Articles | Volume 18, issue 1
https://doi.org/10.5194/nhess-18-65-2018
https://doi.org/10.5194/nhess-18-65-2018
Research article
 | 
04 Jan 2018
Research article |  | 04 Jan 2018

Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan

Luis Moya, Fumio Yamazaki, Wen Liu, and Masumi Yamada

Related authors

Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru
Luis Moya, Fernando Garcia, Carlos Gonzales, Miguel Diaz, Carlos Zavala, Miguel Estrada, Fumio Yamazaki, Shunichi Koshimura, Erick Mas, and Bruno Adriano
Nat. Hazards Earth Syst. Sci., 22, 65–70, https://doi.org/10.5194/nhess-22-65-2022,https://doi.org/10.5194/nhess-22-65-2022, 2022
Short summary
Review article: Detection of inundation areas due to the 2015 Kanto and Tohoku torrential rain in Japan based on multi-temporal ALOS-2 imagery
Wen Liu and Fumio Yamazaki
Nat. Hazards Earth Syst. Sci., 18, 1905–1918, https://doi.org/10.5194/nhess-18-1905-2018,https://doi.org/10.5194/nhess-18-1905-2018, 2018
Short summary
Calculation of coseismic displacement from lidar data in the 2016 Kumamoto, Japan, earthquake
Luis Moya, Fumio Yamazaki, Wen Liu, and Tatsuro Chiba
Nat. Hazards Earth Syst. Sci., 17, 143–156, https://doi.org/10.5194/nhess-17-143-2017,https://doi.org/10.5194/nhess-17-143-2017, 2017
Short summary
EXTRACTION OF FLOODED AREAS DUE THE 2015 KANTO-TOHOKU HEAVY RAINFALL IN JAPAN USING PALSAR-2 IMAGES
F. Yamazaki and W. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 179–183, https://doi.org/10.5194/isprs-archives-XLI-B8-179-2016,https://doi.org/10.5194/isprs-archives-XLI-B8-179-2016, 2016
Estimation of three-dimensional crustal movements in the 2011 Tohoku-Oki, Japan, earthquake from TerraSAR-X intensity images
W. Liu, F. Yamazaki, M. Matsuoka, T. Nonaka, and T. Sasagawa
Nat. Hazards Earth Syst. Sci., 15, 637–645, https://doi.org/10.5194/nhess-15-637-2015,https://doi.org/10.5194/nhess-15-637-2015, 2015
Short summary

Related subject area

Earthquake Hazards
Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile
Hugo Rosero-Velásquez, Mauricio Monsalve, Juan Camilo Gómez Zapata, Elisa Ferrario, Alan Poulos, Juan Carlos de la Llera, and Daniel Straub
Nat. Hazards Earth Syst. Sci., 24, 2667–2687, https://doi.org/10.5194/nhess-24-2667-2024,https://doi.org/10.5194/nhess-24-2667-2024, 2024
Short summary
Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 24, 2597–2613, https://doi.org/10.5194/nhess-24-2597-2024,https://doi.org/10.5194/nhess-24-2597-2024, 2024
Short summary
Comparing components for seismic risk modelling using data from the 2019 Le Teil (France) earthquake
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 24, 2383–2401, https://doi.org/10.5194/nhess-24-2383-2024,https://doi.org/10.5194/nhess-24-2383-2024, 2024
Short summary
Modelling seismic ground motion and its uncertainty in different tectonic contexts: challenges and application to the 2020 European Seismic Hazard Model (ESHM20)
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024,https://doi.org/10.5194/nhess-24-1795-2024, 2024
Short summary
Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data
Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024,https://doi.org/10.5194/nhess-24-1401-2024, 2024
Short summary

Cited articles

Aixia, D., Zongjin, M., Shusong, H., and Xiaoqing, W.: Building damage extraction from post-earthquake airborne LiDAR data, Acta Geol. Sin.-Engl., 90, 1481–1489. 2016.
Asia Air Survey Co., Ltd.: The 2016 Kumamoto earthquake, available at: http://www.ajiko.co.jp/article/detail/ID5725UVGCD/, last access: 1 April 2017.
Building Research Institute: Final report of damage survey of the 1995 Hyogoken-Nanbu earthquake, available at: http://www.kenken.go.jp/japanese/research/iisee/list/topics/hyogo/pdf/h7-hyougo-jp-all.pdf (last access: 1 September 2017), 1996 (in Japanese).
Building Research Institute: Wallstat version 3.1, collapsing simulation program for timber structures, available at: http://www.nilim.go.jp/lab/idg/nakagawa/wallstat.html (last access: 1 September 2017), 10 September 2015.
Cabinet Office of Japan: Summary of damage situation in the Kumamoto earthquake sequence, available at: http://www.bousai.go.jp/updates/h280414jishin/index.html, last access: 1 September 2017 (in Japanese).
Download
Short summary
On 14 April 2016, an Mw 6.5 earthquake occurred in Kumamoto prefecture, Japan (foreshock). About 28 h later, another earthquake of Mw 7.0 occurred (mainshock). The earthquake produced extensive losses to the infrastructure. This paper shows the extraction of collapsed buildings from a pair of airborne lidar data recorded before and after the mainshock. A number of methods were applied and their performances were evaluated by comparison with actual data obtained from a field survey.
Altmetrics
Final-revised paper
Preprint