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3D GIS for Cultural Heritage Restoration : a 'white box' workflow

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Author

Summary, in English

Structures of Architectural Heritage are constantly exposed to natural and human-made threats that can compromise their cultural and artistic values. This is the case of the Roman city of Pompeii, whose preserving conditions nowadays are so critical to let a group of Unesco-appointed experts consider the possible inscription of the property on the list of “World Heritage in Danger”. In this respect improving the effectiveness of preservation strategies becomes a crucial task. A great contribution in this direction is given by the combination of digital technologies such as Laser Scanning, photogrammetry and computer vision-based techniques and 3D Geographic Information systems (3DGIS), whose integrated use could exponentially increase the effectiveness of conservation strategies of ancient buildings. This paper presents the results of a research developed as part of the Swedish Pompeii Project, a fieldwork initiated from the Swedish Institute in Rome in 2000. Main objectives of this research were (i) to develop a set of integrated digital methods to be extensively adopted by conservation specialists in the practice of preservation management; (ii) to deal with several aspects connected to the preservation of an ancient structure in a ‘fully-3D’ environment; (iii) to take advantage of GIS analytic tools for investigating architectural structures in three-dimensions.

Publishing year

2015

Language

English

Pages

321-332

Publication/Series

Journal of Cultural Heritage

Volume

18

Document type

Journal article

Publisher

Elsevier

Topic

  • Classical Archaeology and Ancient History

Keywords

  • 3D GIS
  • Digital Conservation
  • Classical Archaeology
  • Digital documentation

Status

Published

Project

  • Pompeii - a 3D Revival
  • 3D GIS: a Research Platform for the Development of New Research Methodologies for the Documentation and Analysis of Archaeological Sites.

Research group

  • Digital Archaeology Laboratory DARK Lab

ISBN/ISSN/Other

  • ISSN: 1778-3674