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
Viewed
Total article views: 4,130 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,293 | 1,612 | 225 | 4,130 | 166 | 208 |
- HTML: 2,293
- PDF: 1,612
- XML: 225
- Total: 4,130
- BibTeX: 166
- EndNote: 208
Total article views: 3,456 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,012 | 1,222 | 222 | 3,456 | 163 | 204 |
- HTML: 2,012
- PDF: 1,222
- XML: 222
- Total: 3,456
- BibTeX: 163
- EndNote: 204
Total article views: 674 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 30 Sep 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 281 | 390 | 3 | 674 | 3 | 4 |
- HTML: 281
- PDF: 390
- XML: 3
- Total: 674
- BibTeX: 3
- EndNote: 4
Viewed (geographical distribution)
Total article views: 4,130 (including HTML, PDF, and XML)
Thereof 3,939 with geography defined
and 191 with unknown origin.
Total article views: 3,456 (including HTML, PDF, and XML)
Thereof 3,274 with geography defined
and 182 with unknown origin.
Total article views: 674 (including HTML, PDF, and XML)
Thereof 665 with geography defined
and 9 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
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.
- Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data F. Foroughnia et al.
- 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.
- BUILDING DAMAGE DETECTION OF THE KUMAMOTO EARTHQUAKE UTILIZING IMAGE ANALYZING METHODS WITH AERIAL PHOTOGRAPHS S. NAITO et al.
- Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan L. Moya et al.
- 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.
- 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.
- 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.
- 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.
- 3D Surface Displacement and Surface Ruptures Associated with the 2014 Mw 6.2 Nagano Earthquake Using Differential Lidar D. Ishimura et al.
- Reconstructing Aircraft Trajectories from Multi-Return Airborne Laser-Scanning Data D. Gatziolis & R. McGaughey
- Feasibility of ALOS2 PALSAR2 Offset-Based Phase Unwrapping of SAR Interferogram in Large and Complex Surface Deformations W. Baek et al.
- Spatial patterns of seismogenic faulting in northeastern Asia W. Chen
- Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data W. Liu et al.
- Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan L. Moya et al.
- Applications of Remote Sensing Technologies to Assess Ground Displacements and Seismic Hazards: Precision, Scale, and Insight A. Ali et al.
- 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.
- Paleoseismic trenching on slip-partitioned surface ruptures associated with the 2016 Kumamoto earthquake D. Ishimura et al.
- 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.
- Correlation Between Seismic Damages of Tawarayama Tunnel and Ground Deformation Under the 2016 Kumamoto Earthquake X. Zhang et al.
- Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake C. Xu et al.
- 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.
- 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.
- Nonlinear Response of Tunnels under Coseismic Displacement Induced by Strike-Slip Fault J. Huang et al.
- 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.
- Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake P. He et al.
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.
- Quantitative assessment of earthquake-induced building damage at regional scale using LiDAR data F. Foroughnia et al.
- 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.
- BUILDING DAMAGE DETECTION OF THE KUMAMOTO EARTHQUAKE UTILIZING IMAGE ANALYZING METHODS WITH AERIAL PHOTOGRAPHS S. NAITO et al.
- Statistical analysis of earthquake debris extent from wood‐frame buildings and its use in road networks in Japan L. Moya et al.
- 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.
- 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.
- 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.
- 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.
- 3D Surface Displacement and Surface Ruptures Associated with the 2014 Mw 6.2 Nagano Earthquake Using Differential Lidar D. Ishimura et al.
- Reconstructing Aircraft Trajectories from Multi-Return Airborne Laser-Scanning Data D. Gatziolis & R. McGaughey
- Feasibility of ALOS2 PALSAR2 Offset-Based Phase Unwrapping of SAR Interferogram in Large and Complex Surface Deformations W. Baek et al.
- Spatial patterns of seismogenic faulting in northeastern Asia W. Chen
- Detection of Earthquake-Induced Landslides during the 2018 Kumamoto Earthquake Using Multitemporal Airborne Lidar Data W. Liu et al.
- Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan L. Moya et al.
- Applications of Remote Sensing Technologies to Assess Ground Displacements and Seismic Hazards: Precision, Scale, and Insight A. Ali et al.
- 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.
- Paleoseismic trenching on slip-partitioned surface ruptures associated with the 2016 Kumamoto earthquake D. Ishimura et al.
- 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.
- Correlation Between Seismic Damages of Tawarayama Tunnel and Ground Deformation Under the 2016 Kumamoto Earthquake X. Zhang et al.
- Landslides triggered by the 2016 Mj 7.3 Kumamoto, Japan, earthquake C. Xu et al.
- 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.
- 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.
- Nonlinear Response of Tunnels under Coseismic Displacement Induced by Strike-Slip Fault J. Huang et al.
- 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.
- Complete three-dimensional near-field surface displacements from imaging geodesy techniques applied to the 2016 Kumamoto earthquake P. He et al.
Saved (final revised paper)
Latest update: 09 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...
Altmetrics
Final-revised paper
Preprint