Elevation Accuracy Assessment of Aerial LiDAR against Total Station for Topographic Mapping under Diverse Terrain Conditions
Iqbal Hanun Azizi(1*), Purnama Budi Santosa(2), Fadila Sobasita(3), Nurrohmat Widjajanti(4)
(1) Departemen Teknik Geodesi Fakultas Teknik Universitas Gadjah Mada
(2) Departemen Teknik Geodesi Fakultas Teknik Universitas Gadjah Mada
(3) Departemen Teknik Geodesi Fakultas Teknik Universitas Gadjah Mada
(4) Departemen Teknik Geodesi Fakultas Teknik Universitas Gadjah Mada
(*) Corresponding Author
Abstract
Topographic mapping requires precise three-dimensional (3D) coordinates for geospatial applications. Conventional terrestrial surveys using Total Station (TS) and GNSS-RTK provide reliable accuracy but are time-consuming. Aerial LiDAR offers a faster alternative by generating high-density point clouds with wide coverage, although its accuracy must be evaluated. This study assesses the elevation accuracy of LiDAR compared to TS across six terrain categories: open ground surface, vegetation-covered surface, road section, sparsely populated settlement, densely populated settlement, and river. Data acquisition employed a 1 m grid to align horizontal coordinates and focused on elevation values. The evaluation included descriptive statistics, elevation difference histograms, Root Mean Square Error (RMSE), and linear correlation analysis. Results indicate that LiDAR achieved high accuracy in open ground and road sections, with low RMSE and correlation values equal to one. Accuracy decreased in settlements due to roof and wall reflections, and in dense vegetation where laser pulses were blocked by canopy. Despite these limitations, LiDAR effectively represented contour patterns after filtering, classification, and breakline addition. In rivers, LiDAR produced the largest deviations caused by water reflectivity, while TS remained precise for riverbed elevations. This study demonstrates that LiDAR is highly effective for mapping open areas and roads, applicable in settlements with further processing, and still useful in vegetated terrain through its multiple-return capability. However, water bodies require TS validation as a precision reference. Overall, LiDAR provides efficient wide-area data acquisition, while TS continues to serve as the precision standard in complex conditions under ISO/IEC 17025. The application of ISO/IEC 17025 is essential to ensure that measurement, calibration, and data validation comply with principles of accuracy, traceability, and uncertainty control, thereby making topographic mapping results accountable.
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Abdullah, Q. A. (2017). Mapping matters-breaklines for lidar data, do we really need them? In Photogrammetric Engineering and Remote Sensing (Vol. 83, Issue 9, pp. 599–602). American Society for Photogrammetry and Remote Sensing. https://doi.org/10.14358/PERS.83.9.599
Azmi, S. M., Ahmad, B., & Ahmad, A. (2014). Accuracy assessment of topographic mapping using UAV image integrated with satellite images. IOP Conference Series: Earth and Environmental Science, 18(1). https://doi.org/10.1088/1755-1315/18/1/012015
Basuki, S. (2011). Ilmu Ukur Tanah (Cetakan kedua). Gadjah Mada University Press.
Bhattarai, A., Scarpin, G. J., Jakhar, A., Porter, W., Hand, L. C., Snider, J. L., & Bastos, L. M. (2025). Optimizing Unmanned Aerial Vehicle LiDAR Data Collection in Cotton Through Flight Settings and Data Processing. Remote Sensing, 17(9). https://doi.org/10.3390/rs17091504
Chen, Y., Wang, C., & Li, J. (2015). Hidden target detection from the multi-echo small-footprint LiDAR point clouds. 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP), 1–6. https://doi.org/10.1109/MMSP.2015.7340880
Derber, J., Johnson, L., Author, P., Speaker, I., & Radio, F. (2015). Early Bird Registration Keynote Speakers Matt Simpson the United States Association of Blind Athletes. www.afb.org/CVLdirector.
Ding, J., & Chen, L. (2024). Application of UAV airborne LiDAR technology in highway engineering construction. Journal of Physics: Conference Series, 2863(1). https://doi.org/10.1088/1742-6596/2863/1/012015
Febriana, E. (2018). ANALISIS METODE HYDRO ENFORCEMENT DALAM PEMBUATAN DIGITAL TERRAIN MODEL LIDAR PADA OBYEK PERAIRAN PETA RUPA BUMI INDONESIA SKALA 1:5000. Intitut Teknologi Sepuluh NOvember.
Guth, P. L., Van Niekerk, A., Grohmann, C. H., Muller, J. P., Hawker, L., Florinsky, I. V., Gesch, D., Reuter, H. I., Herrera-Cruz, V., Riazanoff, S., López-Vázquez, C., Carabajal, C. C., Albinet, C., & Strobl, P. (2021). Digital elevation models: Terminology and definitions. Remote Sensing, 13(18). https://doi.org/10.3390/rs13183581
Intani, M. M. (2019). PEMODELAN REGRESI PANEL DENGAN PENDEKATAN MODEL FIXED EFFECT. UNIVERSITAS BRAWIJAYA.
Khodabocus, F. (2011). Implementation and Practical Benefits of ISO/IEC 17025:2005 in a Testing Laboratory. In RESEARCH JOURNAL (Vol. 17).
Killinger, D. K. (2014). Lidar (light detection and ranging). Laser Spectroscopy for Sensing: Fundamentals, Techniques and Applications, 292–312. https://doi.org/10.1533/9780857098733.2.292
Maltamo, M., Eerikäinen, K., Pitkänen, J., Hyyppä, J., & Vehmas, M. (2004). Estimation of timber volume and stem density based on scanning laser altimetry and expected tree size distribution functions. Remote Sensing of Environment, 90(3), 319–330. https://doi.org/https://doi.org/10.1016/j.rse.2004.01.006
Nicolas, M., & Frédéric, P. (2018). Introduction to QGIS. In QGIS and Generic Tools (pp. 1–17). John Wiley & Sons, Ltd. https://doi.org/https://doi.org/10.1002/9781119457091.ch1
Olawuyi, A. P., & Okeniyi, E. O. (2023). Accuracy Assessment of Height Difference Using Total Station and Levelling Instrument. www.worldscientificnews.com
Ozdemir, S., Akbulut, Z., Karsli, F., & Acar, H. (2021). Automatic extraction of trees by using multiple return properties of the lidar point cloud. International Journal of Engineering and Geosciences, 6(1), 20–26. https://doi.org/10.26833/ijeg.668352
Reutebuch, S. E., Mc Gaughey, R. J., Andersen, H. E., & Carson, W. W. (2003). Accuracy of a high-resolution lidar terrain model under a conifer forest canopy. Canadian Journal of Remote Sensing, 29(5), 527–535. https://doi.org/10.5589/m03-022
Sakurai, Y., Rikimaru, A., & Takahashi, K. (2006). Examination of the SRTM-DEM Subdivision Technique Extracting and Using Topographic Breakline Information. Journal of The Japan Society of Photogrammetry and Remote Sensing, 45(5), 46–52. https://doi.org/https://doi.org/10.4287/JSPRS.45.5_46
Saleem, N., Enamul Huq, M., Twumasi, N. Y. D., Javed, A., & Sajjad, A. (2019). Parameters derived from and/or used with digital elevation models (DEMs) for landslide susceptibility mapping and landslide risk assessment: A review. In ISPRS International Journal of Geo-Information (Vol. 8, Issue 12). MDPI AG. https://doi.org/10.3390/ijgi8120545
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