Analysis of Disposal Soil Volume Deviations Using Total Station Surveying and UAV Photogrammetry: A Case Study of the Wulan River Improvement Works Project, Package 2
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Disposal work is a critical activity in construction projects that requires accurate volume measurements to prevent cost overruns and material waste on-site. In the Wulan River Improvement Works Project, Package 2, disposal and excavated material placement activities are carried out on a large scale, requiring an effective and efficient measurement method. Conventional surveying using a total station provides high accuracy through point-based data acquisition but requires relatively long survey times. In contrast, unmanned aerial vehicle (UAV) photogrammetry enables rapid surface data acquisition over larger areas at potentially lower operational costs. This study aims to analyze deviations in disposal soil volume measurements obtained using total station surveying and UAV photogrammetry. Field data were acquired using a total station to establish reference measurements and a UAV to capture aerial imagery. The aerial images were subsequently processed to generate a digital elevation model (DEM) and an orthophoto, supported by ground control points (GCPs) for georeferencing and spatial accuracy. Soil volumes were calculated using the cut-and-fill method based on the resulting digital surface models, and the measurements obtained from both techniques were compared to determine absolute volume deviations and percentage differences. The findings are expected to assess the accuracy of UAV photogrammetry relative to total station surveying and provide recommendations for selecting an effective and efficient method for measuring disposal soil volumes in similar river improvement projects.
Al-Tahir, R., & Barran, T. (2020). Earthwork volumetrics with unmanned aerial vehicles: A comparative study. IConETech 2020. https://doi.org/10.47412/KLNQ8966
Aryadi, S. M. P., & Herzanita, A. (2024). Comparative analysis of construction work volumes using BIM and conventional methods. Construction and Material Journal, 6(1), 85–92. https://doi.org/10.32722/cmj.v6i1.4625
Borhan Ahmad Sohibul, G., Teknik, I., Kebumian, T., Perkapalan, I., Borhan, A. S., Arini, D., Geodesi, P. T., Padang, I. T., Jl, A., Mada, G., Kandis, J., Olo, K., Nanggalo, K., Padang, K., & Barat, S. (2025). Perbandingan Volume Run Of Mine dengan Menggunakan Data Hasil Pengukuran Terrestrial Laser Scanner dan Unmanned Aerial Vehicle sebagai tempat penimbunan batu bara yang bersifat sementara . Volume tumpukan batubara Vehicle ( UAV ). Dengan melihat keterbata. 3. https://doi.org/https://doi.org/10.61132/globe.v3i3.1066
Cao, D., Zhang, B., Zhang, X., Yin, L., & Man, X. (2023). Optimization methods on dynamic monitoring of mineral reserves for open pit mine based on UAV oblique photogrammetry. Measurement, 207, 112364. https://doi.org/10.1016/j.measurement.2022.112364
Cho, J., Jeong, S., & Lee, B. (2026). Optimal ground control point layout for UAV photogrammetry in high precision 3D mapping. Measurement, 257, 118343. https://doi.org/10.1016/j.measurement.2025.118343
Chonpatathip, S., Suanpaga, W., & Muttitanon, W. (2023). Earthwork volume measurement in road construction using unmanned aerial vehicle (UAV). International Journal of Geoinformatics, 19(12), 51–64. https://doi.org/10.52939/ijg.v19i12.2977
Deng, T., Sharafat, A., Lee, S., & Seo, J. (2026). Automatic vison-based volume estimation of dump loading for real-time earthwork productivity assessment. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2025.130657
Dwi Novita, R., & Pangestuti, E. K. (2021). Analysis of Quantity Take Off and Cost Budget Plan with Building Information Modeling (BIM) Method Using Autodesk Revit 2019 Software (Case Study: LP3 Building, State University of Semarang). Dinamika Teknik Sipil, 14.
Ekpa, A. U., Eyoh, A. E., & Ubom, O. (2019). A Comparative Analysis of Volumetric Stockpile from UAV Photogrammetry and Total Station Data. International Journal of Geoinformatics and Geological Science, 6(2), 29–37. https://doi.org/10.14445/23939206/ijggs-v6i2p105
Escolà, A., Peña, J. M., López-Granados, F., Rosell-Polo, J. R., de Castro, A. I., Gregorio, E., Jiménez-Brenes, F. M., Sanz, R., Sebé, F., Llorens, J., & Torres-Sánchez, J. (2023). Mobile terrestrial laser scanner vs. UAV photogrammetry to estimate woody crop canopy parameters – Part 1: Methodology and comparison in vineyards. Computers and Electronics in Agriculture, 212, 108109. https://doi.org/10.1016/j.compag.2023.108109
Evaluation Of Uav Photogrammetric Accuracy For Mapping And Earthworks Computations. (2024). Canadian Journal of Civil Engineering. https://www.sciencedirect.com/science/article/pii/S1195103624006785
Ghilani, C. D., & Wolf, P. R. (2018). Elementary Surveying: An Introduction to Geomatics. In Pearson.
Jafari, F., & Dorafshan, S. (2025). Vision based stockpile inventory measurement using uncrewed aerial systems. Ain Shams Engineering Journal, 16, 103251. https://doi.org/10.1016/j.asej.2024.103251
Lee, E., Park, S., Jang, H., Choi, W., & Sohn, H.-G. (2024). Enhancement of low-cost UAV-based photogrammetric point cloud using MMS point cloud and oblique images for 3D urban reconstruction. Measurement, 226, 114158. https://doi.org/10.1016/j.measurement.2024.114158
Mukhlisin, M., Astuti, H. W., Kusumawardani, R., Wardihani, E. D., & Supriyo, B. (2023). Rapid and low cost ground displacement mapping using UAV photogrammetry. Physics and Chemistry of the Earth, 130, 103367. https://doi.org/10.1016/j.pce.2023.103367
Raeva, P. L., Filipova, S. L., & Filipov, D. G. (2016). Volume computation of a stockpile - A study case comparing GPS and uav measurements in an open pit quarry. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 2016-Janua(July), 999–1004. https://doi.org/10.5194/isprsarchives-XLI-B1-999-2016
Wolf, Y., Wies, N., Levine, Y., & Shashua, A. (2024). Fundamental Limitations of Alignment in Large Language Models. International Conference on Machine Learning.
Zhang, D., Watson, R., Dobie, G., MacLeod, C., Khan, A., & Pierce, G. (2020). Quantifying impacts on remote photogrammetric inspection using unmanned aerial vehicles. Engineering Structures, 209, 109940. https://doi.org/10.1016/j.engstruct.2019.109940
Zheng, J., Li, W., Zhang, B., & Lü, Q. (2022). Accuracy comparison of rock discontinuity geometric parameters in photogrammetry based on two georeferencing methods: Control points and geotagged photos. Measurement. https://doi.org/10.1016/j.measurement.2022.111880
Zhu, Y., Yan, Y., Dai, A., Dai, H., Zhang, Y., Zhang, W., Wang, Z., & Li, J. (2025). UAV-MSSH: A novel UAV photogrammetry-based framework for mining surface three-dimensional movement basin monitoring. Measurement, 242, 115944. https://doi.org/10.1016/j.measurement.2024.115944
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