A River Cross Section Survey by UAV Photogrammetry in Lam Pa Chi River, Kanchanaburi Province

Main Article Content

kitipong thongchua
Wisuwat Taesombat

Abstract

This study was to survey the river cross sections in Lam Pa Chi river, Dan Makham Tia Subdistrict, Dan Makham Tia District, Karnchanaburi Province. Almost of study areas are agricultural. The length of the Lam Pa Chi river used in the study was approximately 1 km. and the width range between the left bank and the right bank is about 23 - 40 m. The aerial imagery data from UAV were collected with the overlap distance is 80% and the side lap is 70% of the aerial imagery data. The data collection of 23 ground control points and 5 river cross sections were surveyed by real time kinematics method. The aerial imagery was then processed using 4 different ground control points such as the use of ground control points in total of 4, 8, 16 and 23 points, respectively. The effect of the number of ground control points was subsequently analyzed on the positioning accuracy of the obtained digital surface models in each case. The comparison between the river cross section obtained from the digital surface models and the river cross sectional survey results obtained from the real time kinematics method in each same position were carried out. The results found that the river cross section obtained from the digital surface model with the highest accuracy is the use of 23 ground control points with an average root mean square error of 0.56 m., and NSSDA standard at a 95% confidence level, the average is 0.82 m., followed by the use of ground control points in total of 8, 16 and 4 points, respectively.

Article Details

How to Cite
thongchua, kitipong, & Taesombat, W. (2022). A River Cross Section Survey by UAV Photogrammetry in Lam Pa Chi River, Kanchanaburi Province. Rajamangala University of Technology Srivijaya Research Journal, 14(2), 465–484. Retrieved from https://li01.tci-thaijo.org/index.php/rmutsvrj/article/view/248454
Section
Research Article
Author Biographies

kitipong thongchua, Department of Irrigation Engineering, Faculty of Engineering at Kamphaengsaen, Kasetsart University.

Department of Irrigation Engineering, Faculty of Engineering at Kamphaengsaen, Kasetsart University, Kamphaengsaen Campus, Nakhonpathom 73140, Thailand.

Wisuwat Taesombat, Department of Irrigation Engineering, Faculty of Engineering at Kamphaengsaen, Kasetsart University.

Department of Irrigation Engineering, Faculty of Engineering at Kamphaengsaen, Kasetsart University, Kamphaengsaen Campus, Nakhonpathom 73140, Thailand.

References

Agüera-Vega, F., Carvajal-Ramírez, F. and Martínez-Carricondo, P. 2017. Accuracy of Digital Surface Models and Orthophotos Derived from Unmanned Aerial. Journal of Surveying Engineering 143(2): 04016025.

Alganci, U., Besol, B. and Sertel, E. 2018. Accuracy assessment of different digital surface models. International Journal of Geo-Information 7(3): 114.

Chaninchoduek, M. and Taesombat, W. 2020. Accuracy of UAV based photogrammetry for DSM generation on different flying heights. Engineering Journal Chiang Mai University 27(3): 1-14. (in Thai)

Kunii, Y. 2018. Development of UAV Photogrammetry Method by Using Small Number of Vertical Images. Photogrammetry Remote Sensing and Spatial Information 2(2): 169-175.

Langhammer, J., Bernsteinová, J. and Mirijovsky, J.J.W. 2017. Building a high - precision 2D hydrodynamic flood model using UAV photogrammetry and sensor network monitoring. Water 9(11): 861.

Mazzoleni, M., Paron, P., Reali, A., Juizo, D., Manane, J. and Brandimarte, L. 2020. Testing uav-derived topography for hydraulic modelling in a tropical environment. Natural Hazards 103: 139-163.

Nagendran, S.K., Tung, W.Y., Ashraf, M. and Ismail, M. 2018. Accuracy assessment on low altitude UAV-borne photogrammetry outputs influenced by ground control point at different altitude. IOP Conference Series: Earth and Environmental Science 169: 012031.

Punyo, A. 2019. Flood area analysis by Unmanned Aerial Vehicle, A case study of the Pasak river basin, Lom Sak district, Phetchabun province. Report of Hydrologist (professional level), Royal Irrigation Department. (in Thai)

Rinaldi, P., Larrabide, I. and D’Amato, J. 2019. Drone Based DSM Reconstruction for Flood Simulations in Small Areas A Pilot Study, pp. 758-764. In WorldCIST'19 2019. New Knowledge in Information Systems and Technologies Volume 1. Springer, ed. Cham, Switzerland.

Santitamnont, P. 2012. Digital Photogrammetry (Revised edition). 2nd edition. Chulalongkorn University, Bangkok. (in Thai)

Sooahm, R. and Taejung K. 2015. Automated DSM extraction from UAV images and Performance Analysis, pp. 351-354. In International Conference on Unmanned Aerial Vehicles in Geomatics, 30 Aug-02 Sep 2015. Canadian Institute of Geomatics, Toronto, Canada.

Tangpoomjit, R., Songsang, S., Pasada, A., Wangyao, K. and Lapichayanggul, T. 2020. The Study of UAV-Photogrammetric Accuracy for Mapping Based on Variation of Ground Control Points, pp. 1944-1951. In The 25th National Convention on Civil Engineering. The Engineering Institute of Thailand Under H.M. The king's Patronge, Burapha University, Rambhai Barni Rajabhat University, Kasetsart University, Chonburi. (in Thai)

Yutaka, W. and Yoshihisa, K. 2016. UAV photogrammetry for monitoring changes in river topography and vegetation. Procedia Engineering 154: 317-325.