bilnas.org
Scaling up Heritage Monitoring in Libya: Fieldwork, Remote Sensing, and Training – with Ahmed Mahmoud, Muftah Alhaddad and Ahmed Buzaian
Archaeological sites worldwide face growing threats, increasing pressure on heritage managers to monitor and protect them, especially in remote areas. This talk presents the EAMENA Machine Learning Automated Change Detection (MLACD) tool, which uses satellite imagery and machine learning to detect disturbances near known sites. Results were validated through four field surveys by Libyan Department