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4 January 2024 Applicability Analysis of Drone LiDAR through Comparison with Manned Airborne LiDAR
Joon-Kyu Park, Joong-Hyeok Heo, Keun-Wang Lee
Author Affiliations +
Abstract

Park, J.-K., Heo, J.-H., and Lee, K.-W., 2023. Applicability analysis of drone LiDAR through comparison with manned airborne LiDAR. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 210-214. Coconut Creek (Florida), ISSN 0749-0208.

The coastline is a very important dataset that represents the boundaries of the land, and the survey has been made since 2001. KHOA (Korea Hydrographic and Oceangraphic Agency) surveys the change in the coastline and sets the coastline of Korea through the coastline survey project. Drone images and water surveying methods have been used for coastline surveys, and manned airborne LiDAR has recently been applied. In this study, the drone LiDAR's coastline surveying application was to be experimented with and presented the possibility of application. Data was built using drone LiDAR for the test bed used in the coastline survey project, and the accuracy was evaluated by comparing with GNSS surveys. In addition, the comparison between manned airborne LiDAR data and drone LiDAR data was performed. According to the study, the accuracy of the drone LiDAR showed a value within 5 cm, and it was possible to use the coastline survey by satisfying the coastline survey work regulations. The comparison of drone LiDAR and Manned Airborne LiDAR data suggested that the density of drone LiDAR is very high. If you use drone LiDAR data, it will be advantageous for coastline surveying and change detection. Drone LiDAR is expected to be applied to coastline surveys.

Joon-Kyu Park, Joong-Hyeok Heo, and Keun-Wang Lee "Applicability Analysis of Drone LiDAR through Comparison with Manned Airborne LiDAR," Journal of Coastal Research 116(sp1), 210-214, (4 January 2024). https://doi.org/10.2112/JCR-SI116-043.1
Received: 6 March 2023; Accepted: 21 April 2023; Published: 4 January 2024
KEYWORDS
Coastline survey
drone
LIDAR
point cloud
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