Application of Micro⁃UAV Remote Sensing in Emergency Mountain Hazards Monitoring of Alpine Valley Region

Penghui ZHAO; Junjie LI; Tangjin YE; Wu BO

doi:10.13409/j.cnki.jdpme.201910037

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Application of Micro⁃UAV Remote Sensing in Emergency Mountain Hazards Monitoring of Alpine Valley Region

更新时间：2025-09-25

- Application of Micro⁃UAV Remote Sensing in Emergency Mountain Hazards Monitoring of Alpine Valley Region
- Journal of Disaster Prevention and Mitigation Engineering Vol. 41, Issue 3, Pages: 448-454(2021)
- 作者机构：
  
  1.大连理工大学建设工程学部水利工程学院，辽宁大连 116024
  2.西藏大学工学院，西藏拉萨 850000
- 作者简介：
- 基金信息：
- DOI：10.13409/j.cnki.jdpme.201910037
  CLC： TU443
- Received：23 October 2019，
  
  Revised：2019-12-10，
  
  Published：16 June 2021
- 稿件说明：
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赵鹏辉,李俊杰,叶唐进等.轻小型无人机遥感在高山峡谷区山地灾害应急监测中的应用[J].防灾减灾工程学报,2021,41(03):448-454.

ZHAO Penghui,LI Junjie,YE Tangjin,et al.Application of Micro⁃UAV Remote Sensing in Emergency Mountain Hazards Monitoring of Alpine Valley Region[J].Journal of Disaster Prevention and Mitigation Engineering,2021,41(03):448-454.
赵鹏辉,李俊杰,叶唐进等.轻小型无人机遥感在高山峡谷区山地灾害应急监测中的应用[J].防灾减灾工程学报,2021,41(03):448-454. DOI： 10.13409/j.cnki.jdpme.201910037.

ZHAO Penghui,LI Junjie,YE Tangjin,et al.Application of Micro⁃UAV Remote Sensing in Emergency Mountain Hazards Monitoring of Alpine Valley Region[J].Journal of Disaster Prevention and Mitigation Engineering,2021,41(03):448-454. DOI： 10.13409/j.cnki.jdpme.201910037.

摘要

高山峡谷区频发的山地灾害易堵塞河道形成堰塞湖，对下游城镇和重要基础设施影响极为严重。复杂的地形地貌环境中无法找到合适起降场地、航线规划不准、操作复杂等因素极大地限制了专业级无人机遥感系统在该区域的应用。针对高山峡谷区山地灾害发生后观测数据获取困难局面，探索将轻小型无人机应用于灾害应急监测。以藏东南深切峡谷地区102滑坡群2

滑坡、古乡沟泥石流为例，介绍了轻小型无人机遥感数据快速采集流程。基于航测影像数据对灾害现场进行三维模型快速重建，并将建模结果与三维激光点云模型对比，验证方法的可行性和准确性。结果表明：应急条件下基于轻小型无人机的山地灾害三维模型精度在分米级，平面方向精度高于高程方向，最大误差率低于9.7%。作为一种数据快速获取方法，可将其应用到山地灾害应急监测领域。

Abstract

Frequent mountainous natural disasters in alpine mountainous and ravine regions can easily block rivers to form dammed lakes. These disasters threaten the safety of downstream towns and infrastructures. The use of the professional unmanned aerial vehicle （UAV） remote-sensing systems is limited in such regions because of a lack of suitable landing sites， inaccuracies in route planning， and the complicated nature of operational processes. To tackle these challenges in obtaining observational data after landslides in alpine areas， a light and small UAV is proposed for disaster monitoring applications. The performance of the micro-UAV was explored in a flight recording data from the No. 2 landslide of the 102 landslide group and debris flow in Guxiang valley in southeast Tibet. The feasibility and accuracy of this method were evaluated by a comparison between the micro-UAV measurments and the modeling results from the three-dimensional laser point cloud. The results show that the three-dimensional model based on the micro-UAV data is accurate to the level of decimeters. The proposed method is more accurate in the plane direction than in elevation， and the maximum measurement error is less than 9.7%. These results show that as a method to quickly obtain data of a disaster， the proposed UAV method can be applied to the field of monitoring alpine emergencies.

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references

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