Michele ABBALLE

Position
Research Grant Holder
E-mail
michele.abballe@unive.it
Website
www.unive.it/people/michele.abballe (personal record)
Office
Department of Humanities
Website: https://www.unive.it/dep.humanities

I am currently a Postdoctoral Research Fellow at Ca' Foscari University of Venice in Environmental Archaeology within the Science, Society and Environmental Change in the First Millennium CE (SSE1K) project, an ERC Consolidator Grant awarded to Prof. Helen Foxhall Forbes (Grant Agreement Number 10104437).
In 2023, I obtained a PhD in Archaeology at Ghent University (BE), within a Joint Programme with the University of Verona (IT), with research on reconstructing the diachronic evolution of the hinterland of Ravenna through geoarchaeological methods. Between 2022 and 2023, I was a Post-graduate research fellow at the Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR) of Italy as European Young Scientist of the ESA-MOST Dragon-5 SARchaeology project, working on remotely sensed data for archaeological mapping, including optical, multispectral and SAR data. Before my PhD, I worked in commercial archaeology for six months (LIMES soc coop), after getting a BA and MA in Archaeology at Bologna University (2011-2017), with research stays at the University of Leicester (UK) and Leiden University (Netherlands).
Currently PI of GEOARCHAMMI (GEOARCHAeological Mapping with VHR Multispectral Imagery) project supported by ESA. Moreover, I am the co-director of the RECLANDS Project and field director of the Faventia Project, which study settlement patterns in the plain north of Ravenna and Faenza (RA, Italy), respectively, with a strong focus on human-environmental interactions in the longue durée. I have also collaborated with several archaeological projects in Italy spanning several regions (Marche, Lazio, Calabria) as a field archaeologist or geoarchaeologist
My main interests are landscape archaeology, geoarchaeology, medieval archaeology, incastellamento, alluvial landscapes, GIS, predictive modelling, geophysics and remote sensing.