Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
3D maps are becoming more and more popular due not only to their accessibility and clarity of reception, but above all, they provide comprehensive spatial information. Three-dimensional cartographic studies meet the accuracy requirements set for traditional 2D stu-dies, and additionally, they naturally connect the place where the phenomenon occurs with its spatial location. Due to the scale of the objects and difficulties in obtaining comprehensive data using only one source, a frequent procedure is to integrate measurement, cartographic, photo-grammetric information and databases in order to generate a comprehensive study in the form of a 3D map. This paper presents the method of acquiring and processing, as well as, integrating data from TLS and UAVs. Clouds of points representing places and objects are the starting point for the implementation of 3D models of buildings and technical objects, as well as for the con-struction of the Digital Terrain Model. However, in order to supplement the spatial information about the object, the geodetic database of the record of the utilities network was integrated with the model. The procedure performed with the use of common georeferencing, based on the global coordinate system, allowed for the generation of a comprehensive basemap in a three-dimensional form.
Wydawca
Czasopismo
Rocznik
Tom
Strony
art. no. e27, 2022
Opis fizyczny
Bibligr. 43 poz., fot., rys.
Twórcy
autor
- University of Agriculture in Krakow, Krakow, Poland
autor
- University of Agriculture in Krakow, Krakow, Poland
autor
- University of Agriculture in Krakow, Krakow, Poland
Bibliografia
- 1. Abdelazeem, M., Elamin. A., Afifi A. et al. (2021). Multisensor point cloud data fusion for precise 3D mapping. Egypt. J. Remote. Sens. Space Sci., 24(3), 835–844. DOI: 10.1016/j.ejrs.2021.06.002.
- 2. Aditya, T., Laksono, D., Susanta, F.F. et al. (2020). Visualization of 3D Survey Data for Strata Titles. ISPRS Int. J. Geo-Inf., 9, 310. DOI: 10.3390/ijgi9050310.
- 3. Aicardi, I., Dabove, P., Lingua, A. et al. (2016). Integration between TLS and UAV photogrammetry techniques for forestry applications. iForest – Biogeosciences and Forestry, 10(1), 41–47.
- 4. Atoyan, V., and German A. (2017). New Technologies in 3D Mapping. Bulletin of Geography, Physical Geography Series, 12, 31–40.
- 5. Bianco, S., Ciocca, G., and Marelli, D. (2018). Evaluating the Performance of Structure from Motion Pipelines. J. Imaging, 4, 98. DOI: 10.3390/jimaging4080098.
- 6. BIP Krakow (2022). Public Information Bulletin of the City of Krakow. Applications for the provision of materials from the County Geodetic and Cartographic Resource: Krakow – city. Retrieved from: https://www.bip.krakow.pl/?dok_id=53246.
- 7. Biljecki, F., Heuvelink, G., Ledoux H. et al. (2018). The effect of acquisition error and level of detail on the accuracy of spatial analyses. Cartogr. Geogr. Inf. Sci, 45, 2, 156–176. DOI: 10.1080/15230406.2017.1279986.
- 8. Bitelli, G., Girelli ,V.A., and Lambertini A. (2018). Integrated use of remote sensed data and numerical cartography for the generation of 3D city models. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII–2, 2018 ISPRS TC II Midterm Symposium “Towards Photogrammetry ”, 4–7 June 2018, Riva del Garda, Italy.
- 9. Bobkowska, K., Szulwic, J., Tysiac P. et al. (2017). GIS threedimensional Modelling with geoinformatics techniques In “Environmental Engineering” 10th International Conference, 27–28 April 2017, Vilnius, Lithuania.
- 10. Chiabrando, F., Sammartano, G., Spanò, A. et al. (2019). Hybrid 3D Models: When Geomatics Innovations Meet Extensive Built Heritage Complexes. ISPRS Int. J. GeoInf., 8, 124. DOI: 10.3390/ijgi8030124.
- 11. Cisło, U. (2008). An outline of a concept for three-dimensional multiresolution topographic database. Archives of Photogrammetry, Cartography and Remote Sensing, 18, 49–57.
- 12. Collado, A., Mora-Navarro, G., Heras, V. et al. (2022). A Web-Based Geoinformation System for Heritage Management and Geovisualisation in Canton Nabon (Ecuador). ISPRS Int. J. GeoInf., 11, 4. DOI: 10.3390/ijgi11010004.
- 13. Drzewiecki, R., and Bujakiewicz, A. (2018). Assessment of accuracy for the building model acquired from a high dense points cloud based on images of different geometry. Archives of Photogrammetry, Cartography and Remote Sensing, 30, 83–93.
- 14. Eremchenko, E., Tikunov, V., Ivanov R. et al. (2015). Digital Earth and Evolution of Cartography. Procedia Comput. Sci., 66, 235–238.
- 15. Goralski, R. (2009). Three-dimensional interactive maps: Theory and practice. PhD thesis, University of Glamorgan.
- 16. Guan, H., Li, J., Zhong, L., Yu, Y. et al. (2013). Process virtualization of large-scale LiDAR data in a cloud computing environment. Comp. Geosci., 60, 109–116. DOI: 10.1016/j.cageo.2013.07.013.
- 17. Haeberling, Ch. (2005). Cartographic design principles for 3D maps – A contribution to cartographic theory. Proceedings of ICA Congress Mapping Approaches into a Changing World.
- 18. Hájek, P., Jedlička, K., and Čada V. (2016). Principles of cartographic design for 3D maps focused on urban areas. In Proceedings, 6th International Conference on Cartography and GIS, 13-17 June 2016, Albena, Bulgaria, 297–307.
- 19. Iheaturu, C.D, Ayodele, E.G., and Okolie C.J. (2020). An assessment of the accuracy of structure-from-motion (SFM) photogrammetry for 3D terrain mapping. Geomatics, Land management and Land-scape, 2, 65–82. DOI: 10.15576/GLL/2020.2.65.
- 20. Jarzyna, A. (2016). Three-dimensional geological map of the Szczerec area near Lviv. Bulletin of the Polish Geological Institute, 466, 103–114.
- 21. Klapa, P., and Mitka B. (2017). Application of terrestrial laser scanning to the development and updating of the base map. Geod. Cartogr., 66 (1), 59–71. DOI: 10.1515/geocart-2017-0002.
- 22. Klapa, P., Mitka, B., and Zygmunt, M. (2017). Study into Point Cloud Geometric Rigidity and Accuracy of TLS Based Identification of Geometric Bodies. In IOP Conference Series Earth and Environmental Science, 95(3), 032008.
- 23. Klapa, P. (2021). Integration and optimisation of geospatial data in the process of generating three-dimensional cartographic materials. Ph.D. Thesis, University of Agriculture in Krakow, Kraków, Poland, 23 March 2021.
- 24. Lari, Z., and El Sheimy, N. (2015). System considerations and challenges in 3D mapping and modeling using low cost UAV systems. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-3/W3, 2015 ISPRS Geospatial Week 2015, 28 Sep – 03 Oct 2015, La Grande Motte, France, 343–348.
- 25. Malinverni, E.S., Pierdicca, R., Bozzi, C.A. et al. (2017). Analysis and Processing of Nadir and Stereo VHR Pleiadés Images for 3D Mapping and Planning the Land of Nineveh Iraqi Kurdistan. Geosci., 7, 80.
- 26. Malumpong, Ch., and Chen, X. (2008). Interoperable three-dimensional GIS city modelling with geoinformatics techniques and 3D modelling software. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2008, XXXVII Part B2.
- 27. Mao, B., Ban, Y., and Laumert, B. (2020). Dynamic Online 3D Visualization Framework for Real Time Energy Simulation Based on 3D Tiles. ISPRS Int. J. Geo-Inf., 9, 166. DOI: 10.3390/ijgi9030166.
- 28. Mazzei, M., and Quaroni, D. (2022). Development of a 3D WebGIS Application for the Visualization of Seismic Risk on Infrastructural Work. ISPRS Int. J. Geo-Inf., 11, 22. DOI: 10.3390/ijgi11010022.
- 29. Medynska-Gulij, B, (2011). Cartography and geovisionization. Warsaw, Poland.
- 30. Mroz, R., Wisniewska, A., and Fijalkowska A. (2014). Converting the digital base map to a three-dimensional form for visualization and spatial analysis of underground devices. Roczniki Geomatyki, XII, 4(66), 417–425.
- 31. National Academies of Sciences, Engineering, and Medicine (1983). Procedures and Standards for a Multipurpose Cadastre. Washington, DC: The National Academies Press. DOI: 10.17226/11803.
- 32. Nex, F., and Remondino F. (2014). UAV for 3D mapping applications: a review. Appl. Geomat., 6, 1–15. DOI: 10.1007/s12518-013-0120-x.
- 33. Nishanbaev, I., Champion, E., and McMeekin, D.A.A. (2021). Web GIS Based Integration of 3D Digital Models with Linked Open Data for Cultural Heritage Exploration. ISPRS Int. J. Geo-Inf., 10, 684. DOI: 10.3390/ijgi10100684.
- 34. Petrovic, D. (2003). Cartographic design in 3D maps, Cartographic Renaissance. In Proceedings of the 21st International Cartographic Conference (ICC), 10–16 August, Durban, South Africa.
- 35. Polish Act: Geodetic and Cartographic Law, Poland (1989).
- 36. Polish Regulation of the Minister of Development of 18 August 2020 on technical standards for the performance of geodetic situational and height measurements as well as the development and transfer of the results of these measurements to the state geodetic and cartographic resource (2020).
- 37. Reiss, M.L.L., Rocha, R.S., Ferraz, R.S. et al. (2016). Data integration acquired from micro UAV and terrestrial laser scanner for the 3D mapping of Jesuit ruins of São Miguel das Missões. The Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., XLI–B5, XXIII ISPRS, 315–321.
- 38. Richter, R., and Dollner, J. (2014). Concepts and techniques for integration, analysis and visualization of massive 3D point clouds. Comput. Environ. Urban Syst., 45, 114–124. DOI: 10.1016/j.compenvurbsys.2013.07.004.
- 39. Roberts, J.C., Butcher, P.W.S., and Ritsos, P.D. (2022). One View Is Not Enough: Review of and Encour-agement for Multiple and Alter-native Representations in 3D and Immersive Visualisation. Comp., 11, 20. DOI: 10.3390/computers11020020.
- 40. Son, S.W., Kim, D.W., Sung, W.G. et al. (2020). Integrating UAV and TLS Approaches for Environmental Management: A Case Study of a Waste Stockpile Area. Remote Sens., 12, 1615. DOI: 10.3390/rs12101615.
- 41. Tao, Y., Michael, G., Muller, J.-P. et al. (2021). Seamless 3D Image Mapping and Mosaicing of Valles Marineris on Mars Using Orbital HRSC Stereo and Panchromatic Images. Remote Sens., 13, 1385. DOI: 10.3390/rs13071385.
- 42. Tong, X., Liu, X., Chen, P. et al. (2015). Integration of UAV Based Photogrammetry and Terrestrial Laser Scanning for the Three-Dimensional Mapping and Monitoring of Open Pit Mine Areas. Remote Sens., 7, 6635–6662. DOI: 10.3390/rs70606635.
- 43. Tully, D., El Rhalibi, A., Carter, Ch. et al. (2015). Hybrid 3D Rendering of Large Map Data for Crisis Management. ISPRS Int. J. Geoinf., 4, 1033–1054. DOI: 10.3390/ijgi4031033.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dea91149-2b3c-4fd9-9b12-c880b89e7149