論文

査読有り 本文へのリンクあり
2018年1月4日

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

Natural Hazards and Earth System Sciences
  • Luis Moya
  • ,
  • Fumio Yamazaki
  • ,
  • Wen Liu
  • ,
  • Masumi Yamada

18
1
開始ページ
65
終了ページ
78
記述言語
掲載種別
研究論文(学術雑誌)
DOI
10.5194/nhess-18-65-2018

© Author(s) 2018. The 2016 Kumamoto earthquake sequence was triggered by an Mw 6.2 event at 21:26 on 14 April. Approximately 28 h later, at 01:25 on 16 April, an Mw 7.0 event (the mainshock) followed. The epicenters of both events were located near the residential area of Mashiki and affected the region nearby. Due to very strong seismic ground motion, the earthquake produced extensive damage to buildings and infrastructure. In this paper, collapsed buildings were detected using a pair of digital surface models (DSMs), taken before and after the 16 April mainshock by airborne light detection and ranging (lidar) flights. Different methods were evaluated to identify collapsed buildings from the DSMs. The change in average elevation within a building footprint was found to be the most important factor. Finally, the distribution of collapsed buildings in the study area was presented, and the result was consistent with that of a building damage survey performed after the earthquake.

リンク情報
DOI
https://doi.org/10.5194/nhess-18-65-2018
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85045838144&origin=inward 本文へのリンクあり
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