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Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 17, issue 1 | Copyright
Nat. Hazards Earth Syst. Sci., 17, 143-156, 2017
https://doi.org/10.5194/nhess-17-143-2017
© Author(s) 2017. This work is distributed under
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

Luis Moya et al.
Data sets

Strong-motion seismograph networks (K-NET, KiK-net) National Research Institute for Earth Science and Disaster Resilience http://www.kyoshin.bosai.go.jp/

Waveform data obtained by seismometers of local goverments Japan Meteorological Agency http://www.data.jma.go.jp/svd/eqev/data/kyoshin/jishin/1604160125_kumamoto/index2.html

Ground motion records at temporary stations in Mashiki town during the 2016 Kumamoto earthquake Y. Hata, H. Goto, and M. Yoshimi http://wwwcatfish.dpri.kyoto-u.ac.jp/~kumaq

Geospatial data abstraction library GDAL http://www.gdal.org/index.html

Open source computer vision OpenCV http://opencv.org/

Numpy Scipy http://www.numpy.org/#

Publications Copernicus
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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.
This paper calculates the coseismic displacement produced during the 16 April 2016 Mw 7.0...
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