My research is deeply rooted in the use of geophysical methods to study archaeological landscapes and geomorphological features. Geophysics, as a non-invasive means of exploring the Earth’s subsurface, offers unparalleled insights into both natural and human-altered environments without disturbing them.
Satellite remote sensing has become an essential tool in both archaeology and geoscience, offering a bird’s-eye view of the Earth’s surface and providing valuable data that complements ground-based surveys. My research leverages satellite imagery to analyze landscapes, detect changes over time, and assess the impact of natural and human activities on cultural heritage sites.
LiDAR (Light Detection and Ranging) has been a central tool in my research, enabling highly detailed 3D modeling of both archaeological sites and geomorphological features. By emitting laser pulses and measuring the time it takes for them to return from the surface, LiDAR can produce precise elevation models, even in environments with dense vegetation or challenging terrain.
Photogrammetry is a vital tool in my work, allowing for the creation of highly accurate 3D models from a series of 2D photographs. By capturing images from multiple angles and using specialized software to triangulate spatial data, photogrammetry provides detailed and scalable digital reconstructions of archaeological sites, heritage objects, and landscapes.
3D reconstruction using photogrammetry and LiDAR is a cutting-edge approach that allows for the accurate documentation and analysis of heritage sites, archaeological features, and landscapes. By combining high-resolution photographs with advanced LiDAR scanning technology, it is possible to create highly detailed and accurate 3D models of objects, structures, and terrain. Photogrammetry captures fine surface details by processing images from multiple angles, while LiDAR provides precise distance measurements, even in complex or obstructed environments. Together, these technologies offer powerful tools for research, conservation, and public engagement, enabling the creation of immersive virtual experiences and detailed digital archives that preserve cultural heritage for future generations.
Geographic Information Systems (GIS) are a cornerstone of my research, providing powerful tools for spatial analysis and data visualization in both archaeology and geoscience. GIS allows me to integrate, analyze, and map complex datasets, including geophysical surveys, satellite imagery, and topographical data.
My research in archaeology is deeply intertwined with geoarchaeology, a multidisciplinary approach that applies geoscientific techniques to better understand archaeological sites and human-environment interactions. Archaeology focuses on uncovering and interpreting the physical remains of past societies, from artifacts to ancient structures, while geoarchaeology examines the surrounding landscapes, soils, and sediments to reconstruct the environmental context of these sites. Through geoarchaeological methods such as sediment analysis, stratigraphy, and geophysical surveys, I explore how natural processes—like erosion, river migration, or climate change—have shaped both the preservation and location of archaeological sites. This approach allows for a more comprehensive understanding of ancient human activity within its broader environmental framework, offering insights into how past societies adapted to and transformed their landscapes.
Python programming is a key component of my work in geoinformatics, enabling advanced spatial data analysis and automation of geospatial workflows. By leveraging powerful libraries such as GeoPandas, GDAL, Shapely, and Fiona, I can efficiently process and analyze both vector and raster geospatial datasets. Whether it’s performing spatial operations, integrating remote sensing data, or visualizing geographic patterns, Python provides the flexibility to handle complex geospatial challenges. Through custom scripting and automation, I streamline data management, ensuring accurate and scalable results in environmental modeling, archaeology, and heritage site preservation.
