3D Geomatics techniques for an integrated approach to cultural heritage knowledge: The case of san michele in acerboli's church in santarcangelo di romagna

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Abstract

The modern Geomatics techniques, such as Terrestrial Laser Scanner (TLS) and multi-view Structure from Motion (SfM), are gaining more and more interest in the Cultural Heritage field. All the data acquired with these technologies could be stored and managed together with other information in a Historical Building Information Model (HBIM). In this paper, it will be shown the case study of the San Michele in Acerboli's church, located in Santarcangelo di Romagna, Italy. This church, dated about the 6th century A.D., represents a high relevant Romanic building of the high Medieval period. The building presents an irregular square plan with a different length of the lateral brick walls and a consequential oblique one in correspondence of the apse. Nevertheless, the different lengths of the lateral brick walls are balanced thanks to the irregular spaces between the windows. Different changes occurred during the centuries, such as the closing of the seven main doors and the building of the bell tower, in the 11th century A.D., which is nowadays the main entrance of the church. An integrated survey was realized, covering the exterior and the interior. The final 3D model represents a valid support not only for documentation, but also to maintain and manage in an integrate approach the available knowledge of this Cultural Heritage site, developing a HBIM system in which all the mentioned historical, geometrical, material matters are collected.

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Bitelli, G., Dellapasqua, M., Girelli, V. A., Sanchini, E., & Tini, M. A. (2017). 3D Geomatics techniques for an integrated approach to cultural heritage knowledge: The case of san michele in acerboli’s church in santarcangelo di romagna. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 42, pp. 291–296). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprs-Archives-XLII-5-W1-291-2017

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