journal article·2023-07-17Open access

Application of Drone LiDAR Survey for Evaluation of a Long-Term Consolidation Settlement of Large Land Reclamation

Joonghee Lee, Hyeonjeong Jo, Jaehong Oh

Applied Sciences· Volume 13· Issue 14

Abstract

Drone surveys are gaining popularity for many construction applications, including in the fields of civil engineering, such as road construction, earthwork, structure monitoring, and coastal topography analysis. Drone surveying has a high potential for periodical long-term ground settlement measurement in the field of geotechnical engineering. Traditionally, manual measurement has been performed for limited points with controlled surface measurement points, but drone surveying may enable automated and periodical measurement for a wide and remote site. However, the accuracy of the elevation measurement and the surface settlement prediction has not been investigated, and the use of drone surveying has thus been limited. Therefore, an experiment was carried out to apply drone LiDAR (Light Detection and Ranging) surveying for soft ground settlement measurement at a large land reclamation site showing a very large settlement up to 10 m. Periodic drone LiDAR surveying was conducted, and the data were processed with direct georeferencing and with outlier removals (such as trees and construction vehicles) in order to generate a clean surface point cloud. We then compared the processed elevation data with ground control data to check the vertical accuracy and to predict the settlement as well as for consolidation. The drone LiDAR survey showed 13 cm, 42.9 cm, and 6.23% differences in RMSE (Root Mean Square Error) in terms of vertical accuracy, predicted long-term settlement, and consolidation, respectively. The drone LiDAR accuracy seems very useful for monitoring settlement over a large and remote land reclamation site of soft ground, showing settlement up to several meters where, without a surface measurement, installment is limited.
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Research context

OpenAlex topics: 3D Surveying and Cultural Heritage · Remote Sensing and LiDAR Applications · Robotics and Sensor-Based Localization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Construction Department HL D&I Halla, Busan 51611, Republic of Korea

Interdisciplinary Major of Ocean Renewable Energy Engineering, Korea Maritime and Ocean University, Busan 49112, Republic of Korea

Department of Civil Engineering Korea Maritime and Ocean University, Busan 49112, Republic of Korea

Funding

National Research Foundation of Korea · Ministry of Oceans and Fisheries of Republic of Korea for its the research on Advanced Port Construction technology

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