ASSESSING POST-FIRE VEGETATION TRAJECTORIES USING MACHINE LEARNING AND REMOTE SENSING: EVIDENCE FROM A MEDITERRANEAN SITE
Emiliano Agrillo, Nazario Tartaglione, Alessandro Mercatini, Alice Pezzarossa, Gianluigi Ottaviani, Mara Baudena, Federico Filipponi
This study uses machine learning and remote sensing to analyze post-fire vegetation recovery in a Mediterranean area, finding rapid regrowth of shrubs and trees but slower recovery of coniferous stands.
bioRxiv · May 26, 2026 · PreprintEcology