Publicly available spatial data as a source of coordinates for ground control points
DOI:
https://doi.org/10.14311/CEJ.2025.04.0037Keywords:
public data , orthophoto, LiDAR, coordinates, PhotogrammetryAbstract
Nowadays, direct georeferencing methods, utilizing GNSS receivers and Inertial Measurement Units (IMUs) on aircraft carriers, are commonly employed to generate products from aerial imagery, including orthophotos and digital elevation models. However, certain scenarios necessitate the utilization of signalized ground control points, such as when higher accuracy is required, large areas need coverage, or GNSS correction data is unavailable. This paper explores leveraging publicly available data, such as orthophotos and digital elevation models, for photogrammetric projects. The methodology involves identifying identical points suitable for embedding from both publicly available data and acquired aerial photographs, retrieving X, Y coordinates from orthophotos, and Z coordinates from elevation (LiDAR) data. Evaluation using advanced geostatistical methods in urban areas and application to landscape documentation in Bohemian Switzerland National Park with diverse photogrammetric sensors demonstrate that the resulting data falls within the accuracy class, meeting standards possibly sufficient even for cadaster needs (based on the national decrees). This approach accelerates photogrammetric imaging preparation and implementation, particularly when aerial vehicles with IMUs are impractical. Moreover, it contributes to reducing the carbon footprint of aerial imaging by limiting motor vehicle movement within the area of interest.
Received: 13.03.2025
Received in revised form: 19.06.2025
Accepted: 02.12.2025
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Lamsters K, Karušs J, Krievāns M, Ješkins J (2020) High-resolution orthophoto map and Digital Surface models of the largest Argentine Islands (the Antarctic) from Unmanned Aerial Vehicle photogrammetry. Journal of Maps 16:335–347. doi: 10.1080/17445647.2020.1748130
Biyik MA, Atik ME, Duran Z (2023) Deep learning-based vehicle detection from orthophoto and spatial accuracy analysis. International Journal of Engineering and Geosciences 8:138–145. doi: 10.26833/ijeg.1080624
Boon MA, Tesfamichael S (2017) Wetland vegetation integrity assessment with low altitude multispectral UAV imagery. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6:55–62. doi: 10.5194/isprs-archives-xlii-2-w6-55-2017
Güngör R, Uzar M, Atak B, et al (2022) Orthophoto production and Accuracy Analysis with UAV photogrammetry. Mersin Photogrammetry Journal 4:1–6. doi: 10.53093/mephoj.1122615
Ullman S (1979) The interpretation of structure from motion. Proceedings of the Royal Society of London, B203.
Seitz SM, Curless B, Diebel J, et al A comparison and evaluation of Multi-View Stereo Reconstruction Algorithms. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR’06). doi: 10.1109/cvpr.2006.19
Brutto ML, Meli P (2012) Computer vision tools for 3D Modelling in archaeology. International Journal of Heritage in the Digital Era 1:1–6. doi: 10.1260/2047-4970.1.0.1
Verhoeven G (2011) Taking computer vision aloft – archaeological three‐dimensional reconstructions from aerial photographs with Photoscan. Archaeological Prospection 18:67–73. doi: 10.1002/arp.399
Verhoeven G, Doneus M, Briese Ch, Vermeulen F (2012) Mapping by matching: A computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs. Journal of Archaeological Science 39:2060–2070. doi: 10.1016/j.jas.2012.02.022
Ludwig M, M. Runge C, Friess N, et al (2020) Quality Assessment of photogrammetric methods—a workflow for reproducible UAS ORTHOMOSAICS. Remote Sensing 12:3831. doi: 10.3390/rs12223831
Taddia Y, González-García L, Zambello E, Pellegrinelli A (2020) Quality Assessment of photogrammetric models for façade and building reconstruction using DJI Phantom 4 RTK. Remote Sensing 12:3144. doi: 10.3390/rs12193144
Štroner M, Urban R, Seidl J, et al (2021) Photogrammetry using UAV-mounted GNSS RTK: Georeferencing Strategies without GCPS. Remote Sensing 13:1336. doi: 10.3390/rs13071336
Rizaldy A, Firdaus W (2012) Direct georeferencing : A new standard in photogrammetry for high accuracy mapping. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B1:5–9. doi: 10.5194/isprsarchives-xxxix-b1-5-2012
Brodie MA, Walmsley A, Page W (2008) The static accuracy and calibration of inertial measurement units for 3D orientation. Computer Methods in Biomechanics and Biomedical Engineering 11:641–648. doi: 10.1080/10255840802326736
Dinkov D (2023) Accuracy assessment of high-resolution terrain data produced from UAV images georeferenced with on-board PPK positioning. Journal of the Bulgarian Geographical Society 48:43–53. doi: 10.3897/jbgs.e89878
Vieira D, Orjuela R, Spisser M, Basset M (2022) Positioning and attitude determination for precision agriculture robots based on IMU and two RTK gpss sensor fusion. IFAC-PapersOnLine 55:60–65. doi: 10.1016/j.ifacol.2022.11.115
Nagendran SK, Tung WY, Mohamad Ismail MA (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. doi: 10.1088/1755-1315/169/1/012031
Tahar KN (2013) An evaluation on different number of ground control points in unmanned aerial vehicle photogrammetric block. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W2:93–98. doi: 10.5194/isprsarchives-xl-2-w2-93-2013
Ulvi A (2021) The effect of the distribution and numbers of ground control points on the precision of producing orthophoto maps with an unmanned aerial vehicle. Journal of Asian Architecture and Building Engineering 20:806–817. doi: 10.1080/13467581.2021.1973479
Ilci V, Toth C (2020) High definition 3D map creation using GNSS/IMU/LIDAR sensor integration to support Autonomous Vehicle Navigation. Sensors 20:899. doi: 10.3390/s20030899
Barazzetti L, Previtali M, Roncoroni F (2022) 3D modeling with 5K 360° videos. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-2/W1-2022:65–71. doi: 10.5194/isprs-archives-xlvi-2-w1-2022-65-2022
Barazzetti L, Previtali M, Roncoroni F, Valente R (2019) Connecting inside and outside through 360° imagery for close-range photogrammetry. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9:87–92. doi: 10.5194/isprs-archives-xlii-2-w9-87-2019
McMahon C, Mora OE, Starek MJ (2021) Evaluating the performance of SUAS photogrammetry with PPK positioning for infrastructure mapping. Drones 5:50. doi: 10.3390/drones5020050
Oniga V-E, Breaban A-I, Statescu F (2018) Determining the optimum number of ground control points for obtaining high precision results based on UAS Images. The 2nd International Electronic Conference on Remote Sensing. doi: 10.3390/ecrs-2-05165
Rabins LF, Theuerkauf EJ, Bunting EL (2023) Using existing infrastructure as ground control points to support citizen science coastal UAS Monitoring Programs. Frontiers in Environmental Science. doi: 10.3389/fenvs.2023.1101458
Martínez-Carricondo P, Agüera-Vega F, Carvajal-Ramírez F, et al (2018) Assessment of UAV-photogrammetric mapping accuracy based on variation of Ground Control Points. International Journal of Applied Earth Observation and Geoinformation 72:1–10. doi: 10.1016/j.jag.2018.05.015
Tomaštík J, Mokroš M, Surový P, et al (2019) UAV RTK/PPK method—an optimal solution for mapping inaccessible forested areas? Remote Sensing 11:721. doi: 10.3390/rs11060721
European data. The official portal for European data. https://data.europa.eu/en. Accessed 11 Mar 2024
USGS. EarthExplorer. https://earthexplorer.usgs.gov/. Accessed 11 Mar 2024
ČÚZK. Open data of the Czech Land Survey Office. https://ags.cuzk.cz/opendata/. Accessed 11 Mar 2024
Dušánek P, Šíma J (2023) Ověření absolutní polohové přesnosti Ortofota ČR (2021 – 2022) [Verification of absolute positional accuracy - Orthophoto of the Czech Republic (2021 - 2022)]. Geodetický a kartografický obzor. Vol 69/111. Nr. 6.
Metashape. Agisoft Metashape Professional Edition User Manual. https://www.agisoft.com/downloads/user-manuals/ Accessed 11 Mar 2024
Luhmann T, Fraser C, Maas H-G (2016) Sensor modelling and camera calibration for close-range photogrammetry. ISPRS Journal of Photogrammetry and Remote Sensing 115:37–46. doi: 10.1016/j.isprsjprs.2015.10.006
Pacina J, Popelka J, Tobisch M (2016) Extinct settlement identification using small format aerial photography – methods and accuracy. Advances and Trends in Engineering Sciences and Technologies II. doi: 10.1201/9781315393827-137
Pacina J, Cajthaml J, Kratochvílová D, et al (2021) Pre‐Dam Valley Reconstruction based on archival spatial data sources: Methods, accuracy, and 3D printing possibilities. Transactions in GIS 26:385–420. doi: 10.1111/tgis.12854
Rousseeuw PJ (1984) Least median of squares regression. Journal of the American Statistical Association 79:871. doi: 10.2307/2288718
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