EcologyAgricultural and Forest MeteorologyPeer-reviewed
Investigating climate-phenology relationships among the most common Italian forest species using Sentinel-2-derived vegetation phenology and productivity products
Elia Vangi, Giovanni D’Amico, Vincenzo Saponaro…·Gherardo Chirici
This study examines climate-phenology relationships in Italian forest species using remote sensing and machine learning, finding growing season lengthening and species-specific responses to climate factors.
DOI 10.1016/j.agrformet.2026.111496