4 documents found, page 1 of 1
The Synergy between artificial intelligence, remote sensing, and archaeological...
Canedo, Daniel; Hipólito, João; Fonte, João; Dias, Rita; Pereiro, Tiago do; Georgieva, Petia; Gonçalves-Seco, Luís; Vázquez, Marta; Pires, NelsonThe increasing relevance of remote sensing and artificial intelligence (AI) for archaeological research and cultural heritage management is undeniable. However, there is a critical gap in this field. Many studies conclude with identifying hundreds or even thousands of potential sites, but very few follow through with crucial fieldwork validation to confirm their existence. This research addresses this gap by pr...
Geographic information systems in archaeology: a systematic review
Menéndez-Marsh, Fernando; Al-Rawi, Mohammed; Fonte, João; Dias, Rita; Gonçalves, Luis Jorge; Seco, Luis Gonçalves; Hipólito, João; Machado, José PedroGIS are an essential element in archaeology. Their use has become widespread for their potential to store, reference, analyse and visualise spatial information. Nonetheless, to the best of our knowledge, a systematic review of academic peer-reviewed publications related to the use of GIS, as a framework, in archaeology has never been presented before. Our goal in this work is to identify what has been published...
Uncovering archaeological sites in airborne LiDAR data with data-centric artifi...
Canedo, Daniel; Fonte, João; Seco, Luis Gonçalves; Vázquez, Marta; Dias, Rita; Pereiro, Tiago Do; Hipólito, João; Menéndez-Marsh, FernandoMapping potential archaeological sites using remote sensing and artificial intelligence can be an efficient tool to assist archaeologists during project planning and fieldwork. This paper explores the use of airborne LiDAR data and data-centric artificial intelligence for identifying potential burial mounds. The challenge of exploring the landscape and mapping new archaeological sites, coupled with the difficul...
Uncovering archaeological sites in airborne LiDAR data with data-centric artifi...
Canedo, Daniel; Fonte, João; Seco, Luis Gonçalves; Vázquez, Marta; Dias, Rita; Pereiro, Tiago do; Hipólito, João; Menéndez-Marsh, FernandoMapping potential archaeological sites using remote sensing and artificial intelligence can be an efficient tool to assist archaeologists during project planning and fieldwork. This paper explores the use of airborne LiDAR data and data-centric artificial intelligence for identifying potential burial mounds. The challenge of exploring the landscape and mapping new archaeological sites, coupled with the difficul...