The cross-disciplinary influence of aerial measurement techniques: Exploring archaeological studies through photogrammetry and LiDAR
DOI:
https://doi.org/10.55779/ng41154Keywords:
aerial measurement techniques, archaeology, LiDAR, photogrammetryAbstract
This research aimed to evaluate the efficacy of contemporary digitization methods for archaeological sites, specifically focusing on aerial approaches. The study is concentrated on the examination of two primary methods: LiDAR sensor and photogrammetry. The chosen case study revolves around the Camp of the V Macedonica Legion, a pivotal feature of the former Roman city now known as Turda, a city in Cluj County, Transylvania, Romania. Through analysis and comparison, the paper revealed that each of these aerial 3D scanning techniques possesses unique strengths, which, when combined, offer a comprehensive approach to archaeological digitization. These complementary attributes must be carefully considered and integrated considering the specific requirements and objectives of the archaeological project at hand when selecting the appropriate method. Furthermore, the research underscores the pivotal role of presenting archaeology in 3D, emphasizing its significant impact on both public and academic audiences. Achieving this presentation necessitates the utilization of specialized software for modelling, rendering, and animating objects of interest, thus enhancing the accessibility and engagement of archaeological findings. The comprehensive findings of this study demonstrate the vast potential offered by aerial 3D scans in the field of archaeology. Moreover, it serves as a potential call for the meticulous selection of the analysis method, recognizing its crucial role as a valuable tool for researchers and archaeologists. By leveraging 3D technologies in their activities, professionals in the field can significantly enhance the accuracy, depth, and accessibility of their archaeological investigations, thereby enriching our understanding of the past.
Metrics
References
Arias F, Enríquez C, Jurado JM (2022). Use of 3D models as a didactic resource in archaeology. A case study analysis. Heritage Science 10:112. https://doi.org/10.1186/s40494-022-00738-x
Asvadi A, Premebida C, Peixoto P, Nunes U (2016). 3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes. Robotics and Autonomous Systems 83:299-311. https://doi.org/10.1016/j.robot.2016.06.007
Cardaci A, Gallina D, Versaci A (2013). Laser scanner 3D per lo studio e la catalogazione dell’archeologia medievale: la chiesa di Santa Croce in Bergamo. Archeologia e Calcolatori 24:209-229. http://eprints.bice.rm.cnr.it/id/eprint/9346
Chandran NK, Sultan MTH, Łukaszewicz A, Shahar FS, Holovatyy A, Giernacki W (2023). Review on type of sensors and detection method of anti-collision system of unmanned aerial vehicle. Sensors 23(15):6810. https://doi.org/10.3390/s23156810
Di Stefano F, Chiappini S, Gorreja A, Balestra M, Pierdicca R (2021). Mobile 3D scan LiDAR: A literature review. Geomatics, Natural Hazards and Risk 12(1):2387-2429. https://doi.org/10.1080/19475705.2021.1964617
Fabbri S, Chiarini V, Ercolani M, Sansavini G, Santagata T, De Waele J (2021). Terrestrial laser scanning, geomorphology and archaeology of a Roman gypsum quarry (Vena del Gesso Romagnola area, Northern Apennines, Italy). Journal of Archaeological Science: Reports 36:102810. https://doi.org/10.1016/j.jasrep.2021.102810
Ghamari M, Rangel P, Mehrubeoglu M, Tewolde G, Sherratt RS (2022). Unmanned aerial vehicle communications for civil applications: a review. IEEE Access 10:22113917. https://doi.org/10.1109/ACCESS.2022.3208571
Gupta SK, Shukla DP (2018). Application of drone for landslide mapping, dimension estimation and its 3D reconstruction. Journal of the Indian Society of Remote Sensing 46:903-914. https://doi.org/10.1007/s12524-017-0727-1
Iheaturu CJ, Ayodele EG, Okolie CJ (2020). An assessment of the accuracy of structure-from-motion (SfM) photogrammetry for 3D terrain mapping. Geomatics, Landmanagement and Landscape 2:65-82. http://dx.doi.org/10.15576/GLL/2020.2.65
Jiménez-Jiménez SI, Ojeda-Bustamante W, Marcial-Pablo MdJ, Enciso J (2021). Digital terrain models generated with low-cost UAV photogrammetry: Methodology and accuracy. ISPRS International Journal of Geo-Information 10(5):285. https://doi.org/10.3390/ijgi10050285
Lambers K, Remondino F (2008). Optical 3D measurement techniques in archaeology: Recent developments and applications. Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology, Berlin, Germany, 2–6 April 2007 pp 27-35.
Lefsky MA, Cohen WB, Parker GG, Harding DJ (2002). Lidar remote sensing for ecosystem studies: Lidar, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately estimate vegetation structural attributes and should be of particular interest to forest, landscape, and global ecologists. BioScience 52(1):19-30. https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
Li Y, Zhao L, Chen Y, Zhang N, Fan H, Zhang Z (2023). 3D LiDAR and multi-technology collaboration for preservation of built heritage in China: A review. International Journal of Applied Earth Observation and Geoinformation 116:103156. https://doi.org/10.1016/j.jag.2022.103156
Lillesand T, Kiefer RW, Chipman J (2015). Remote sensing and image interpretation. John Wiley & Sons, Hoboken, NJ.
Lozić E, Štular B (2021). Documentation of archaeology-specific workflow for airborne LiDAR data processing. Geosciences 11(1):26. https://doi.org/10.3390/geosciences11010026
Marín-Buzón C, Pérez-Romero A, López-Castro JL, Ben Jerbania I, Manzano-Agugliaro F (2021). Photogrammetry as a new scientific tool in archaeology: Worldwide research trends. Sustainability 13(9):5319. https://doi.org/10.3390/su13095319
Mohsan SAH, Khan MA, Noor F, Ullah I, Alsharif MH (2022). Towards the unmanned aerial vehicles (UAVs): A comprehensive review. Drones 6(6):147. https://doi.org/10.3390/drones6060147
Mohsan SAH, Othman NQH, Li Y, Alsharif MH, Khan MA (2023). Unmanned aerial vehicles (UAVs): Practical aspects, applications, open challenges, security issues, and future trends. Intelligent Service Robotics 16(1):109-137. https://doi.org/10.1007/s11370-022-00452-4
Opgenhaffen L (2021). Visualizing archaeologists: A reflexive history of visualization practice in archaeology. Open Archaeology 7(1):353-377. https://doi.org/10.1515/opar-2020-0138
Opitz RS, Cowley DC (2013). Interpreting archaeological topography: Lasers, 3D data, observation, visualisation and applications. Oxbow Books: Oxford, UK.
Pérez ES, Alcalde VA, Álvarez AAA (2023). A quarry for the construction of a Roman camp next to the Celtiberian city of Deza during the Sertorian Wars (Soria, Spain). Archaeological and Anthropological Sciences 15:39. https://doi.org/10.1007/s12520-023-01736-1
Puchalski R, Giernacki W (2022). UAV fault detection methods, state-of-the-art. Drones 6(11):330. https://doi.org/10.3390/drones6110330
Rajarjun Reddy BL, Navya Sri P, Faiz M, Deepanraj B, Ranjitha J (2022). 3D modelling and visualization of buildings using photogrammetry. AIP Conference Proceedings 2463(1):020005. https://doi.org/10.1063/5.0080941
Reutebuch SE, Andersen HE, McGaughey RJ (2005). Light detection and ranging (LIDAR): an emerging tool for multiple resource inventory. Journal of Forestry 103(6):286-292. https://doi.org/10.1093/jof/103.6.286
Rowell J (2023). Semantic Validation in Structure from Motion. arXiv preprint, arXiv:2304.02420. https://doi.org/10.48550/arXiv.2304.02420
Russo M, Remondino F, Guidi G (2011). Principali tecniche e strumenti per il rilievo tridimensionale in ambito archeologico. Archeologia e Calcolatori 22:169-198. http://eprints.bice.rm.cnr.it/id/eprint/4242
Telli K, Kraa O, Himeur Y, Ouamane A, Boumehraz M, Atalla S, Mansoor W (2023). A comprehensive review of recent research trends on unmanned aerial vehicles (UAVs). Systems 11(8):400. https://doi.org/10.3390/systems11080400
Vierling KT, Vierling LA, Gould WA, Martinuzzi S, Clawges RM (2008). Lidar: shedding new light on habitat characterization and modeling. Frontiers in Ecology and the Environment 6(2):90-98. https://doi.org/10.1890/070001
Waagen J (2019). New technology and archaeological practice. Improving the primary archaeological recording process in excavation by means of UAS photogrammetry. Journal of Archaeological Science 101:11-20. https://doi.org/10.1016/j.jas.2018.10.011
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Maria FILIP-GHERMAN, Simion BRUMA, Cătălin SABOU, Mircea NAP, Elemer-Emanuel SUBA, Tudor SĂLĂGEAN
This work is licensed under a Creative Commons Attribution 4.0 International License.
Distribution - Permissions - Copyright
Papers published in Nova Geodesia are Open-Access, distributed under the terms and conditions of the Creative Commons Attribution License.
© Articles by the authors; licensee SMTCT, Cluj-Napoca, Romania. The journal allows the author(s) to hold the copyright/to retain publishing rights without restriction.
License:
Open Access Journal - the journal offers free, immediate, and unrestricted access to peer-reviewed research and scholarly work, due to SMTCT support to increase the visibility, accessibility, and reputation of the researchers, regardless of geography and their budgets. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or the author.
