4.7 Article

Synergy of Geospatial Data from TLS and UAV for Heritage Building Information Modeling (HBIM)

Journal

REMOTE SENSING
Volume 15, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/rs15010128

Keywords

point cloud; preservation of monument; BIM; date integration; 3D modeling; LOD

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Building Information Modeling (BIM) is becoming more widely used for creating models of newly constructed facilities. However, creating high-quality BIM models for existing objects, especially Cultural Heritage (CH), depends on the quality of the data used for modeling. This article explores the use of spatial data combined with Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle (UAV) data to create BIM models for CH objects. The study emphasizes the importance of accurate measurement information and integration of different data groups in developing the HBIM model.
Currently, Building Information Modeling (BIM) is increasingly entering the operational level in terms of creating a model for newly constructed facilities. For existing objects, and objects of Culture Heritage (CH), the creation of coherent and qualitative BIM models depends on the quality of the data constituting the basis for modelling. What's more, BIM of CH is not only a challenge to obtain high-quality three-dimensional data, but also a time-consuming study of object documentation and photographic documentation in order to create a faithful library of parametric objects. In the article, the authors presented the synergy of spatial data with TLS and UAV as the basis for creating a BIM model for two CH objects. The aim of the article was to make such a synergy of TLS and UAV data that the geospatial database, developed for the needs of modelling historic objects in the HBIM trend, would have a specific amount of information without the frequently used redundancy. In principle, the acquired 3D database should be expressed in a global reference system with the degree of georeferencing accuracy for situational and altitude measurements and should be consistent to provide comprehensive information about the object. The analyses led to conclusions in which the authors assign superior importance to the accuracy of measurement information and the integration of individual data groups in the process of developing the HBIM model with the desired accuracy in opposition to the appropriate selection of the level of detail, which is usually assigned a superior role, which in turn results from the quality of the data geospatial modelling.

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