Detecting Agro-Pastoral Abandonment: A Sentinel-2 Multi-Temporal Phenology Approach for Sub-Mediterranean Landscapes
Maps agro-pastoral abandonment and successional velocity at cadastral resolution from 2018–2024 Sentinel-2 imagery. Applied to the Monti Prenestini with 85.8% overall accuracy (κ = 0.82), it produces a ranked cadastral database.
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Conference paper by Gabriele Pizzi, published on 1 July 2026 by the University of Zagreb – Faculty of Geodesy for the International Conference of Environmental Remote Sensing and GIS (ICERS 2026). Open access (CC BY 4.0) at doi.org/10.5281/zenodo.20408111. The PDF stays on Zenodo.
A Google Earth Engine method that maps abandonment status and successional velocity at cadastral resolution from Sentinel-2 imagery, 2018–2024. Applied to the Monti Prenestini, it reaches 85.8% overall accuracy (κ = 0.82) and produces a ranked cadastral database. The presentation at the conference has its own record.