Possibilities of using the mobile device viDOc RTK rover for the real estate cadastre
DOI: https://doi.org/10.3846/gac.2026.24312Abstract
Measuring work using mobile devices is already an established technology in geodetic practice today. Mobile handheld device are mostly used for surveying and 3D rendering of interior spaces. However, the subject of this paper will be the area of real estate cadastre. This paper aims to verify the capabilities of the viDoc RTK rover handheld geodetic device for real estate cadastre purposes. The paper will focus on surveying activities related to preparing a survey sketch to mark a building on a cadastral map. The actual accuracy of the survey and the efficiency of the measurement will be analyzed. The aim will be to verify and analyze the situation on specific data obtained in real terrain during practical measurements. Experimental measurements will be performed on an atypical object. The results obtained using the viDoc RTK rover will be compared with the results of a combined GNSS and terrestrial survey using a total station. For surveying work in the real estate cadastre in the Czech Republic, it is necessary to use the mandatory coordinate reference system S-JTSK.
Keywords:
viDOC RTK rover, building, cadastral map, survey sketch, GNSS-RTK, real estate cadastreHow to Cite
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Copyright (c) 2026 The Author(s). Published by Vilnius Gediminas Technical University.
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References
Annok, G., Tammin, V., & Liba, N. (2021). Mobile laser scanning elevation data accuracy in closed and partially open sky area. Geodesy and Cartography, 47(1), 21–26. https://doi.org/10.3846/gac.2021.12044
Chen, Y., Tang, J., Changhui, J., Zhu, L., Lehtomäki, M., Kaartinen, H., Kaijaluoto, R., Wang, Y., Hyyppä, J., Hyyppä, H., Zhou, H., Pei, L., & Chen, R. (2018). The accuracy comparison of three simultaneous localization and mapping (SLAM)-based indoor mapping technologies. Sensors, 18(10), Article 3228. https://doi.org/10.3390/s18103228
Ghilani, C. D. (2017). Adjustment computations: Spatial data analysis (6th ed.). Wiley. https://doi.org/10.1002/9781119390664
Hofmann-Wellenhof, B., Lichtenegger, H., & Wasle, E. (2008). GNSS – Global Navigation Satellite Systems: GPS, Glonass, Galileo, and more. Springer.
Jiroušek, T., Kapica, R., & Vrublová, D. (2014). The testing of photoscan 3D object modelling software. Geodesy and Cartography, 40(2), 68–74. https://doi.org/10.3846/20296991.2014.930251
Labant, S., & Weiss, G. (2012). Analysis of a simulation of missing satellite observations in the deformation network. Acta Montanistica Slovaca, 17(3), 158–166.
Mikhail, E. M., Bethel, J. S., & McGlone, J. C. (2001). Introduction to modern photogrammetry. Wiley.
Mikoláš, M., Dandoš, R., & Subiková, M. (2013). Measuring shifts base to calibrate test equipment GNSS. Geodesy and Cartography, 39(1), 1–6. https://doi.org/10.3846/20296991.2013.786870
Mudička, Š., & Kapica, R. (2023). Digital heritage, the possibilities of information visualisation through extended reality tools. Heritage, 6(1), 112–131. https://doi.org/10.3390/heritage6010006
Naminat, O., & Palamar, A. (2019). A field surveying on the geodetic control of engineering linear structures using a terrestrial laser scanner. Geodesy and Cartography, 45(2), 49–56. https://doi.org/10.3846/gac.2019.6255
Paijitprapaporn, C., Thongtan, T., & Satirapod, C. (2021). Accuracy assessment of integrated GNSS measurements with LiDAR mobile mapping data in urban environments. Measurement: Sensors, 18, Article 100078. https://doi.org/10.1016/j.measen.2021.100078
Plesník, J., Staňková, H., & Černota, P. (2023). Use of TLS technology in highway construction. Geodesy and Cartography, 49(1), 1–11. https://doi.org/10.3846/gac.2023.15796
Popov, A. (2019). Land cadastre development in Ukraine: Issues to be addressed. Geodesy and Cartography, 45(3), 126–136. https://doi.org/10.3846/gac.2019.7121
Rehak, M., Cucci, D., Magnin, J.-B., & Strecha, C. (2025). Accurate mapping of subterranean structures with mobile phones. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-G-2025, 1269–1275. https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1269-2025
Sammartano, G., & Spanò, A. (2018). Point clouds by SLAM-based mobile mapping systems: accuracy and geometric content validation. Applied Geomatics, 10, 317–339. https://doi.org/10.1007/s12518-018-0221-7
Staňková, H., & Černota, P. (2012). A principle of forming and developing geodetic bases in the Czech Republic. Geodesy and Cartography, 36(3), 103–112. https://doi.org/10.3846/gc.2010.17
Sužiedelytė-Visockienė, J. (2012). Photogrammetry requirements for digital camera calibration applying Tcc and MatLab software. Geodesy and Cartography, 38(3), 106–110. https://doi.org/10.3846/20296991.2012.728895
Sužiedelytė-Visockienė, J., & Bručas, D. (2012). Digital photogrammetry for building measurements and reverseengineering. Geodesy and Cartography, 35(2), 61–65. https://doi.org/10.3846/1392-1541.2009.35.61-65
Zollini, S., & Marconi, L. (2025). Evaluation of positioning accuracy using smartphone RGB and LiDAR sensors with the viDoc RTK rover. Sensors, 25(13), Article 3867. https://doi.org/10.3390/s25133867
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