Session: #707

Theme & Session Format

Theme:
3. Heritage Narratives and Representations
Session format:
Regular session

Title & Content

Title:
Open Access Remote Sensing Data in Cultural Heritage Management, Archaeological Research, and Citizen Science
Content:
The increasing availability of open access remote sensing data (airborne LiDAR, aerial and satellite imagery…) has been critical for archaeological research and cultural heritage management by both public and private institutions namely local, regional, and national governments and universities but also in preventive archaeology. In addition, the development of simplified and highly efficient computing algorithms, the increase in computational power and the increasingly systematic use of artificial intelligence (automation vs manual archaeological mapping) have greatly contributed to this panorama. However, what is the real impact of these data on efficiency and effectiveness at the level of mapping and cataloguing of archaeological sites? Has the true potential of this data really been exploited by the public and private sectors for the benefit of cultural heritage and society? What synergies can we create to encourage their increasingly systematic use? What examples and good practices can we learn from? What constraints and threats can there be to cultural heritage?
We would like to discuss the pressing social demand for a new generation of high-resolution open access remote sensing data, and how these data would benefit both scientific research and heritage management. We would also like to discuss the role of crowdsourcing and citizen science in contributing and benefiting from these data. Our goal is to showcase projects and case studies that contribute to the discussion on the potential and impact of open access remote sensing data on archaeological research, cultural heritage management and citizen science and crowdsourcing practices. Finally, we also want to discuss the potential limitations and threats to cultural heritage due to the availability of these data in open access.
Keywords:
Remote Sensing, Open Access, Citizen Science, Artificial Intelligence, Preventive Archaeology
Session associated with MERC:
no
Session associated with CIfA:
yes
Session associated with SAfA:
no
Session associated with CAA:
yes
Session associated with DGUF:
no
Session associated with other:

Organisers

Main organiser:
Rita Dias (Portugal) 1,2
Co-organisers:
João Fonte (Portugal) 3
António Neves (Portugal) 4
Fernando Marsh (Portugal) 4
Jesús García Sánchez (Spain) 5
Affiliations:
1. Era Arqueologia S.A.
2. ICArEHB - Interdisciplinary Center for Archaeology and the Evolution of Human Behaviour
3. Universidade da Maia/ISMAI
4. Universidade de Aveiro
5. Instituto de Arqueologia de Mérida, Consejo Superior de Investigaciones Científicas