New Scientist magazine (Elsevier), has echoed our latest work on the application of deep learning in the study of qanats in arid environments:
The paper, authored by Nazarij Buławka (MSCA postdoctoral researcher), Hèctor A. Orengo (ICREA Research Professor) and Iban Berganzo-Besga (Postdoctoral researcher at Ramsey Lab), is published in the journal “Journal of Archaeological Science”.
Buławka, Nazarij, Hector A. Orengo, and Iban Berganzo-Besga. 2024. ‘Deep Learning-Based Detection of Qanat Underground Water Distribution Systems Using HEXAGON Spy Satellite Imagery’. Journal of Archaeological Science 171:106053
Link to open access paper: https://www.sciencedirect.com/science/article/pii/S0305440324001213
Funded by the European Union (Under The Sands; MSCA-IF-101062705). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
