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首页> 外文会议>Remote sensing technologies and applications in urban environments II >Use of multi-temporal Lidar data to extract changes due to the 2016 Kumamoto earthquake
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Use of multi-temporal Lidar data to extract changes due to the 2016 Kumamoto earthquake

机译：使用多时相激光雷达数据提取2016年熊本地震造成的变化

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Extraction of collapsed buildings from a pair of Lidar data taken before and after the 2016 Kumamoto, Japan, earthquake was conducted. Lidar surveys were carried out for the affected areas along the causative faults by Asia Air Survey Co., Ltd. The density of the collected Lidar data was 1.5-2 points/m~2 for the first flight on April 15, 2016 and 3-4 points/m~2 for the second flight on April 23, 2016. The spatial correlation coefficient of the two Lidar data was calculated using a 101 × 101 pixels window (50 m × 50 m), and the horizontal shift of the April-23 digital surface model (DSM) with the maximum correlation coefficient was considered as the crustal movement by the April-16 main-shock. The horizontal component of the calculated coseismic displacement was applied to the post-event DSM to cancel it, and then the vertical displacement between the two DSMs was calculated. The both horizontal and vertical coseismic displacements were removed to extract collapsed buildings. Then building-footprints were employed to assess the changes of the DSMs within them. The average of difference between the pre- and post-event DSMs within a building footprint was selected as a parameter to evaluate whether a building is collapsed or not. The extracted height difference was compared with the spatial coherence value calculated from pre- and post-event ALOS-2 PALSAR-2 data and the result of field damage surveys. Based on this comparison, the collapsed buildings could be extracted well by setting a proper threshold value for the average height difference.
机译：从2016年日本熊本地震前后拍摄的一对激光雷达数据中提取倒塌的建筑物。亚洲航空调查有限公司对沿致病性断层的受灾地区进行了激光雷达测量。2016年4月15日首次飞行的激光雷达数据密度为1.5-2点/ m〜2，3日为3- 2016年4月23日第二次飞行4点/ m〜2。两个激光雷达数据的空间相关系数是使用101×101像素的窗口（50 m×50 m）和4月的水平位移计算的。具有最大相关系数的23数字地面模型（DSM）被4月16日的主震视为地壳运动。将计算出的同震位移的水平分量应用于事件后DSM以将其抵消，然后计算两个DSM之间的垂直位移。水平和垂直同震位移都被移除，以提取倒塌的建筑物。然后使用建筑足迹来评估其中DSM的变化。选择建筑物占地面积内事前和事后DSM之间差异的平均值作为评估建筑物是否倒塌的参数。将提取的高度差与根据事前和事后ALOS-2 PALSAR-2数据计算出的空间相干值以及现场破坏调查的结果进行比较。基于此比较，可以通过为平均高度差设置适当的阈值来很好地提取倒塌的建筑物。

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