Unmanned Aerial Vehicles (UAVs) in Landslide Investigation and Monitoring: A Review
Беспилотные летательные аппараты (БПЛА) в исследовании и мониторинге оползней: обзор
2024-01-22
SCID: 54.1/qb79vbwg
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3D reconstructionLiDARUAV-based landslide monitoringlandslide mappingmachine learning
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Abstract (AI)
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.
Key Findings
1
Different UAV platforms and sensors—including RGB, multispectral, thermal infrared, SAR, and LiDAR—provide complementary capabilities for landslide analysis, each with specific limitations.
2
Key challenges include regulatory constraints, limited hover time, 3D reconstruction accuracy, and the need for further technological development, including potential UAV-swarm integration.
3
UAV-based monitoring enables analysis of landslide temporal and spatial evolution, improving understanding of dynamic landslide processes.
4
UAVs have become essential tools for on-site landslide investigation, supporting geological surveys, mapping, modeling, and characterization.
5
UAVs support post-event emergency response through rapid data acquisition and automated landslide detection using machine-learning algorithms.
Research Object
Landslides investigated and monitored using unmanned aerial vehicles (UAVs)
Research Subject
UAV-based mapping, modeling, characterization, spatiotemporal change monitoring, and post-event response to landslides
Publication Details
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2024-01-22
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