Session at CAA 2025 Conference

A session entitled as “Advancing Research through Remote Sensing and Artificial Intelligence” was organised during the 52nd International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA) held in Athens, Greece, from 5 to 9 May 2025.

About the session: The use of remote sensing (RS) in documenting and preserving archaeological and cultural heritage (ACH) has gained widespread popularity within the global expert community. It offers a non-destructive approach to efficiently search and map ACH sites at various scales, analyze multiple data sets, and monitor sites and their surroundings (Argyrou & Agapiou, 2022). A growing body of scientific literature showcases numerous successful applications, demonstrating the significant impact of this technology (Agapiou & Lysandrou, 2015). Remote sensing data and products are increasingly integrated into archaeological science and cultural heritage research. Various spatial and spectral analysis datasets are utilized to identify archaeological remains and monitor landscape changes over time. In recent years, archaeologists have begun to utilize automated object detection methods, including machine learning (ML), deep learning (DL) algorithms, convolutional neural networks (CNN), and deep learning models with aerial and satellite images, airborne and spaceborne remote sensing (ASRS), multispectral and hyperspectral images, as well as active methods such as synthetic aperture radar (SAR) and light detection and ranging radar (LiDAR). Researchers are also exploring the potential for archaeologists to use artificial intelligence (AI) techniques to identify and classify archaeological features. The use of satellite data has proved extremely valuable in various archaeological activities, including prospecting, surveying, regional mapping, and assessing site conditions and damages.