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Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration

High-resolution topographic information of landslide-prone areas plays an important role in accurate prediction and characterization of potential landslides and mitigation of landslides-associated hazards. This study presents an advanced geomorphological surveying system that integrates the light de...

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Autores principales: Choi, Shin-Kyu, Ramirez, Ryan Angeles, Kwon, Tae-Hyuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559992/
https://www.ncbi.nlm.nih.gov/pubmed/37810106
http://dx.doi.org/10.1016/j.heliyon.2023.e20225
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author Choi, Shin-Kyu
Ramirez, Ryan Angeles
Kwon, Tae-Hyuk
author_facet Choi, Shin-Kyu
Ramirez, Ryan Angeles
Kwon, Tae-Hyuk
author_sort Choi, Shin-Kyu
collection PubMed
description High-resolution topographic information of landslide-prone areas plays an important role in accurate prediction and characterization of potential landslides and mitigation of landslides-associated hazards. This study presents an advanced geomorphological surveying system that integrates the light detection and ranging (LiDAR) with an unmanned aerial vehicle (UAV), a multi-rotor aerial vehicle in specific, for prediction, monitoring and forensic analysis of landslides, and for maintenance of debris-flow barriers. The test-flight over a vegetated area demonstrates that the integrated UAV-LiDAR system can provide high-resolution, three-dimensional (3D) LiDAR point clouds below canopy and vegetation in forest environments, overcoming the limitation of aerial photogrammetry and terrestrial LiDAR platforms. An algorithm is suggested to delineate the topographic information from the acquired 3D LiDAR point clouds, and the accuracy and performance of the developed UAV-LiDAR system are examined through field demonstration. Finally, two field demonstrations are presented: the forensic analysis of the recent Gokseong landslide event, and the sediment deposition monitoring for debris-flow barrier maintenance in South Korea. The developed surveying system is expected to contribute to geomorphological field surveys in vegetated, forest environments, particularly in a site that is not easily accessible.
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spelling pubmed-105599922023-10-08 Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration Choi, Shin-Kyu Ramirez, Ryan Angeles Kwon, Tae-Hyuk Heliyon Research Article High-resolution topographic information of landslide-prone areas plays an important role in accurate prediction and characterization of potential landslides and mitigation of landslides-associated hazards. This study presents an advanced geomorphological surveying system that integrates the light detection and ranging (LiDAR) with an unmanned aerial vehicle (UAV), a multi-rotor aerial vehicle in specific, for prediction, monitoring and forensic analysis of landslides, and for maintenance of debris-flow barriers. The test-flight over a vegetated area demonstrates that the integrated UAV-LiDAR system can provide high-resolution, three-dimensional (3D) LiDAR point clouds below canopy and vegetation in forest environments, overcoming the limitation of aerial photogrammetry and terrestrial LiDAR platforms. An algorithm is suggested to delineate the topographic information from the acquired 3D LiDAR point clouds, and the accuracy and performance of the developed UAV-LiDAR system are examined through field demonstration. Finally, two field demonstrations are presented: the forensic analysis of the recent Gokseong landslide event, and the sediment deposition monitoring for debris-flow barrier maintenance in South Korea. The developed surveying system is expected to contribute to geomorphological field surveys in vegetated, forest environments, particularly in a site that is not easily accessible. Elsevier 2023-09-17 /pmc/articles/PMC10559992/ /pubmed/37810106 http://dx.doi.org/10.1016/j.heliyon.2023.e20225 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Choi, Shin-Kyu
Ramirez, Ryan Angeles
Kwon, Tae-Hyuk
Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title_full Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title_fullStr Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title_full_unstemmed Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title_short Acquisition of high-resolution topographic information in forest environments using integrated UAV-LiDAR system: System development and field demonstration
title_sort acquisition of high-resolution topographic information in forest environments using integrated uav-lidar system: system development and field demonstration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10559992/
https://www.ncbi.nlm.nih.gov/pubmed/37810106
http://dx.doi.org/10.1016/j.heliyon.2023.e20225
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