Due to high demand earlier this year, we are rerunning our in person CPD on the Discovery Programme / TII ALS Machine Learning Project! This will be a half-day in-person CPD and will take place in Merchants Quay, Dublin on Wednesday November 27th from 2-4.30pm. This CPD provides an opportunity to use the newly released Machine Learning tool (via Jupyter Notebook) and to learn how to further develop the tool for your own purposes. The half-day programme will provide an introduction to the project and the development of the model before guided practical sessions in how to use and retrain the MLM. Full details of this CPD are outlined below, and participants will be asked to bring their own laptops and download software in advance of the session. Places are very limited for this CPD, so if you would like to participate, please contact Niamh at [email protected] to book your spot.
Short Summary:
Airborne laser scanning (ALS) and other remote sensing prospection techniques are significant in the context of archaeological site identification, research, management, and mitigation strategies; particularly in relation to landscape-scale research projects and development. As part of a European-wide interdisciplinary team comprising experts from archaeology, remote sensing, earth sciences, and machine learning, the Discovery Programme has been engaged in the TII (Transport Infrastructure Ireland) ALS Machine Learning Research Project which aims to develop a user-friendly software tool capable of automatically detecting archaeological features. This includes the development of a ‘trained’ machine learning model that can automatically detect three classes of archaeological earthwork monuments from ALS data (barrows, ringforts, enclosures). The software tool is initially being designed for TII staff and archaeological consultants appointed to TII projects with it subsequently being made more widely available as free and opensource software to provide opportunities for future collaboration and development.