Abstract
The use of unmanned aerial vehicles (UAV) in photogrammetric mapping/surveying facilities has increased recently due to the developments on photogrammetric instruments and algorithms that enhance high-quality final products (orthoimages, digital surface model-DSM, etc.) in fast, accurate, and economical way. The aim of this study was to assess the accuracy of a UAV-based post-processing kinematic (PPK) solution. To do that, two methods were implemented with PPK solution and georeferencing with ground control points (GCPs). According to the statistical results, root mean square error (RMSE) values obtained from the GCPs and PPK solutions in the horizontal component are 6.5 cm and 5.4 cm, respectively. The RMSE values in the vertical component (ellipsoidal heights) were obtained as 4.8 cm (GCPs) and 5.2 cm (PPK), respectively. The results show that UAV-PPK method can also be used to produce photogrammetric products where high accuracy (≤ 10 cm) is required without GCPs. In addition, the results obtained regarding the use of this method clearly show that it can be applied in many different fields such as agriculture, forestry, natural disasters, and geomatics.
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The data used in this study are provided by Atmos UAV B.V. Company. Therefore, it is not possible for us to share the data without the consent of the relevant companies.
References
Benassi, F., Dall’Asta, E., Diotri, F., Forlani, G., Morra di Cella, U., Roncella, R., & Santise, M. (2017). Testing accuracy and repeatability of UAV blocks oriented with GNSS-supported aerial triangulation. Remote Sensing, 9(2), 172. Retrieved from: http://dx.doi.org/10.3390/rs9020172
Cledat, E., Jospin, L. V., Cucci, D. A., & Skaloud, J. (2020). Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment. ISPRS Journal of Photogrammetry and Remote Sensing, 167, 24–38.
Ekaso, D., Nex, F., & Kerle, N. (2020). Accuracy assessment of real-time kinematics (RTK) measurements on unmanned aerial vehicles (UAV) for direct geo-referencing. Geo-Spatial Information Science, 23(2), 165–181.
Eker, R., Aydın, A., & Hübl, J. (2018). Unmanned aerial vehicle (UAV)-based monitoring of a landslide: Gallenzerkogel landslide (Ybbs-Lower Austria) case study. Environmental Monitoring and Assessment, 190(1), 1–14.
Eker, E., Alkan, E., & Aydın, A. (2021). A comparative analysis of UAV-RTK and UAV-PPK methods in mapping different surface types. European Journal of Forest Engineering, 7(1), 12–25.
Famiglietti, N. A., Cecere, G., Grasso, C., Memmolo, A., & Vicari, A. (2021). A test on the potential of a low cost unmanned aerial vehicle RTK/PPK solution for precision positioning. Sensors, 21(11), 3882.
Fazeli, H., Samadzadegan, F., & Dadrasjavan, F. (2016). Evaluating the potential of RTK-UAV for automatic point cloud generation in 3D rapid mapping. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 41, 221. https://doi.org/10.5194/isprs-archives-XLI-B6-221-2016
Ferrer-González, E., Agüera-Vega, F., Carvajal-Ramírez, F., & 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.
Forlani, G., Dall’Asta, E., Diotri, F., Cella, U. M. D., Roncella, R., & Santise, M. (2018). Quality assessment of DSMs produced from UAV flights georeferenced with on-board RTK positioning. Remote Sensing, 10(2), 311.
GIM. (2020). Atmos UAV and Topcon join forces for RTK reference network solutions. https://www.gim-international.com/content/news/atmos-uav-and-topcon-join-forces-for-rtk-reference-network-solutions
James, M. R., Robson, S., d’Oleire-Oltmanns, S., & Niethammer, U. (2017). Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment. Geomorphology. https://doi.org/10.1016/j.geomorph.2016.11.021
James, M. R., & Robson, S. (2012). Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. Journal of Geophysical Research: Earth Surface, 117(F3). https://doi.org/10.1029/2011JF002289
Liu, X., Lian, X., Yang, W., Wang, F., Han, Y., & Zhang, Y. (2022). Accuracy assessment of a UAV direct georeferencing method and impact of the configuration of ground control points. Drones, 6(2), 30.
Padró, J. C., Muñoz, F. J., Planas, J., & Pons, X. (2019). Comparison of four UAV georeferencing methods for environmental monitoring purposes focusing on the combined use with airborne and satellite remote sensing platforms. International Journal of Applied Earth Observation and Geoinformation, 75, 130–140.
Rizos, C., Janssen, V., Roberts, C., & Grinter, T. (2012). Precise Point Positioning: Is the era of differential GNSS positioning drawing to an end?.
Rossi, G., Tanteri, L., Tofani, V., Vannocci, P., Moretti, S., & Casagli, N. (2018). Multitemporal UAV surveys for landslide mapping and characterization. Landslides, 2018(15), 1045–1052.
Soycan, M., & Ocalan, T. (2011). A regression study on relative GPS accuracy for different variables. Survey Review, 43(320), 137–149.
Stöcker, C., Bennett, R., Nex, F., Gerke, M., & Zevenbergen, J. (2017). Review of the current state of UAV regulations. Remote Sensing, 9, 459. https://doi.org/10.3390/rs9050459
Tahar, K. N. (2013). An evaluation on different number of ground control points in unmanned aerial vehicle photogrammetric block. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci, 40, 93-98.
Turk, T., & Ocalan, T. (2020). PPK GNSS Sistemine Sahip İnsansız Hava Araçları İle Elde Edilen Fotogrametrik Ürünlerin Doğruluğunun Farklı Yaklaşımlarla İrdelenmesi. Türkiye Fotogrametri Dergisi, 2(1), 22–28. (in Turkish).
Tarolli, P. (2014). High-resolution topography for understanding earth surface processes: Opportunities and challenges. Geomorphology, 216, 295–312. https://doi.org/10.1016/j.geomorph.2014.03.008
Tomaštík, J., Mokroš, M., Surový, P., Grznárová, A., & Merganič, J. (2019). UAV RTK/PPK method-An optimal solution for mapping inaccessible forested areas? Remote Sensing, 11, 721.
Zhang, H., Aldana-Jague, E., Clapuyt, F., Wilken, F., Vanacker, V., & Van Oost, K. (2019). Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure from-motion (SfM) photogrammetry and surface change detection, Earth Surf. Dynam., 7, 807–827. https://doi.org/10.5194/esurf-7-807-2019
Zulkipli, M. A., & Tahar, K. N. (2018). Multirotor UAV-based photogrammetric mapping for road design. International Journal of Optics. https://doi.org/10.1155/2018/1871058
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The authors would like to thank Atmos UAV B.V. Company for their contributions to flight and field studies.
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Türk, T., Tunalioglu, N., Erdogan, B. et al. Accuracy assessment of UAV-post-processing kinematic (PPK) and UAV-traditional (with ground control points) georeferencing methods. Environ Monit Assess 194, 476 (2022). https://doi.org/10.1007/s10661-022-10170-0
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DOI: https://doi.org/10.1007/s10661-022-10170-0