LandArchIE: FAIR and AI-ready landscape archaeology data for Ireland

LandArchIE (FAIR and AI-ready landscape archaeology data for Ireland) will create the first harmonised, semantically enriched, and AI-ready datasets for large-scale analysis of Ireland’s prehistoric and early medieval earthwork monuments, including ringforts, barrows, and enclosures. By integrating high-resolution lidar point clouds with Sentinel-1 and Sentinel-2 imagery, the project will generate multi-modal resources for automated archaeological interpretation. Over 10,000 validated monument annotations will be processed into segmented raster patches, bounding-box labels, and semantic metadata, structured into reproducible train/validation/test sets for machine learning. Outputs include 0.5 m Digital Terrain and Feature Models, archaeological visualisations, and a benchmark corpus. Metadata will follow DCAT-AP, PROV-O, and CIDOC-CRM standards, ensuring FAIR compliance and integration with the European Collaborative Cloud for Cultural Heritage. LandArchIE bridges archaeology, AI, and cultural heritage infrastructures, advancing open cultural data and enabling sustainable, interoperable digital heritage research.