Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan
Detection of collapsed buildings from lidar data due to the 2016 Kumamoto earthquake in Japan
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DOI：
10.5194/nhess-18-65-2018
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发表时间：
2018-01
影响因子：
4.6
通讯作者：
L. Moya;F. Yamazaki;Wen Liu;M. Yamada
中科院分区：
文献类型：
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作者：
L. Moya;F. Yamazaki;Wen Liu;M. Yamada
摘要。2016年熊本地震序列是由4月14日21点26分发生的6.2级地震引发的。大约28小时后，4月16日1时25分，又发生了7.0级地震（主震）。这两次地震的震中都位于益城居民区附近，并影响到附近地区。由于强烈的地震地面运动，地震对建筑物和基础设施造成了广泛的破坏。在本文中，利用机载光探测和测距（激光雷达）飞行在4月16日主震前后拍摄的一对数字地面模型（DSMs）来检测倒塌的建筑物。评估了从dsm中识别倒塌建筑物的不同方法。研究发现，建筑足迹内平均海拔的变化是最重要的因素。最后给出了研究区内建筑物倒塌的分布情况，结果与地震后进行的建筑物损坏调查结果一致。
Abstract. 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.