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UAV monitoring and documentation of a large landslide

机译:无人机监控和记录大型滑坡

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摘要

In June 2013, heavy precipitation triggered a large earthflow of several million cubic meters in a small village in Austria. A bundle of technologies was applied to monitor and document the landslide, such as geophysical methods (geoelectrics, inclinometer, soil moisture, and soil temperature) and Global Navigation Satellite System (GNSS) measurements. Additionally, an Unmanned Aerial Vehicle (UAV) was used for the periodical assessment of the landslide process. In total, nine flights were performed with amulticopter equipped with a digital single-lens reflex camera (DSLR) that delivered several thousands of images. Based on these images and detailed GNSS measurements of the landslide area, orthophotos as well as generated Digital Surface Models (DSMs) with an accuracy of less than ±10 cm resulted. Fissure tracking, flow direction and velocity, and mass balances as well as the construction progress of the protection and mitigation measures were derived from these data sets. The application of the UAV turned out to be a cost- and time-effective tool for landslide-monitoring that provides researchers and engineers with accurate high-resolution geodata.
机译:2013年6月,暴雨在奥地利的一个小村庄引发了数百万立方米的大泥石流。应用了一系列技术来监视和记录滑坡,例如地球物理方法(地球电学,倾角仪,土壤湿度和土壤温度)和全球导航卫星系统(GNSS)测量。另外,无人飞行器(UAV)用于滑坡过程的定期评估。一架配备数字单镜头反光相机(DSLR)的多轴直升机总共进行了9次飞行,可提供数千张图像。根据这些图像和对滑坡区域的详细GNSS测量,得出正射影像以及生成的数字表面模型(DSM),其精确度小于±10 cm。从这些数据集得出裂缝跟踪,流动方向和速度,质量平衡以及防护和缓解措施的建设进度。事实证明,无人机的应用是一种经济高效的滑坡监测工具,可为研究人员和工程师提供准确的高分辨率地理数据。

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