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Datafication of an Ancient Greek City: Multi-sensorial Remote Sensing of Heloros (Sicily)

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Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges (ICPR 2022)

Abstract

As 3D tools become increasingly used in archaeology and cultural heritage management, best practices are continuously developing to mediate their adoption. As part of an effort to revalorize the archaeological site of Heloros in southeastern Sicily, the authors have applied the concept of datafication to heuristically plan the approaches and objectives for its digitization. The process of datafication, i.e. the creation of new data through layered collection of natively digital and digitized legacy data, guided the collection of digital data aimed to consolidate archaeological and landscape data for the purposes of virtual reconstruction and planning of future interventions. The process of datafication, used here for the first time in a Mediterranean context led to the discovery of unpublished information about the previously excavated site of Heloros. Three-dimensional data were captured using terrestrial laser scanning, aerial and handheld photogrammetry, and integrated into a Geographic Information System to investigate and record the ancient Greek city of Heloros and individual elements of the site. Digitized legacy data were compared with the natively digital data of the site collected in 2021 and used to create a Digital Terrain Model. Bespoke GIS visualizations techniques were applied to identify as series of anomalies that were compared with legacy data. The preliminary results of this research led to the verification of hypotheses about the fortification system, previous excavation trenches, and the identification of possible further fortifications and unpublished use-phases of the site.

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Tanasi, D. et al. (2023). Datafication of an Ancient Greek City: Multi-sensorial Remote Sensing of Heloros (Sicily). In: Rousseau, JJ., Kapralos, B. (eds) Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. ICPR 2022. Lecture Notes in Computer Science, vol 13645. Springer, Cham. https://doi.org/10.1007/978-3-031-37731-0_11

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  • DOI: https://doi.org/10.1007/978-3-031-37731-0_11

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