Land Movement Detection from UAV Images for a Sustainable World

P. C. Pesántez-Cabrera
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Abstract

Abstract. In Reina del Cisne (Cuenca-Ecuador), a dynamic sliding process occurred due to a cut made at the beginning of 2018 on the hillside without technical considerations for the construction of an access road to a house in the sector. From January 2019 to June 2019, the period analyzed in this work, the landslide caused complete structural damage to dwellings near the hillside and partial damage to houses farther away. It also led to the total collapse of the path that initiated the landslide. Field visits and comparisons using CloudCompare of point clouds obtained from UAV flights between January 2019 and June 2019 highlighted the high activity of this landslide. The analysis demonstrates the effectiveness of this technique for early detection of landslides, enabling timely warnings for inhabitants to take immediate measures to avoid disasters.
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从无人机图像中探测土地移动,实现可持续发展的世界
摘要在 Reina del Cisne(厄瓜多尔昆卡),由于 2018 年初在山坡上修建一条通往该地区一栋房屋的道路时未考虑技术因素,造成了动态滑动过程。从 2019 年 1 月到 2019 年 6 月,也就是本报告分析的这段时间,山体滑坡导致山坡附近的房屋结构完全损坏,较远的房屋部分损坏。它还导致引发山体滑坡的道路完全坍塌。通过实地考察,并使用 CloudCompare 对 2019 年 1 月至 2019 年 6 月期间无人机飞行获得的点云进行比较,凸显了此次滑坡的高度活动性。分析表明了该技术在早期检测山体滑坡方面的有效性,可及时向居民发出警告,以便立即采取措施避免灾害。
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