Forest disturbance regimes are
expected to intensify as Earth’s climate changes. We
investigated the vulnerability of European forests to fires, windthrows and
insect outbreaks during the period 1979-2018 by integrating machine learning with
disturbance data and satellite products. The
proposed methodology is purely data-driven and therefore reproducible,
applicable at large scales, and in line with the
measurement/reporting/verification process of UNFCCC. Results
of this study have been published in Forzieri et al. (2021).
Pre-processed
data, codes and final vulnerability models developed in the afore-mentioned
work are made publicly available here and briefly described to facilitate
reproducibility and applicability.
Funding
The study was funded by the Exploratory Project FOREST@RISK of the European Commission, Joint Research Centre.