Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review

被引:9
|
作者
Sun, Jianwei [1 ]
Yuan, Guoqin [1 ]
Song, Laiyun [1 ]
Zhang, Hongwen [1 ]
机构
[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Key Lab Airborne Opt Imaging & Measurement, Changchun 130033, Peoples R China
基金
中国国家自然科学基金;
关键词
UAVs; landslide; remote sensing; photogrammetry; STRUCTURE-FROM-MOTION; WATER-LEVEL FLUCTUATIONS; PHOTOGRAMMETRY; CHINA; IMAGE; SUSCEPTIBILITY; DISPLACEMENTS; TOPOGRAPHY; PREDICTION; EVOLUTION;
D O I
10.3390/drones8010030
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Over the past decade, Unmanned Aerial Vehicles (UAVs) have emerged as essential tools for landslide studies, particularly in on-site investigations. This paper reviews UAV applications in landslide studies, with a focus on static geological characteristics, monitoring temporal and spatial dynamics, and responses post-events. We discuss the functions and limitations of various types of UAVs and sensors (RGB cameras, multi-spectral cameras, thermal IR cameras, SAR, LiDAR), outlining their roles and data processing methods in landslide applications. This review focuses on the UAVs' roles in landslide geology surveys, emphasizing landslide mapping, modeling and characterization. For change monitoring, it provides an overview of the temporal and spatial evolution through UAV-based monitoring, shedding light on dynamic landslide processes. Moreover, this paper underscores UAVs' crucial role in emergent response scenarios, detailing strategies and automated detection using machine learning algorithms. The discussion on challenges and opportunities highlights the need for ongoing UAV technology advancements, addressing regulatory hurdles, hover time limitations, 3D reconstruction accuracy and potential integration with technologies like UAV swarms.
引用
收藏
页数:27
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