Quantitative assessment of 2D-3D thematic convergence in UAV-based terrain inventory
By: Robert Gradka and Izabela Piech

References
- Aasen, H., Honkavaara, E., Lucieer, A., and Zarco-Tejada, P. J. (2018). Quantitative Remote Sensing at Ultra-High Resolution with UAV Spectroscopy: A Review of Sensor Technology, Measurement Procedures, and Data Correction Workflows. Remote Sensing, 10(7):1091, doi:10.3390/rs10071091.
- Agüera-Vega, F., Carvajal-Ramírez, F., and Martínez-Carricondo, P. (2017a). Accuracy of Digital Surface Models and Orthophotos Derived from Unmanned Aerial Vehicle Photogrammetry. Journal of Surveying Engineering, 143(2), doi:10.1061/(asce)su.1943-5428.0000206.
- Agüera-Vega, F., Carvajal-Ramírez, F., and Martínez-Carricondo, P. (2017b). Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle. Measurement, 98:221–227, doi:10.1016/j.measurement.2016.12.002.
- Atik, M. E. and Arkali, M. (2024). Comparative Assessment of the Effect of Positioning Techniques and Ground Control Point Distribution Models on the Accuracy of UAV-Based Photogrammetric Production. Drones, 9(1):15, doi:10.3390/drones9010015.
- Bülbül, R., Reder, S., Berendt, F., Beiler, K., Cremer, T., and Mund, J.-P. (2025). Digital Forest Inventory Using Fused UAV and PLS Point Cloud Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-7-2025:299–304, doi:10.5194/isprs-archives-xlviii-m-7-2025-299-2025.
- Cabo, C., Sanz-Ablanedo, E., Roca-Pardinas, J., and Ordonez, C. (2021). Influence of the Number and Spatial Distribution of Ground Control Points in the Accuracy of UAV-SfM DEMs: An Approach Based on Generalized Additive Models. IEEE Transactions on Geoscience and Remote Sensing, 59(12):10618–10627, doi:10.1109/tgrs.2021.3050693.
- Carrera-Hernández, J. J., Levresse, G., and Lacan, P. (2020). Is UAV-SfM surveying ready to replace traditional surveying techniques? International Journal of Remote Sensing, 41(12):4820–4837, doi:10.1080/01431161.2020.1727049.
- Colomina, I. and Molina, P. (2014). Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92:79–97, doi:10.1016/j.isprsjprs.2014.02.013.
- Dronova, I., Kislik, C., Dinh, Z., and Kelly, M. (2021). A Review of Unoccupied Aerial Vehicle Use in Wetland Applications: Emerging Opportunities in Approach, Technology, and Data. Drones, 5(2):45, doi:10.3390/drones5020045.
- Ferrer-González, E., Agüera-Vega, F., Carvajal-Ramírez, F., and Martínez-Carricondo, P. (2020). UAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Points. Remote Sensing, 12(15):2447, doi:10.3390/rs12152447.
- Ivošević, B., Pajević, N., Brdar, S., Waqar, R., Khan, M., and Valente, J. (2025). Comprehensive dataset from high resolution UAV land cover mapping of diverse natural environments in Serbia. Scientific Data, 12(1), doi:10.1038/s41597-025-04437-7.
- Karahan, A., Demircan, N., Özgeriş, M., Gökçe, O., and Karahan, F. (2025). Integration of Drones in Landscape Research: Technological Approaches and Applications. Drones, 9(9):603, doi:10.3390/drones9090603.
- Liu, X., De Cock, A., Ho, L., Pham, K., Panique-Casso, D., Forio, M. A. E., Maes, W. H., and Goethals, P. L. M. (2025). Mapping Waterbird Habitats with UAV-Derived 2D Orthomosaic Along Belgium’s Lieve Canal. Remote Sensing, 17(15):2602, doi:10.3390/rs17152602.
- Malić, B., Moser, V., Rajle, D., Kulić, S., and Barišić, I. (2025). Comparative Assessment of Vertical Precision of Unmanned Aerial Vehicle-Based Geodetic Survey for Road Construction: A Multi-Platform and Multi-Software Approach. Infrastructures, 10(11):287, doi:10.3390/infrastructures10110287.
- Martínez-Carricondo, P., Agüera-Vega, F., and Carvajal-Ramírez, F. (2023). Accuracy assessment of RTK/PPK UAV-photogrammetry projects using differential corrections from multiple GNSS fixed base stations. Geocarto International, 38(1), doi:10.1080/10106049.2023.2197507.
- Meng, C., Yang, H., Jiang, C., Hu, Q., and Li, D. (2025). Improving UAV Remote Sensing Photogrammetry Accuracy Under Navigation Interference Using Anomaly Detection and Data Fusion. Remote Sensing, 17(13):2176, doi:10.3390/rs17132176.
- Nex, F. and Remondino, F. (2013). UAV for 3D mapping applications: a review. Applied Geomatics, 6(1):1–15, doi:10.1007/s12518-013-0120-x.
- Sestras, P., Badea, G., Badea, A. C., Salagean, T., Ros,ca, S., Kader, S., and Remondino, F. (2025). Land surveying with UAV photogrammetry and LiDAR for optimal building planning. Automation in Construction, 173:106092, doi:10.1016/j.autcon.2025.106092.
- Stroner, M., Urban, R., Reindl, T., Seidl, J., and Brouček, J. (2020). Evaluation of the Georeferencing Accuracy of a Photogrammetric Model Using a Quadrocopter with Onboard GNSS RTK. Sensors, 20(8):2318, doi:10.3390/s20082318.
- Stroner, M., Urban, R., Seidl, J., Reindl, T., and Brouček, J. (2021). Photogrammetry Using UAV-Mounted GNSS RTK: Georeferencing Strategies without GCPs. Remote Sensing, 13(7):1336, doi:10.3390/rs13071336.
- Stöcker, C., Nex, F., Koeva, M., and Gerke, M. (2020). High-Quality UAV-Based Orthophotos for Cadastral Mapping: Guidance for Optimal Flight Configurations. Remote Sensing, 12(21):3625, doi:10.3390/rs12213625.
- Sun, Z., Wang, X., Wang, Z., Yang, L., Xie, Y., and Huang, Y. (2021). UAVs as remote sensing platforms in plant ecology: review of applications and challenges. Journal of Plant Ecology, 14(6):1003–1023, doi:10.1093/jpe/rtab089.
- Thuse, T. (2023). An assessment of UAV-generated digital elevation model using ground surveying techniques. PhD thesis, Cape Peninsula University of Technology.
- Tinkham, W. T. and Woolsey, G. A. (2024). Influence of Structure from Motion Algorithm Parameters on Metrics for Individual Tree Detection Accuracy and Precision. Remote Sensing, 16(20):3844, doi:10.3390/rs16203844.
- Turner, D., Lucieer, A., and Watson, C. (2012). An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sensing, 4(5):1392–1410, doi:10.3390/rs4051392.
- Wallace, L., Lucieer, A., Watson, C., and Turner, D. (2012). Development of a UAV-LiDAR System with Application to Forest Inventory. Remote Sensing, 4(6):1519–1543, doi:10.3390/rs4061519.
- Wang, M., Yue, G., Xiong, J., and Tian, S. (2024). Intelligent Point Cloud Processing, Sensing, and Understanding. Sensors, 24(1):283, doi:10.3390/s24010283.
- Wang, Y., Pan, L., Pollefeys, M., and Larsson, V. (2025). Structure-From-Motion with a Non-Parametric Camera Model. In 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), page 1040–1049. IEEE, doi:10.1109/cvpr52734.2025.00105.
- Widomski, M. (2025). Terrain inventory based on UAV imagery. Master’s thesis, Faculty of Environmental Engineering and Geodesy, Hugo Kołłątaj University of Agriculture in Kraków, Poland.
- Yang, B., Haala, N., and Dong, Z. (2023). Progress and perspectives of point cloud intelligence. Geo-spatial Information Science, 26(2):189–205, doi:10.1080/10095020.2023.2175478.
- Yildiz, V. and Yaman, A. (2025). Comparison and accuracy assessment of unmanned aerial vehicle and terrestrial measurement in base map production. The Egyptian Journal of Remote Sensing and Space Sciences, 28(1):53–62, doi:10.1016/j.ejrs.2024.12.003.
- Yu, J. J., Kim, D. W., Lee, E. J., and Son, S. W. (2020). Determining the Optimal Number of Ground Control Points for Varying Study Sites through Accuracy Evaluation of Unmanned Aerial System-Based 3D Point Clouds and Digital Surface Models. Drones, 4(3):49, doi:10.3390/drones4030049.
- Zhong, H., Duan, Y., Tao, P., and Zhang, Z. (2025). Influence of ground control point reliability and distribution on UAV photogrammetric 3D mapping accuracy. Geo-spatial Information Science, 28(5):1998–2018, doi:10.1080/10095020.2025.2451204.
Language: English
Page range: 67 - 76
Submitted on: Mar 10, 2026
Accepted on: Jun 22, 2026
Published on: Jul 2, 2026
Published by: Warsaw University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
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© 2026 Robert Gradka, Izabela Piech, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.