Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-143-2017
https://doi.org/10.5194/nhess-17-143-2017
Research article
 | 
01 Feb 2017
Research article |  | 01 Feb 2017

Calculation of coseismic displacement from lidar data in the 2016 Kumamoto, Japan, earthquake

Luis Moya, Fumio Yamazaki, Wen Liu, and Tatsuro Chiba

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Cited articles

Asia Air Survey Co., Ltd.: The 2016 Kumamoto Earthquake, available at: http://www.ajiko.co.jp/article/detail/ID5725UVGCD/, last access: August 2016.
Aoi, S., Kunugi, T., and Fujiwara, H.: Strong-motion seismograph network operated by NIED: K-NET and KiK-net, J. Japan Assoc. Earthq. Eng., 4, 65–74, 2004.
Bevis, M., Hudnut, k., Sanchez, R., Toth, C., Grejner-Brzezinska, D., Kendrick, E., Caccamise, D., Raleigh, D., Zhou, H., Shan, S., Shindle, W., Yong, A., Harvey, J., Borsa, A., Ayoub, F., Shrestha, R., Carter, B., Sartori, M., Phillips, D., and Coloma, F.: The B4 Project: Scanning the an Andreas and San Jacinto fault zones, in: American Geophysical Union, Fall meeting, San Francisco, CA, USA, 5–9 December 2005, abstract #H34B-01, 2005.
Borsa, A. and Minster, J.: Rapid determination of near-fault earthquake deformation using differential lidar, B. Seismol. Soc. Am., 102, 1335–1347, 2012.
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 2016.
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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.
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