SILVA, Irineu da a SEGANTINE, Paulo Cesar Lima. Geomatics applied to civil engineering. Second edition. Cham, Switzerland: Springer, [2025]. ISBN 978-3-031-75736-5.
GRUBESIC, Tony H. a NELSON, Jake R. UAVs and urban spatial analysis: an introduction. Cham, Switzerland: Springer, [2020]. ISBN 978-3-030-35864-8.
TYCHOLA, Kyriaki A., Eleni VROCHIDOU a George A. PAPAKOSTAS. Deep learning based computer vision under the prism of 3D point clouds: a systematic review. The Visual Computer. 2024, 40, 8287–8329. DOI 10.1007/s00371-023-03237-7.
IOANNIDES, Marinos a Petros PATIAS (eds.). 3D Research Challenges in Cultural Heritage III: Complexity and Quality in Digitisation [online]. Cham: Springer, 2023. ISBN 978-3-031-35592-9 . DOI 10.1007/978-3-031-35593-6. Dostupné z: https://link.springer.com/book/10.1007/978-3-031-35593-6 [cit. 2026-08-21].
Modelling and Data Interpretation
| Language of instruction | angličtina, čeština |
|---|---|
| Code | 544-0170 |
| Abbreviation | MID |
| Course title | Modelling and Data Interpretation |
| Coordinating department | Department of Geodesy and Mine Surveying |
| Course coordinator | doc. Ing. Roman Kapica, Ph.D. |
Summary
Professional knowledge of the fundamental principles, characteristics, and applications of geodetic, photogrammetric, laser-based, and mobile technologies for spatial data acquisition. Professional knowledge and understanding of the principles of terrestrial laser scanning, LiDAR, SLAM, and mobile laser scanning, including the fundamentals of point-cloud classification, data formats, and spatial data workflows. Professional skills in comparing individual technologies, assessing their advantages and limitations, selecting an appropriate technology for a specific task, and performing basic operations with spatial data and their formats. General competences to independently assess the suitability of different technologies for spatial data acquisition, their integration, and to perform basic interpretation of the resulting data using current methods of automated processing and artificial intelligence.
Literature
Advised literature
SCHIEWE, Jochen. Cartography: Visualization of Geospatial Data. Springer Textbooks in Earth Sciences, Geography and Environment. Cham: Springer, 2025. ISBN 978-3-031-83022-8.
MAUNE, David F. a Amar NAYEGANDHI (eds.). Digital Elevation Model Technologies and Applications: The DEM Users Manual. 3rd ed. Bethesda, MD: American Society for Photogrammetry and Remote Sensing, 2018. ISBN 978-1-57083-102-7.
BEIL, Christof a Thomas H. KOLBE. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead. ISPRS International Journal of Geo-Information. 2024, 13(10), 363. DOI 10.3390/ijgi13100363.
ABREU, Nuno, Andry PINTO, Aníbal MATOS a Miguel PIRES. Procedural Point Cloud Modelling in Scan-to-BIM and Scan-vs-BIM Applications: A Review. ISPRS International Journal of Geo-Information. 2023, 12(7), 260. DOI 10.3390/ijgi12070260.
MAUNE, David F. a Amar NAYEGANDHI (eds.). Digital Elevation Model Technologies and Applications: The DEM Users Manual. 3rd ed. Bethesda, MD: American Society for Photogrammetry and Remote Sensing, 2018. ISBN 978-1-57083-102-7.
BEIL, Christof a Thomas H. KOLBE. Applications for Semantic 3D Streetspace Models and Their Requirements—A Review and Look at the Road Ahead. ISPRS International Journal of Geo-Information. 2024, 13(10), 363. DOI 10.3390/ijgi13100363.
ABREU, Nuno, Andry PINTO, Aníbal MATOS a Miguel PIRES. Procedural Point Cloud Modelling in Scan-to-BIM and Scan-vs-BIM Applications: A Review. ISPRS International Journal of Geo-Information. 2023, 12(7), 260. DOI 10.3390/ijgi12070260.