采矿、自然灾害预防和基础设施保护中的永久地面激光雷达监测-机会、风险和挑战:奥地利蒂罗尔岩崩案例研究

D. Schröder, K. Anders, L. Winiwarter, D. Wujanz
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引用次数: 2

摘要

这项工作的目标是发展一项综合监测服务,以查明和评价煤矿开采、预防自然灾害和保护基础设施方面的地表和斜坡运动。从工程大地测量的角度来看,重点是将远程地面激光扫描仪集成到连续监测系统中。在蒂罗尔的瓦尔斯山谷,一台永久安装的激光扫描仪通过门户网站成功运行,用于监测2020年和2021年夏季在高山斜坡上的岩崩碎片区域的表面过程。本文介绍了这种永久性激光扫描装置的实际效益。除了自动数据采集的潜力之外,还提出了利用先进的三维变化检测和卡尔曼滤波,对时空变量变化进行多时间分析的可能性。其中变形分析的检测水平取决于传感器的地理参考质量和测量点云内的噪声。我们根据不同的地理参考方法识别和讨论数据中的时间变量工件。最后,我们将变化检测方法应用于这些多时相数据,以提取有关观测到的地貌过程的具体信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Permanent terrestrial LiDAR monitoring in mining, natural hazard prevention and infrastructure protection – Chances, risks, and challenges: A case study of a rockfall in Tyrol, Austria
The objective of this work is the development of an integrated monitoring service for the identification and evaluation of ground surface and slope movements in the context of coal mining, the prevention of natural hazards and protection of infrastructure. The focus is set on the integration of a long-range terrestrial laser scanner into a continuous monitoring system from an engineering geodetic point of view. In the Vals valley in Tyrol, a permanently installed laser scanner was successfully operated via a web portal to monitor surface processes in the area of rockfall debris on a high-mountain slope in the summers of 2020 and 2021. This paper describes the practical benefits of this permanent laser scanning installation. In addition to the potentials of automatic data acquisition, possibilities for multitemporal analysis with respect to spatio-temporally variable changes are presented, using advanced 3D change detection with Kalman filtering. The level of detection for deformation analyses therein depends on the quality of the georeferencing of the sensor and the noise within the measured point cloud. We identify and discuss temporally variable artifacts within the data based on different methods of georeferencing. Finally, we apply our change detection method on these multitemporal data to extract specific information regarding the observed geomorphologic processes.
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