Issue |
BIO Web Conf.
Volume 131, 2024
6th International Conference on Tropical Resources and Sustainable Sciences (CTReSS 6.0)
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Article Number | 04007 | |
Number of page(s) | 13 | |
Section | Geosciences | |
DOI | https://doi.org/10.1051/bioconf/202413104007 | |
Published online | 15 October 2024 |
Mapping Embankment Dam Geomorphology Using Unmanned Aerial Vehicles (UAVs): A Case Study of Bukit Kwong Dam, Kelantan, Malaysia
1 Faculty of Earth Science, Universiti Malaysia Kelantan (Jeli Campus), 17600 Jeli, Kelantan, Malaysia
2 Tropical GeoResource & Hazards Research Group, Faculty of Earth Science, Universiti Malaysia Kelantan (Jeli Campus), 17600 Jeli, Kelantan, Malaysia
* Corresponding author: nasuhaishak21@gmail.com
Dam hazards impose huge risks to the community as well as infrastructures. Obtaining and comprehending terrain features through geomorphological mapping is vital for dam area as it enables prediction of potential future terrain changes. The utilization of Unmanned Aerial Vehicles (UAVs) has garnered significant interest in geological, geomorphological, and geotechnical studies owing to their capacity to acquire high-resolution data from challenging structures like dams. This paper aims to assess the geomorphology characteristics such as topography of the embankment dam located at Bukit Kwong Dam, Kelantan Malaysia by utilizing the photogrammetric immages acquired from UAV including Orthomosaic, Digital Surface Model (DSM) and points clouds using Structure from Motion (SfM) approach. An accuracy assessment for the generated DSM containing topography information was made to prove the reliability of the data. As a result, the millimetre uncertainty in the form of Root Mean Square Error (RMSE) was calculated approximately 8.04 mm and 0.33 mm for both horizontal and vertical accuracy respectively. The results demonstrate a high level of reliability to ensure the accuracy of future works such as hazards prediction in the dam area.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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