Assessing the impacts of urbanisation on heritage sites in the Lefakat Region (South Benghazi, Libya): Results of a new remote sensing method and fieldwork

Abstract Between 2023 and 2024, the Endangered Archaeology in the Middle East and North Africa (EAMENA) project and the Libyan Department of Antiquities (DoA) collaborated to apply the newly-developed EAMENA Machine Learning Automated Change Detection (MLACD) method to a series of case studies across Libya. The first of these case studies concerns the region of Lefakat, south of Benghazi, which is facing rapid urbanization, placing heritage sites under immediate threat. An initial desk-based assessment was conducted to identify archaeological sites and apply the MLACD method. Following the remote sensing analyses, a team of Libyan archaeologists from the DoA conducted fieldwork to verify and validate the results. The work involved archaeological and condition assessments of the sites. The remote sensing and fieldwork survey documented 30 archaeological sites, primarily dating from the Roman period, recording new information about these sites. The threats affecting them related primarily to urbanization and vegetation growth, looting and rubbish dumping. The approach highlighted in this article combines advanced remote sensing technologies with fieldwork validation, providing a robust framework for monitoring and safeguarding archaeological sites.