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A geographycal information system to support restoration activities: a methodological approach experienced upon the case study of Ascoli Satriano Fortress

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Abstract

This paper deals with the development of a geographic information system (GIS), specifically designed for the restoration process of Ascoli Satriano Fortress (an important example of military architecture in the south of Italy), using as entry data its 3D modelling obtained with a standard multi-view stereo (MVS) pipeline. The work described has been developed following a methodological approach, highlighting best practices for the management of different information and the creation of specific thematic maps, demonstrating how a close cooperation between restorers and geomatics experts can be the turnkey for the conservation process of the architectural heritage. In this research, the GIS implementation proposed for the cataloguing and the management of historical buildings serves to define the abacus of the materials and the decay analysis performed by restorers The aim is to create a link between the survey’s output and both quantitative/descriptive information, useful for managing the restoration process in all the steps of the work. The management of an historical building into an integrated system enables all the actors involved in the process to be as much faithful as possible with the real building features.

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Notes

  1. http://www.cadstudio.cz/georefimg

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Authors and Affiliations

  1. Department of Construction, Civil Engineering and Architecture, Università Politecnica delle Marche, Via Brecce Bianche 12, 60131, Ancona, Italy

    Eva Savina Malinverni, Roberto Pierdicca, Andrea Giuliano & Fabio Mariano

Authors
  1. Eva Savina Malinverni
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  2. Roberto Pierdicca
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  3. Andrea Giuliano
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  4. Fabio Mariano
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Correspondence to Eva Savina Malinverni.

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Malinverni, E.S., Pierdicca, R., Giuliano, A. et al. A geographycal information system to support restoration activities: a methodological approach experienced upon the case study of Ascoli Satriano Fortress. Appl Geomat 10, 427–439 (2018). https://doi.org/10.1007/s12518-018-0216-4

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  • DOI: https://doi.org/10.1007/s12518-018-0216-4

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