Items where the Funder is The European Union
Number of items: 1.
A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy. (2025)
Limoncella, Giorgio; Feurer, Denise; Roye, Dominic; de Hoogh, Kees; de la Cruz, Arturo; Gasparrini, Antonio; Schneider, Rochelle; Pirotti, Francesco; Catelan, Dolores; Stafoggia, Massimo; de’Donato, Francesca; Biscardi, Giulio; Marzi, Chiara; Baccini, Michela; Sera, Francesco