This research demonstrates a multiscale web-based framework enhancing heritage management in challenging settings, indicating a new direction for conservation practices.
Key Points
The research aims to develop a web-based framework that supports decision-making and conservation for low-accessible cultural heritage.
Conducted a preliminary knowledge and data structuring phase.
Performed a comprehensive digital survey of hypogeal sites.
Developed integrated digital models for heritage sites.
Applied advanced diagnosis and monitoring techniques using range-based point clouds and algorithms.
Validated the methodology on the San Pellegrino complex.
Identified extensive decay patterns using point clouds at the site scale.
Quantified material loss on frescoed surfaces through a random forest algorithm.
Showed how digital environments can enhance knowledge sharing in heritage management.