Condition Assessment of Heritage Buildings via Photogrammetry

A Scoping Review from the Perspective of Decision Makers

Bibliographic Data

ID16966735
AuthorsMariella De Fino (0000-0002-2675-704X, Polytechnic University of Bari, corresponding author), Rosella Alessia Galantucci (0000-0002-2742-1492, Polytechnic University of Bari), Fabio Fatiguso (0000-0003-4584-3776, Polytechnic University of Bari)
Year2023
Volume6
Issue11
Pages7031-7067
Publication date2023-10-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHeritage (JOURNAL)
Journal identifiersISSN: 2571-9408 • E-ISSN: 2571-9408
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/heritage6110367
OpenAlexW4388017625
LanguageEN
Citations received11
References cited138

In recent years, advanced digital technologies have driven an outstanding paradigm shift in the field of architectural heritage, particularly for building modelling, historical documentation and touristic promotion. Nonetheless, they show great potentialities in the field of assessment and control of the state of conservation of heritage buildings. In particular, close-range and aerial photogrammetry have increasingly relied on low-cost and user-friendly tools and procedures, with a high degree of automation that makes them accessible to specialists who are foremost involved in architectural diagnosis and conservation, rather than in remote sensing sciences. In this framework, this paper provides a scoping review of 117 publications, based on the PRISMA protocol, from Scopus and Web of Science databases, related to the employment of photogrammetric models and methods, with specific focus on the targets and purposes of the diagnostic process, including decay mapping, structural monitoring and modelling, non-destructive investigation and multi-source documentation. In detail, the results point out that current studies mainly support robust processing of large amounts of information from direct observation of surface alterations, systematic correlation between materials, construction characteristics, visible anomalies and experimental measurements, as well as multi-disciplinary collaborative workflows through remote inspection and harmonized data management. Further improvements were identified, including standardization of acquisition procedures, automatization of elaboration pipelines, integration of real-time data, validation of diagnosis decision-making support tools and scalability to networks of assets

Construction engineering · Cultural heritage · Data science · Database · Documentation · Geography · Photogrammetry · Standardization · Systems engineering · Workflow · 3D Surveying and Cultural Heritage · Computer Science · Conservation Techniques and Studies · Engineering · Remote Sensing and LiDAR Applications · Artificial Intelligence

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