GIAP members actively develop new multi-source remote sensing procedures for the accurate identification of archaeological and landscape features at multiple scales of observations. Our expertise ranges from the processing and interpretation of Earth Observation datasets (i.e. satellite imagery and derived products) to the operational design and implementation of UAV flights tailored to our specific research needs.
Our know-how includes practical applications of the following types of remote imaging:
- Historical imagery such as aerial reconnaissance programs and declassified satellite photographs.
- Medium to very-high resolution multispectral satellite imagery and Synthetic Aperture Radar (SAR), including open space programs as well as third-party commercial imagery.
- Development and analysis of Digital Elevation Models using a variety of remote sensing sources.
- Lidar data filtering, treatment and analysis.
- Photogrammetrical workflows.
- Multispectral and thermal imagery in UAV platforms.
- Aerial photography and sub-centimetric UAV-based image acquisition.
We currently focus our remote-based research into two distinct but complementary approaches that share common workflows towards the automation of image processing and data mining:
- Development of multisource, multitemporal analytical methods that employ satellite Big Data in cloud-computing platforms.
- The accurate detection of archaeological sites, features and objects in all types of geospatial imagery using machine learning and deep learning methods.