Learning Outcomes

Fieldwork & Digital Capture

• Drone photogrammetry in archaeological sites: flight planning, overlap parameters, GCP placement, and zenithal/oblique capture.
• GNSS point collection: high-precision positioning of architectural features and spatial survey coordinates.
• Ground-truthing spatial anomalies: field verification of potential structures detected via LiDAR and satellite imagery.
• Stratigraphic and structural analysis of medieval settlements, Romanesque temples, castles, and rock-cut necropolises (10th–14th centuries).
• Archaeological site condition reporting: cataloging state of conservation, accessibility, and spatial extent.

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Laboratory, GIS & AI Data Processing

• QGIS and ArcGIS spatial analysis: projection configuration, historical layer georeferencing, vector editing, and project data management.
• LiDAR data handling: generating Digital Elevation Models (DEM), Hillshade visualizations, Slope gradient maps, and multi-directional relief visualizations.
• 3D photogrammetric processing: point cloud densification, mesh generation, and texture mapping to export orthophotos and 3D elevation models.
• Artificial intelligence applied to archaeology: prompt engineering with Claude AI to structure field notes, synthesize archival documentary sources, and cross-reference site databases.
• Technical report production: compilation of geospatial deliverables, architectural plans, and analytical conclusions for survey and excavation project designs.