The digitalisation of Non-Destructive Testing (NDT) data is critical for the preservation of heritage assets. This paper presents the technical development of a digital demonstrator for the British Academy-funded project, BLUE-HeArTS (BLUE Heritage through Art, Technology, and Science), which connects scientific monitoring with artistic narratives.
This study focuses on the Reculver Towers in Kent, UK, a heritage site highly vulnerable to coastal erosion. A 3D Unity model was engineered, integrating high-resolution laser scans of the towers with surface-related remote-sensing data such as Normalized Difference Vegetation Index and Land Surface Temperature maps.
Additionally, the model also incorporates topographically corrected Ground-Penetrating Radar (GPR) radargrams to visualise the structural integrity of sea defence areas 1. By digitalising these datasets, the system allows for a holistic assessment of climate-driven risks 2, 3.
Technical viability was evaluated using established geospatial extended reality metrics 4. This formed the basis for frame-rate profiling and processing unit utilisation across different hardware configurations to measure efficiency while preventing motion sickness4.
Initial results demonstrate that integrating dense GPR and hyperspectral data offers a novel diagnostic tool, though rendering complexity remains a primary bottleneck, underscoring the need for optimisation in heritage conservation digitisation workflows.
Acknowledgements
The authors would like to acknowledge the project BLUE-HeArTS (January – September 2026), funded by the British Academy under the "Pump Priming Collaboration between UK and EU Partners 2026" programme (Award Reference: PPHE26\100311). This research was supported by the Vice-Chancellor’s PhD Scholarship at the University of West London.
References
[1] N. Linford, Historic England 2020.
[2] A. Ghani, 2024.
[3] F. Tosti, I. Catapano, A. M. Ghani, D. Daou, S. D'Amico, A. Lastorina, N. Linford, M. Naeini , T. Tessema, 2026.
[4] E. Atsakpo, F. Mercogliano, S. Uzor, P. Saadati, A. Barone, F. Accomando, R. Castaldo, I. Catapano, P. Tizzani , F. Tosti, 2025.
