New Collaborative LiDAR Project

The Discovery Programme in partnership with the Remote Sensing Centre, Research Centre of the Slovenian Academy of Sciences and Arts (ZRC SAZU) (https://iaps.zrc-sazu.si/en) and Bias Variance Labs (https://www.bvlabs.ai/) is happy to announce the commencement of a new two year research project funded by Transport Infrastructure Ireland (TII).

The research project aims to develop a user-friendly software tool capable of automatically detecting archaeological features from LiDAR data using machine learning, specifically deep learning algorithms. This will include the development of a ‘trained’ machine learning model that can automatically detect specific classes of earthwork monuments from LiDAR data.

The project will develop a QGIS plugin, that will initially be designed for TII staff. It will subsequently be made more widely available as free and opensource software to provide opportunities for future collaboration and development within the wider archaeological and remote sensing community.

The Discovery Programme will be recruiting a project archaeologist to work on the project in the coming weeks.