From Crowdsourcing to TLS–BIM/HBIM Workflows for Cultural Heritage Documentation and Structural Assessment: A Review
Elias Christoforou, Theoklitos Klitou, Ourania Douni, Eleni Apostolidou, Nicholas Afxentiou, Nikolaos Schetakis, Georgios Xekalakis, Petros Christou, Alessio Di Iorio, Georgios Stavroulakis, Paris FokaidesThe integration of advanced terrestrial laser scanning (TLS) techniques into building information modelling (BIM) workflows has significantly enhanced the digitization and preservation of cultural heritage sites. In this context, crowdsourcing can operate as a complementary upstream mechanism for enriching heritage inventories, supporting participatory mapping, collecting preliminary condition observations, and prioritizing assets for subsequent expert-led TLS acquisition, HBIM modelling, and structural assessment. This paper explores the application of TLS within BIM for the structural assessment and the long-term monitoring of historic structures. The reviewed studies show how high-resolution TLS data can support the development and updating of geometry-informed structural models, enabling detailed structural assessment and effective management strategies. The reviewed case studies demonstrate the practical benefits of integrating TLS with BIM, such as improved accuracy in structural assessments, enhanced data processing capabilities, and the creation of comprehensive digital twins. These advancements facilitate better-informed decision-making and targeted preventive measures, contributing to the resilience and preservation of cultural heritage assets. The results underscore the contribution of TLS–BIM/HBIM workflows to condition-informed documentation, structural assessment, conservation planning, and long-term heritage management. This research was supported by the ERA4CH project, which aims to protect European cities’ cultural heritage from earthquake risks through innovative monitoring and management tools.