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  1. 防災科研関係論文

Extraction of collapsed buildings due to the 2016 Kumamoto, Japan, earthquake using two-temporal Lidar data

https://nied-repo.bosai.go.jp/records/2974
https://nied-repo.bosai.go.jp/records/2974
782ad568-1dcd-4088-a39a-bd1a46f2e644
Item type researchmap(1)
公開日 2023-03-30
タイトル
言語 en
タイトル Extraction of collapsed buildings due to the 2016 Kumamoto, Japan, earthquake using two-temporal Lidar data
著者 W. Liu

× W. Liu

en W. Liu

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F. Yamazaki

× F. Yamazaki

en F. Yamazaki

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抄録
内容記述タイプ Other
内容記述 c 2018 SPIE. The 2016 Kumamoto earthquake was a series of earthquake events, including the moment-magnitude (Mw) 7.0 mainshock on April 16, 2016 and the Mw 6.2 foreshock on April 14. Due to the strong shaking, more than 8,000 buildings were collapsed and about 30,000 buildings were severely damaged. Geospatial Information Authority of Japan (GSI) acquired high density (5.93 point/m 2 ) Lidar data on May 8, 2016, three weeks after the earthquakes. In this study, the pre- and postevent Lidar data were used to detect the collapsed buildings in Mashiki town, Kumamoto Prefecture, Japan, which was one of the most severely affected regions. The pre-event Lidar data were taken on May 15, 2006 with the 0.72 point/m 2 density. A report of building damage grades obtained by the field surveys of the Architectural Institute of Japan (AIJ) was introduced as the reference. First, the statistics of height differences within each building outline were calculated. Then the characteristics of the different damage grades were investigated. As a result, the average values of the height differences were adopted to extract collapsed buildings. 618 buildings were extracted as collapsed from 3,408 buildings existed in 2006. Comparing with the reference, 91% collapsed buildings were detected successfully, and the F-score was 0.88.
言語 en
書誌情報 en : Proceedings of SPIE - The International Society for Optical Engineering

巻 10779, 発行日 2018
ISSN
収録物識別子タイプ EISSN
収録物識別子 1996-756X
DOI
関連識別子 10.1117/12.2324385
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