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Collecting Spatial Data with Unmanned Aerial Vehicle

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Warianty tytułu
PL
Zbieranie danych przestrzennych za pomocą bezzałogowego statku powietrznego
Języki publikacji
EN
Abstrakty
EN
The paper briefly discusses the nature and advantages of unmanned aerial vehicle (UAV) as a spatial data acquisition method. This method and its possibilities are subject of scientific research in the area of geodesy, cadaster, architecture, construction of infrastructure objects and facilities, agricultural activities, cultural and historical heritage and even more over the last decades. This publication discusses in short, the principles and possibilities for creating a three-dimensional data model using the advantages of unmanned aerial vehicle. The building of University of Architecture, civil engineering and geodesy, situated in Semkovo resort, Blagoevgrad district is selected for the purpose of the task. Classical land surveying measurements with a total station and the data collected with an unmanned aerial vehicle are used for the creation of the three-dimensional model. A comparison and evaluation of the obtained model is made. The result of this evaluation indicates that the technology of unmanned aerial vehicle is efficient for representation of high-quality data with a wide scope of advantages such as high range, fast data collecting and processing.
Rocznik
Strony
237--245
Opis fizyczny
Bibliogr. 10 poiz., rys., tab., zdj.
Twórcy
  • Dept. “Geodesy and Geoinformatics”, University of Architecture, Civil Engineering and Geodesy (UACEG), 1 H. Smirnenski Blvd., Sofia 1046, Bulgaria
  • Dept. “Geodesy and Geoinformatics”, University of Architecture, Civil Engineering and Geodesy (UACEG), 1 H. Smirnenski Blvd., Sofia 1046, Bulgaria
  • Dept. “Geodesy and Geoinformatics”, University of Architecture, Civil Engineering and Geodesy (UACEG), 1 H. Smirnenski Blvd., Sofia 1046, Bulgaria
Bibliografia
  • 1. R. Ivanov, “Engineering Surveying And Deformation Surveys”, ISBN 978-954-12-0272-2, Monograph, Sofia, 2020.
  • 2. G. Antova, “SIMbioza ot tochki”, ISBN 978-954-724-142-8, UASG, 2022.
  • 3. F. Remondino, L. Barazzetti, F. Nex and M. Scaioni, “UAV photogrammetry for mapping and 3d modeling – current status and future perspectives”, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-1/C22, 2011, pp. 25-31.
  • 4. Iv. Hristozova and Iv. Kalchev, “Analiz i otsenka na prilozhimostta na vazdushnoto bezpilotno zasnemane v geodeziyata i kadastara,”, ISSN 0324-1610, Geodezia, kartografia, zemeustroystvo 1–2, 2016, pp. 26-33
  • 5. Agisoft Metashape User Manual Professional Edition, Version 1.7 - https://www.agisoft.com/pdf/metashape-pro_1_7_en.pdf
  • 6. G. Antova, Iv. Kunchev and C. Mickrenska-Cherneva, “Point clouds in BIM”, Multidisciplinary Earth Sciences Symposium (WMESS 2016), IOP Conference Series: Earth and Environmental Science, 44 (2016) 042034, https://doi.org/10.1088/1755-1315/44/4/042034\.
  • 7. M. M. Apeh and A. A. Rahman, “A review of 3D spatial data models for surface and subsurface integration of spatial object”, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-4/W6-2022 Geoinformation Week 2022 “Broadening Geospatial Science and Technology”, 14–17 November 2022, Johor Bahru, Malaysia (online), pp. 15-23, https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-15-2023
  • 8. D. Nedqlkov, “Experimental Study of Possibilities for Developing a Building Information Model of a Laser-Scanned Physical Object”, IOP Conf. Ser.: Earth Environ. Sci. 906 012051, 2021 https://iopscience.iop.org/article/10.1088/1755-1315/906/1/012051.
  • 9. P. Pavlov, “GIS – application in the development and management of large settlements”, ISSN 0324-1610 – XXXIX, Geodesy, cartography and land management journal., Vol. 4, 1999, pp. 16-20.
  • 10. T. Ilieva, “Analysis and GIS-based modeling of free and open data for tracking the dynamics of the urban environment: Case study for Sofia, Bulgaria”, Proceedings of 22nd International Multidisciplinary Scientific GeoConference SGEM, 8. Geoinformatics, 2022 (in print).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ceea2fd8-2cf8-486e-8e3c-6475bc9effdf
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