Multi-temporal images and 3D dense models for archaeological site monitoring in Hierapolis of Phrygia (TK)
- Title
- Multi-temporal images and 3D dense models for archaeological site monitoring in Hierapolis of Phrygia (TK)
- Creator(s)
- Chiabrando, Filiberto
- Sammartano, Giulia
- Spanò, Antonia
- Semeraro, Grazia
- Date
- 2017
- Is Part Of
-
Archeologia e Calcolatori
- Volume
- 28
- Issue
- 2
- Pages
- 469-484
- Language
- eng
- Rights
- CC BY-NC-ND 4.0
- Abstract
- Archaeological site monitoring and updating can nowadays benefit from the contribution of geomatic techniques. In recent times, image-based and range-based measurement systems have become increasingly interesting in excavation processes for monitoring purposes and large scale mapping, both from a terrestrial and aerial point of view. The paper will focus on the great challenge of monitoring sites over time, integrating and conforming multiple data coming from previous metric survey projects and image data collected in the past for different purposes. The test-site was the complex archaeological landscape of the ancient city of Hierapolis in Phrygia on which the MAIER – Italian Archaeological Mission of Hierapolis has operated since the 1960s and where the Politecnico di Torino conducted several survey campaigns. A set of multi-temporal datasets acquired in a series of campaigns in 1997, 2002, 2007, 2012, 2015 are presented, as well as their 3D multi-sensor models; the older dense models generated with archival images are intended to be compared and integrated with newer models generated by the LiDAR scans in 2012 and the UAV systems employed in the last mission in 2015. In particular, the case study was the massive complex of the ancient Bath-Church in the northern part of the city below the Northern Necropolis, and Building A of the Apollo Sanctuary, in the central Sacred Area near the Ancient Theatre. In these sites, many different sensors have been experimented with over the years and preliminary multi-temporal data integration has been tested in order to up-date and improve older archival records based on collected images and related to newer and updated documentation projects.
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