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Computational approaches to archaeological site detection and monitoring

A workshop that was held at the
McDonald Institute for Archaeological Research, University of Cambridge
| Saturday 29th February 2020 |

Thanks to all the speakers and attendees for making this a great meeting!

A series of invited talks showcased distinct computational workflows for site detection, thus integrating into a single conceptual framework methods and techniques such as historical archives, survey, predictive site modelling, geophysics, object and pixel-based remote sensing, site monitoring and crowdsourcing.


The programme can be downloaded here
The abstract booklet can be downloaded here


Extracting archaeologically-relevant information from imagery in manual and (semi-)automated ways
Geert Verhoeven, Ludwig Boltzmann Institute for Archaeological Prospection and Virtual Archaeology

Potentials of earth observation virtual constellations and big data: moving beyond current archaeological prospection practices
Athos Agapiou, Cyprus University of Technology

Seeing the patterns that persist in time – using multitemporal classification of multispectral images for archaeological prospection
Bjoern Menze, Technical University of Munich, and Jason Ur, Harvard University

3D Shape, Visual Perception, Recognizing ‘Archaeology’, and creating Learning Sets for Archaeological Lidar Studies
Rachel Opitz, University of Glasgow
(with Dave Cowley)

Uncovering the archaeological landscape of the Veluwe, central Netherlands, through remote sensing, deep learning and citizen science
Karsten Lambers, University of Leiden
(with Quentin Bourgeois, Wouter Verschoof-van der Vaart, Eva Kaptijn and Alex Brandsen)

Streamlining and automating: developing approaches to archaeological survey in a national heritage agency
Dave Cowley, Historic Environment Scotland
(with Lukasz Banaszek, George Geddes, Iris Kramer and Rachel Opitz)

Protecting the heritage of the Middle East and North Africa using remote sensing
Louise Rayne, University of Leicester
(with David Mattingly, Bob Bewley, Andrew Wilson and Graham Philip)

Computational landscape archaeology in South Asia: integrated approaches for the remote detection of archaeological features
Arnau Garcia-Molsosa, Catalan Institute of Classical Archaeology, and Francesc C. Conesa, University of Cambridge
(with Hector A. Orengo, Adam Green, Agustin Lobo and Cameron Petrie)

Untangling uncertainty: building robust archaeological datasets through geophysical methods
Philippe De Smedt, Ghent University

Predict, detect, evaluate, repeat. Towards developing a shared knowledge system for (automated) detection of archaeological remains.
Philip Verhagen, Vrije Universiteit Amsterdam



Arnau Garcia-Molsosa, McDonald Institute for Archaeological Research |
Hector A. Orengo, Catalan Institute of Classical Archaeology |
Francesc C. Conesa, McDonald Institute for Archaeological Research |
Cameron Petrie, McDonald Institute for Archaeological Research |

Follow us on Twitter: @ArnauMaps | @hector_orengo | @fc_conesa


Seminar Room
McDonald Institute for Archaeological Research
Department of Archaeology
University of Cambridge
Downing Street
CB2 3DZ Cambridge
Tel: 01223 333538


The workshop was funded by the following Marie Skłodowska-Curie Actions:
MarginScapes (MSCA-IF-EF-ST, n. 794711)
WaMStrIn (MSCA-IF-EF-ST, n.74644)
and had the support of the TwoRains project (ERC-CoG-2014, n. 648609),
the McDonald Institute for Archaeological Research,
and the Department of Archaeology, University of Cambridge