无人机、全球导航卫星系统和地理信息系统用于多发山体滑坡的快速评估

K. Nikolakopoulos, A. Kyriou, Ioannis K. Koukouvelas
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引用次数: 0

摘要

持续时间长的强降雨或几小时内的极端降水会同时引发许多浅层滑坡。过去,有人提出了多发区域滑坡(MORLEs)一词来描述这种现象。在当前的研究中,无人驾驶飞行器与全球导航卫星系统传感器和地理信息系统相结合,似乎是快速评估希腊西部艾托罗阿卡纳尼亚省发生的多处滑坡的理想解决方案。在几个工作日内就对 14 处滑坡进行了精确测绘,并制作了精确的正射影像图和报告提交给地方当局。气象数据分析证明,特定地区的降水高度峰值会引发 MORLEs。具体来说,日降水量值被定义为 80 毫米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UAV, GNSS, and GIS for the Rapid Assessment of Multi-Occurrence Landslides
Intense long-duration rainfall or extreme precipitation in a few hours can provoke many simultaneous shallow landslides. In the past, the term multi-occurrence regional landslides (MORLEs) was proposed to describe such phenomena. In the current study, unmanned aerial vehicles in combination with a global navigation satellite system sensor and geographical information systems seem to be the ideal solution for the rapid assessment of many landslides occurring in Aitoloakarnania Prefecture, Western Greece. Fourteen landslides were accurately mapped within a few working days, and precise orthophotos and reports were created and submitted to the local authorities. The analysis of meteorological data proved that there is a peak in precipitation height that triggers the MORLEs in the specific area. Specifically, the value of the daily precipitation was defined at 80 mm.
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