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Assessment of the 2006 to 2015 Corvara landslide evolution using a UAV-derived DSM and orthophoto

机译:使用无人机衍生的DSM和正射影像评估2006年至2015年Corvara滑坡演化

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We present a UAV-based photogrammetry study on Corvara landslide, a large and active earthflow in the Italian Dolomites. During a one-day field survey, an area of approximately 13 ha was covered and a very high resolution orthophoto and a point cloud consisting of more than 200 million points were created. From this data, a Digital Surface Model (DSM) with a pixel size of 1.5 cm was prepared. The comparison to the existing 2006 LiDAR DSM highlights landslide enlargements, displacement rates and material depletion and accumulation exceeding 11 m. Although some uncertainties regarding the exact magnitude of topographical changes remain, the methodology has been evaluated as a useful addition to the ongoing monitoring activities on the Corvara landslide by GPS and DInSAR due to the unprecedented level of detail.
机译:我们目前对科瓦拉滑坡(基于意大利白云岩的大量活跃土流)进行基于无人机的摄影测量研究。在为期一天的实地调查中,覆盖了大约13公顷的区域,并创建了非常高分辨率的正射影像和由2亿多个点组成的点云。根据该数据,准备了像素尺寸为1.5 cm的数字表面模型(DSM)。与现有的2006年LiDAR DSM的对比突出显示了滑坡扩大,位移率以及材料消耗和堆积超过11 m。尽管仍存在有关地形变化确切幅度的一些不确定性,但由于前所未有的详细程度,该方法已被评估为GPS和DInSAR对Corvara滑坡正在进行的监测活动的有益补充。

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