利用无人机测绘和地面激光雷达对韩国陡坡进行风险评估

S. Kim, D. Kim, H. Nho
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引用次数: 0

摘要

摘要近年来,由于气候变化导致的天气异常,世界范围内局地暴雨造成的自然灾害损失有所增加。特别是,韩国国土面积超过63%是山区,而且每年季风季节都会出现难以预测的局部暴雨,因此极易发生山体滑坡灾害。本文介绍了利用无人机测绘和地面激光雷达测量技术进行陡坡风险评估的实验结果。首先,我们利用小型无人机获取陡坡场地的航拍图像,并利用Pix4D软件进行无人机制图过程。为了收集更详细的地质数据,定量分析陡坡的损伤(裂缝长度、基岩风化面积等),我们使用陆基激光雷达系统对陡坡区域进行扫描。最后,我们评估了无人机摄影测量输出和来自地面激光雷达数据的3D点云在分析和评估陡坡风险方面的公共安全适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RISK ASSESSMENT OF STEEP SLOPE USING DRONE MAPPING AND TERRESTRIAL LIDAR IN KOREA
Abstract. Due to abnormal weather caused by climate change in recently years, natural disaster damages caused by local torrential rains have been increased over the world. Particularly, Korea is very vulnerable to landslide disasters because more than 63% of the country is mountainous and it suffers from unpredictable localized heavy rainfall during monsoon season every year. This paper presents experimental results for risk assessment of steep slope using drone mapping and terrestrial LiDAR survey. First, we acquired the aerial imagery of steep slope site by small UAV and conducted a drone mapping process with the Pix4D software. For collecting the more detailed geological data and analysing quantitatively damage of steep slopes (crack length, bedrock weathering area, etc.), we scanned steep slope area using terrestrial LiDAR system. Finally, we evaluated the applicability of public safety for outputs of UAV photogrammetry and 3D point clouds derived from terrestrial LiDAR data to analyse and assess the risk of steep slope.
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