org/10.1016/j.earscirev.2021.103704
- Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data W. Liu et al. https://doi.org/10.3390/rs11192292
- Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan L. Moya et al. https://doi.org/10.5194/nhess-18-65-2018
- Applications of Remote Sensing Technologies to Assess Ground Displacements and Seismic Hazards: Precision, Scale, and Insight A. Ali et al. https://doi.org/10.1007/s13369-025-10424-2
- Comprehensive LiDAR simulation with efficient physically-based DART-Lux model (II): Validation with GEDI and ICESat-2 measurements at natural and urban landscapes X. Yang et al. https://doi.org/10.1016/j.rse.2024.114519
- Paleoseismic trenching on slip-partitioned surface ruptures associated with the 2016 Kumamoto earthquake D. Ishimura et al. https://doi.org/10.26443/seismica.v5i1.1713
- An Ancient >200 m Cumulative Normal Faulting Displacement Along the Futagawa Fault Dextrally Ruptured During the 2016 Kumamoto, Japan, Earthquake Identified by a Multiborehole Drilling Program S. Shibutani et al. https://doi.org/10.1029/2021GC009966
- Correlation Between Seismic Damages of Tawarayama Tunnel and Ground Deformation Under the 2016 Kumamoto Earthquake X. Zhang et al. https://doi.org/10.1007/s00603-018-1704-x
- Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake C. Xu et al. https://doi.org/10.1007/s10346-017-0929-1
- TheM7 2016 Kumamoto, Japan, Earthquake: 3‐D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography C. Scott et al. https://doi.org/10.1029/2018JB015581
- Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake F. Yamazaki et al. https://doi.org/10.3390/rs14235970
- Nonlinear Response of Tunnels under Coseismic Displacement Induced by Strike-Slip Fault J. Huang et al. https://doi.org/10.1061/(ASCE)GM.1943-5622.0002456
- Accuracy assessment of topographic measurements and monitoring of topographic changes using RTK-UAV in landslide area caused by 2018 Hokkaido Eastern Iburi Earthquake Y. Nakata et al. https://doi.org/10.5738/jale.25.43
- Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake P. He et al. https://doi.org/10.1016/j.rse.2019.111321
26 citations as recorded by crossref.
- Repeated triggered ruptures on a distributed secondary fault system: an example from the 2016 Kumamoto earthquake, southwest Japan D. Ishimura et al. https://doi.org/10.1186/s40623-021-01371-x
- Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data F. Foroughnia et al. https://doi.org/10.1016/j.ijdrr.2024.104403
- Calculation of 3D displacement and time to failure of an earth dam using DIC analysis of hillshade images derived from high temporal resolution point cloud data N. Berg et al. https://doi.org/10.1007/s10346-019-01284-7
- BUILDING DAMAGE DETECTION OF THE KUMAMOTO EARTHQUAKE UTILIZING IMAGE ANALYZING METHODS WITH AERIAL PHOTOGRAPHS S. NAITO et al. https://doi.org/10.2208/jscejseee.75.I_218
- Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan L. Moya et al. https://doi.org/10.1177/8755293019892423
- Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: The case of the Amatrice earthquake in central Italy, on 24th August 2016 L. Saganeiti et al. https://doi.org/10.1016/j.ijdrr.2020.101924
- The 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements C. Scott et al. https://doi.org/10.1029/2019GL082202
- Paleoseismic events and shallow subsurface structure of the central part of the Futagawa fault, which generated the 2016 Mw 7.0 Kumamoto earthquake D. Ishimura et al. https://doi.org/10.1016/j.geomorph.2022.108387
- Detecting urban changes using phase correlation and ℓ1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami L. Moya et al. https://doi.org/10.1016/j.rse.2020.111743
- 3D Surface Displacement and Surface Ruptures Associated with the 2014 Mw 6.2 Nagano Earthquake Using Differential Lidar D. Ishimura et al. https://doi.org/10.1785/0120180020
- Reconstructing Aircraft Trajectories from Multi-Return Airborne Laser-Scanning Data D. Gatziolis & R. McGaughey https://doi.org/10.3390/rs11192258
- Feasibility of ALOS2 PALSAR2 Offset-Based Phase Unwrapping of SAR Interferogram in Large and Complex Surface Deformations W. Baek et al. https://doi.org/10.1109/ACCESS.2018.2865799
- Spatial patterns of seismogenic faulting in northeastern Asia W. Chen https://doi.org/10.1016/j.earscirev.2021.103704
- Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data W. Liu et al. https://doi.org/10.3390/rs11192292
- Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan L. Moya et al. https://doi.org/10.5194/nhess-18-65-2018
- Applications of Remote Sensing Technologies to Assess Ground Displacements and Seismic Hazards: Precision, Scale, and Insight A. Ali et al. https://doi.org/10.1007/s13369-025-10424-2
- Comprehensive LiDAR simulation with efficient physically-based DART-Lux model (II): Validation with GEDI and ICESat-2 measurements at natural and urban landscapes X. Yang et al. https://doi.org/10.1016/j.rse.2024.114519
- Paleoseismic trenching on slip-partitioned surface ruptures associated with the 2016 Kumamoto earthquake D. Ishimura et al. https://doi.org/10.26443/seismica.v5i1.1713
- An Ancient >200 m Cumulative Normal Faulting Displacement Along the Futagawa Fault Dextrally Ruptured During the 2016 Kumamoto, Japan, Earthquake Identified by a Multiborehole Drilling Program S. Shibutani et al. https://doi.org/10.1029/2021GC009966
- Correlation Between Seismic Damages of Tawarayama Tunnel and Ground Deformation Under the 2016 Kumamoto Earthquake X. Zhang et al. https://doi.org/10.1007/s00603-018-1704-x
- Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake C. Xu et al. https://doi.org/10.1007/s10346-017-0929-1
- TheM7 2016 Kumamoto, Japan, Earthquake: 3‐D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography C. Scott et al. https://doi.org/10.1029/2018JB015581
- Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake F. Yamazaki et al. https://doi.org/10.3390/rs14235970
- Nonlinear Response of Tunnels under Coseismic Displacement Induced by Strike-Slip Fault J. Huang et al. https://doi.org/10.1061/(ASCE)GM.1943-5622.0002456
- Accuracy assessment of topographic measurements and monitoring of topographic changes using RTK-UAV in landslide area caused by 2018 Hokkaido Eastern Iburi Earthquake Y. Nakata et al. https://doi.org/10.5738/jale.25.43
- Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake P. He et al. https://doi.org/10.1016/j.rse.2019.111321
Saved (final revised paper)
Latest update: 31 May 2026
Short summary
This paper calculates the coseismic displacement produced during the 16 April 2016 Mw 7.0 Kumamoto earthquake from a pair of digital surface models (DSMs), acquired before and after the earthquake from airborne lidar data. A window matching search approach based on the correlation coefficient was used for this purpose. Results are consistent with the coseismic displacement estimated from strong-motion acceleration records and with the surveyed surface rupture.
This paper calculates the coseismic displacement produced during the 16 April 2016 Mw 7.0...
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