使用UAV-LiDAR集成系统在森林环境中获取高分辨率的地形信息:系统开发和现场演示
Shin-Kyu Choi1, Ryan Angeles Ramirez2, Tae-Hyuk Kwon3
1Structural and Construction Technology Group, Korea Electric Power Research Institute (KEPRI), Daejeon, 34056, South Korea.
Heliyon
|October 9, 2023
概括
本研究介绍了一种先进的无人机光检测和测距 (LiDAR) 系统,用于详细的山体滑坡预测和监测. 该系统有效地捕获植被地区的高分辨率地形数据,这对于危险评估至关重要.
科学领域:
- 地质科学 地质科学
- 遥感 遥感 遥感 遥感
- 地质形态学 地质形态学
背景情况:
- 准确的地形数据对于山体滑坡预测,描述和危险减轻至关重要.
- 像空中摄影仪和陆地LiDAR等传统方法在植被环境中存在局限性.
- 高分辨率的3D绘图对于理解复杂的地形学过程至关重要.
研究的目的:
- 介绍一个先进的地形测量系统,集成无人机 (UAV) 和光检测和测距 (LiDAR).
- 为了证明该系统在获取森林环境中树冠以下的高分辨率3D LiDAR点云方面的能力.
- 评估系统在山体滑坡分析和碎片流障碍维护中的应用.
主要方法:
- 多旋翼无人机与LiDAR传感器集成用于空中测量.
- 开发一种算法,从3D LiDAR点云中划出地形信息.
- 现场演示用于系统验证,包括山体滑坡法医分析和沉积物沉积监测.
主要成果:
- 无人机LiDAR系统成功获得了植被覆盖下的高分辨率3D点云.
- 该系统在森林地区表现出有效性,克服了其他遥感平台的局限性.
- 现场应用显示,成功地对滑坡事件进行了法医分析,并监测了碎片流障碍条件.
结论:
- 开发的UAV-LiDAR系统为在具有挑战性的植被和森林环境中进行高分辨率的地形测量提供了强大的工具.
- 这项技术增强了山体滑坡预测,监测和危险减轻工作.
- 该系统对于难以进入的地点特别有价值,提高了地形学研究的安全性和效率.
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