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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (23 Aug 2017) by Oded Katz
AR by Luis Moya on behalf of the Authors (03 Sep 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (06 Sep 2017) by Oded Katz
RR by Anonymous Referee #1 (11 Sep 2017)
RR by Anonymous Referee #2 (20 Sep 2017)
ED: Publish subject to minor revisions (review by editor) (18 Nov 2017) by Oded Katz
AR by Luis Moya on behalf of the Authors (20 Nov 2017)  Author's response   Manuscript 
ED: Publish as is (20 Nov 2017) by Oded Katz
AR by Luis Moya on behalf of the Authors (21 Nov 2017)
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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.
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