[S-GD01] Geodetic Advances in Crustal Dynamics and Environmental Change for Taiwan and Neighboring Regions

[SGD01-P07] Multi-Source Point Cloud integration from Unmanned Surface Vehicle (USV) MBES, LiDAR, and Unmanned Aerial Vehicle (UAV) Photogrammetry for High-Resolution 3D Modeling

*Min-Hsuan Kevin Tsai¹, Chung-Yen Kuo¹, Chi-Ming Lee¹, Chia-Kuei Kang², Wen-Hau Lan³ (1.Department of Geomatics, National Cheng Kung University, 2.Department of Land Administration, Ministry of the Interior, 3.Department of Civil Engineering, National Kaohsiung University of Science and Technology)

Keywords:MBES, LiDAR, USV, Photogrammetry, Bathymetry, Point Cloud Integration

Navigation charts and 3D onshore models in ports are essential for navigation safety and coastal management, particularly in nearshore environments. This study integrates high-resolution point clouds from Multibeam Echosounder (MBES), Light Detection and Ranging (LiDAR) mounted on a unmanned Surface Vehicle (USV) and unmanned Aerial Vehicle (UAV) photogrammetry for nearshore applications in Anping Canal and Argo Marina, Tainan. Each point cloud dataset undergoes accuracy assessment, and overlapping areas between different point clouds are also compared. Finally, A significant challenge identified was the data gap near the water surface (±1 meter), caused by sensor coverage limitations. To ensure seamless integration of above-water and underwater point clouds, mathematical interpolation methods are applied to reconstruct the missing data. Preliminary results indicate that the point cloud accuracies from MBES and LiDAR data comply with IHO S-44 standards, with horizontal accuracy of 5.7–7.2 cm and vertical accuracies of 5.3–8.3 cm.