Research Article

Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water

Volume: 10 Number: 3 September 17, 2025
EN

Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water

Abstract

Accurate bathymetric data is essential for marine and coastal applications, particularly in shallow water regions. Unmanned Aerial Vehicle (UAV)-based systems are recognized for their cost-effectiveness and flexibility, making them a promising alternative in shallow-water environments where Multi Beam Echosounder (MBES) systems often face limitations due to high operational costs or logistical challenges. However, the UAV-based method is influenced by refraction effects, which result in underwater objects being perceived as shallower than their actual depth, leading to a decrease in the accuracy of the bathymetric model. To address this issue, the underestimation of water depth in submerged areas caused by refraction was evaluated using a correction algorithm. This study aims to assess the accuracy and usability of the UAV-based Digital Elevation Model (DEM) for seafloor mapping. For this assessment, the UAV-based DEM from the water body was compared with high-resolution three-dimensional (3D) seafloor topography obtained from a multi beam acoustic survey conducted in the same water area. The results indicated that an accuracy of 1.2 meters (RMSE) can be achieved in relatively shallow water areas up to a depth of 5 meters, while an accuracy of 2.0 meters (RMSE) is achievable at depths of around 15 meters. The study also highlighted the direct correlation between UAV-based DEM accuracy and depth, as well as the impact of sun glint on measurement accuracy. These findings underscore the potential of UAV technology to enhance bathymetric surveying capabilities, particularly in regions where MBES is either impractical or cost-prohibitive, thereby offering a valuable tool for comprehensive mapping and coastal studies

Keywords

Supporting Institution

1. Ministry of Environment, Urbanization, and Climate Change 2. The Scientific Research Projects Department of Istanbul Technical University

Project Number

1. Integrated Marine Pollution Monitoring Program owned by the Ministry of Environment, Urbanization, and Climate Change 2. Scientific Research Projects Department of Istanbul Technical University Project Number: MYL-2024-45870

Ethical Statement

I declare that this study is original and that I have adhered to the principles and rules of scientific ethics at every stage. I confirm that I have cited all sources for data and information not obtained within the scope of this study and included them in the bibliography, and that I have made no alterations to the data used.

Thanks

This study was carried out as part of the Master Thesis prepared by Tuğba Kılıç at Istanbul Technical University, Graduate School. The data used in this study were obtained from the monitoring activities conducted as part of the "Integrated Marine Pollution Monitoring Program", carried out by the Scientific and Technological Research Council of Türkiye Marmara Research Center (TUBITAK MRC) and owned by the Ministry of Environment, Urbanization, and Climate Change. This work was supported by the Scientific Research Projects Department of Istanbul Technical University. Project Number: MYL-2024-45870. We would like to express our sincere gratitude to the Directorate General for Mapping (HGM) for their invaluable support. We are also deeply appreciative of Quality Positioning Services BV (QPS)’s generous support, which graciously provided access to the Fledermaus software. Their contribution significantly enhanced the scope and quality of our analysis, enabling us to perform advanced data processing and visualization.

References

  1. Snellen, M., Siemes, K., & Simons, D. G. (2011). Model-based sediment classification using single-beam echosounder signals. The Journal of the Acoustical Society of America, 129(5), 2878-2888.
  2. Landero Figueroa, M. M., Parsons, M. J., Saunders, B. J., Radford, B., Salgado‐Kent, C., & Parnum, I. M. (2021). The use of singlebeam echo‐sounder depth data to produce demersal fish distribution models that are comparable to models produced using multibeam echo‐sounder depth. Ecology and Evolution, 11(24), 17873-17884.
  3. Peeri, S., Gardner, J. V., Ward, L. G., & Morrison, J. R. (2010). The seafloor: A key factor in LiDAR bottom detection. IEEE Transactions on Geoscience and Remote Sensing, 49(3), 1150-1157.
  4. Hell, B. (2011). Mapping bathymetry: From measurement to applications. (Doctoral dissertation). Stockholm University, Department of Geological Sciences, Stockholm.
  5. Kim, M., Danielson, J., Storlazzi, C., & Park, S. (2024). Physics-Based Satellite-Derived Bathymetry (SDB) Using Landsat OLI Images. Remote Sensing, 16(5), 843.
  6. Serwa, A. (2016). Development of Software Application for Digital Photogrammetric Systems (ADPS): Basic Level. International Conference on Civil and Architecture Engineering, (pp. 1-15). Military Technical College, April 19-21.
  7. Zhang, C., & Kovacs, J. M. (2012). The application of small unmanned aerial systems for precision agriculture: a review. Precision Agriculture, 13, 693-712.
  8. Radoglou-Grammatikis, P., Sarigiannidis, P., Lagkas, T., & Moscholios, I. (2020). A compilation of UAV applications for precision agriculture. Computer Networks, 172, 107148.

Details

Primary Language

English

Subjects

Geospatial Information Systems and Geospatial Data Modelling, Photogrametry, Surveying (Incl. Hydrographic Surveying)

Journal Section

Research Article

Early Pub Date

February 7, 2025

Publication Date

September 17, 2025

Submission Date

November 10, 2024

Acceptance Date

January 31, 2025

Published in Issue

Year 2025 Volume: 10 Number: 3

APA
Kılıç, T., Akyol, O., & Alkan, R. M. (2025). Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water. International Journal of Engineering and Geosciences, 10(3), 303-312. https://doi.org/10.26833/ijeg.1582508
AMA
1.Kılıç T, Akyol O, Alkan RM. Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water. IJEG. 2025;10(3):303-312. doi:10.26833/ijeg.1582508
Chicago
Kılıç, Tuğba, Onur Akyol, and Reha Metin Alkan. 2025. “Comparison of UAV-Based Digital Elevation Model With Multi Beam Bathymetry for Shallow Water”. International Journal of Engineering and Geosciences 10 (3): 303-12. https://doi.org/10.26833/ijeg.1582508.
EndNote
Kılıç T, Akyol O, Alkan RM (September 1, 2025) Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water. International Journal of Engineering and Geosciences 10 3 303–312.
IEEE
[1]T. Kılıç, O. Akyol, and R. M. Alkan, “Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water”, IJEG, vol. 10, no. 3, pp. 303–312, Sept. 2025, doi: 10.26833/ijeg.1582508.
ISNAD
Kılıç, Tuğba - Akyol, Onur - Alkan, Reha Metin. “Comparison of UAV-Based Digital Elevation Model With Multi Beam Bathymetry for Shallow Water”. International Journal of Engineering and Geosciences 10/3 (September 1, 2025): 303-312. https://doi.org/10.26833/ijeg.1582508.
JAMA
1.Kılıç T, Akyol O, Alkan RM. Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water. IJEG. 2025;10:303–312.
MLA
Kılıç, Tuğba, et al. “Comparison of UAV-Based Digital Elevation Model With Multi Beam Bathymetry for Shallow Water”. International Journal of Engineering and Geosciences, vol. 10, no. 3, Sept. 2025, pp. 303-12, doi:10.26833/ijeg.1582508.
Vancouver
1.Tuğba Kılıç, Onur Akyol, Reha Metin Alkan. Comparison of UAV-based digital elevation model with multi beam bathymetry for shallow water. IJEG. 2025 Sep. 1;10(3):303-12. doi:10.26833/ijeg.1582508