Author

Costanza Borghi

University of FlorenceORCID 0000-0002-5334-7548Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 2 Research Focus:ecology & biodiversity· 1 Approach:graph neural network· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Elia VangiiD· 2 shared Gherardo ChiriciiD· 2 shared Saverio FranciniiD· 2 shared Alessio CollaltiiD· 1 shared Francesco ParisiiD· 1 shared Gioele Tiberi· 1 shared Giovanni D'Amico· 1 shared Giovanni D’AmicoiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersEcology

Elia VangiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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, Mattia Niccoli, Gioele Tiberi, Saverio Francini, Costanza Borghi, Alessio Collalti, Francesco Parisi, 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.

Agricultural and Forest Meteorology · Sep 29, 2026Peer-reviewedEcology

Integrating Earth Observation and Graph Theory to Evaluate Urban Green Spaces Connectivity Across European Capitals

Costanza Borghi, Saverio Francini, Leonardo Chiesi, Stefano Mancuso, Liubov Tupikina, Guido Caldarelli, Jacopo Moi, Elia Vangi, Giovanni D'Amico, Giuseppe De Luca, Gherardo Chirici

This study evaluates urban green spaces connectivity in 28 European capitals using Earth observation and graph theory, finding that network metrics better capture functional connectivity than traditional metrics.

Landscape Ecology · Jun 14, 2026Peer-reviewedEcology