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

被引:18
|
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
相关论文
共 50 条
  • [21] A comprehensive review of the functionality and applications of unmanned aerial vehicles (UAVs) in the realm of agriculture
    Bharath Kumar Komatineni
    Swetha Makam
    Sanwal Singh Meena
    Journal of Electrical Systems and Information Technology, 11 (1)
  • [22] The Usability of Unmanned Aerial Vehicles (UAVs) for Pedestrian Observation
    Park, Keunhyun
    Ewing, Reid
    JOURNAL OF PLANNING EDUCATION AND RESEARCH, 2022, 42 (02) : 206 - 217
  • [23] An approach to enhance the security of unmanned aerial vehicles (UAVs)
    Sabuwala, Noshin A.
    Daruwala, Rohin D.
    JOURNAL OF SUPERCOMPUTING, 2024, 80 (07): : 9609 - 9639
  • [24] An approach to enhance the security of unmanned aerial vehicles (UAVs)
    Noshin A. Sabuwala
    Rohin D. Daruwala
    The Journal of Supercomputing, 2024, 80 : 9609 - 9639
  • [25] THE FUTURE OF UNMANNED AERIAL VEHICLES (UAVS) HAS NO BATTERIES
    Liller, Jackson
    Nguyen, Phuc
    GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW, 2024, 28 (02) : 12 - 16
  • [26] The global diffusion of unmanned aerial vehicles (UAVs), or 'drones'
    Franke, Ulrike Esther
    Precision Strike Warfare and International Intervention-Strategic, Ethico-legal, and Decisional Implications, 2015, : 52 - 72
  • [27] Future Commercial Prospects of Unmanned Aerial Vehicles (UAVs)
    Kapoor, Divneet Singh
    Singh, Kiran Jot
    Bansal, Richa
    Thakur, Khushal
    Sharma, Anshul
    THIRD CONGRESS ON INTELLIGENT SYSTEMS, CIS 2022, VOL 1, 2023, 608 : 79 - 89
  • [28] A Survey on Spectrum Management for Unmanned Aerial Vehicles (UAVs)
    Jasim, Mohammed A.
    Shakhatreh, Hazim
    Siasi, Nazli
    Sawalmeh, Ahmad H.
    Aldalbahi, Adel
    Al-Fuqaha, Ala
    IEEE ACCESS, 2022, 10 : 11443 - 11499
  • [29] Monitoring olive tree water status by unmanned aerial vehicles (UAVs) and trunk dendrometers
    Caruso, Giovanni
    Palai, Giacomo
    Gucci, Riccardo
    PROCEEDINGS OF 2023 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AGRICULTURE AND FORESTRY, METROAGRIFOR, 2023, : 832 - 836
  • [30] Technical Note: Advances in flash flood monitoring using unmanned aerial vehicles (UAVs)
    Perks, Matthew T.
    Russell, Andrew J.
    Large, Andrew R. G.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (10) : 4005 - 4015