Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction

Area of Science:

• Archaeological Science
• Geospatial Analysis
• Digital Heritage

Background:

• Large-scale archaeological projects increasingly integrate prospection and 3D reconstruction for investigation and public dissemination.
• Existing methods for data reconciliation can be complex and lack transparency.

Purpose of the Study:

• To describe and validate a novel method for integrating multispectral imagery, geophysical data, and stratigraphic excavations using 3D semantic visualizations.
• To evaluate the role of 3D semantic visualizations in enhancing the interpretation of archaeological data.
• To ensure transparency and reproducibility in the reconciliation of diverse archaeological data sources.

Main Methods:

• Utilizing multispectral imagery from unmanned aerial vehicles (UAVs).
• Conducting subsurface geophysical surveys.
• Performing stratigraphic excavations.
• Experimentally reconciling data using the Extended Matrix and open-source tools for transparent and reproducible integration.
• Applying the methodology to data from the Tres Tabernae Roman site.

Main Results:

• Demonstration of a validated method for integrating diverse archaeological data through 3D semantic visualization.
• Structured information facilitates access to varied sources for interpretation and hypothesis generation.
• The approach supports the progressive deployment of non-destructive technologies and excavation campaigns.

Conclusions:

• The validated method enhances the interpretation and 3D reconstruction of archaeological sites.
• Ensuring data transparency and reproducibility is crucial for scientific rigor in archaeological investigations.
• The integrated approach facilitates multidisciplinary research and the exploration of complex sites like Tres Tabernae.