Integrating thermal and optical models with legacy excavation data for spatial inventories

Abstract

Researching at previously excavated archaeological sites comes with its own challenge set, which includes ground-truthing previously unearthed architectural features to correlate old and new trenches. This study presents a comprehensive examination technique to approach architectural features at mound-type archaeological settlements through the synergistic utilization of thermal and optical imagery obtained via remote sensing technologies. Employing an interdisciplinary approach involving various types of imagery (optical, thermal, and radar) embedded in archaeological data, this research aims to reevaluate legacy spatial data and enhance the understanding of subsurface archaeological features by exploiting the complementary advantages of both thermal and optical sensors.

This study involves the acquisition, processing, and integration of Unmanned Aerial Vehicle (UAV)-based thermal and optical datasets to derive a complete representation of archaeological landscapes. Ground-truthing and validation exercises are incorporated to ensure the accuracy and reliability of the results. The results contribute to advancing the field of archaeological remote sensing and highlight the significance of integrating diverse sensing modalities for a comprehensive and nuanced interpretation of archaeological landscapes. The techniques exemplified with two mound-type case sites help to generate high-resolution mappings which provide tools to increase the accuracy of on-site legacy data and help digital protection of the sites by generating digital twins. This presents a less costly method than conventional photogrammetric techniques, making it feasible and advantageous for field archaeologists or researchers dealing with legacy spatial data.