LORENZO CESARETTI

PhD Graduate

PhD program:: XXXVIII



Thesis title: Exploring the phenological responses of European beech forests to summer extreme weather events from remotely sensed data

Extreme summer heatwaves are emerging as a major threat to forest ecosystems under climate change, disrupting physiological processes and altering vegetation phenology. Remote sensing offers a unique opportunity to detect phenological responses to climate extremes, capturing changes in canopy greenness, senescence timing, and vegetation condition with temporal continuity and spatial scalability. In this context, the thesis investigates how European beech (Fagus sylvatica) forests respond to such thermal stress, using satellite remote sensing to monitor phenological dynamics across large spatial-temporal scales. The research is structured into three studies, each addressing a specific objective: (i) evaluating the capacity of satellite products to characterize forest distribution across Europe; (ii) comparing satellite-derived and ground-based observations of autumn phenology in beech forests to understand the meaning of their discrepancies and the environmental drivers; and (iii) quantifying the spatial extent and phenological impacts of summer heatwaves, identifying both immediate and delayed responses across biogeographical gradients in beech distribution. The main results reveals that heatwaves suppress summer canopy greenness and accelerate autumn senescence, with region-specific patterns ranging from graded, intensity-dependent declines in cooler and mesic areas to threshold-type responses in Mediterranean zones. By integrating multi-temporal satellite data with climatic indicators, this thesis demonstrates the potential of phenology as a valuable remote sensing indicator for monitoring forest vulnerability at continental scale. The findings contribute to support decision-making and to guide future research for the development of adaptive forest management, reinforcing the role of Earth observation in tracking ecosystem resilience under intensifying climate extremes.

Research products

11573/1754688 - 2025 - Exploring the discrepancies between ground- and satellite-based autumn phenology: a comparative analysis in European beech forests
Cesaretti, Lorenzo; Bajocco, Sofia; Corona, Piermaria; Ferrara, Carlotta - 01a Articolo in rivista
paper: INTERNATIONAL JOURNAL OF REMOTE SENSING (London: Taylor & Francis Ltd..) pp. 8440-8459 - issn: 0143-1161 - wos: (0) - scopus: (0)

11573/1754687 - 2025 - Copernicus for monitoring European forests. Strengths, challenges and potential
Cesaretti, Lorenzo; Francini, Saverio; Travaglini, Davide; Corona, Piermaria - 01a Articolo in rivista
paper: EUROPEAN JOURNAL OF REMOTE SENSING (FIRENZE, ITALY: ASSOCIAZIONE ITALIANA TELERILEVAMENTO, UNIVERSITA' DEGLI STUDI FIRENZE, DIPARTIMENTO SCIENZE DELLA TERRA) pp. - - issn: 2279-7254 - wos: (0) - scopus: (0)

11573/1726990 - 2024 - Exploring the autumn phenology of European beech forests: a comparative analysis of ground-based and satellite observations
Cesaretti, Lorenzo; Ferrara, Carlotta; Corona, Piermaria; Bajocco, Sofia - 04d Abstract in atti di convegno
conference: EGU General Assembly 2024 (Vienna)
book: EGU General Assembly 2024 - ()

11573/1726989 - 2024 - A Semi-Automatic Approach for Tree Crown Competition Indices Assessment from UAV LiDAR
Puletti, Nicola; Guasti, Matteo; Innocenti, Simone; Cesaretti, Lorenzo; Chiavetta, Ugo - 01a Articolo in rivista
paper: REMOTE SENSING (Basel : Molecular Diversity Preservation International) pp. - - issn: 2072-4292 - wos: WOS:001277426000001 (8) - scopus: 2-s2.0-85200032449 (10)

11573/1697652 - 2023 - A comparison of pre-processing approaches for remotely sensed time series classification based on functional analysis
Balestra, Mattia; Pierdicca, Roberto; Cesaretti, L.; Quattrini, G.; Mancini, A.; Galli, A.; Savina Malinverni, Eva; Casavecchia, S.; Pesaresi, S. - 04b Atto di convegno in volume
conference: ISPRS Geospatial Week 2023 (Il Cairo, Egypt)
book: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ()

11573/1697547 - 2023 - Foreste digitali: innovazioni e opportunità // Digital Forests: innovations and opportunities
Corona, P; Costa, C; Barbetti, R; Bergante, S; Cesaretti, L; Chiarabaglio Pier, M; Chirici, G; Giannetti, F; Ferrara, C; Gennaro, M; Guasti, M; Laschi, A; Mariotti, B; Marra, E; Mattioli, W; Puletti, N; Marchi, E - 01a Articolo in rivista
paper: FOREST@ (Società Italiana di Selvicoltura ed Ecologia Forestale (S.I.S.E.F.) Powered by: MYSQL - PHP) pp. 52-60 - issn: 1824-0119 - wos: (0) - scopus: (0)

11573/1697550 - 2023 - Forests management in the metaverse: the potential of forest digital twin and blockchain for preventing crimes
Di Domenico, Giorgia; Cesaretti, Lorenzo; Pontuale, Elisa; Di Stefano, Valerio - 04f Poster
conference: 4th Conference of Associazione Italiana Società Scientifiche Agrarie (AISSA) Under40 (Salerno, Italy)
book: Nuove frontiere e sfide per la sostenibilità dei sistemi Agro-Silvo-Pastorali e la sicurezza alimentare - ()

11573/1697645 - 2022 - Clustering of Remotely Sensed Time Series using Functional Principal Component Analysis to Monitor Crops
Coviello, L.; Martini, F. M.; Cesaretti, L.; Pesaresi, S.; Solfanelli, F.; Mancini, A. - 04b Atto di convegno in volume
conference: 2022 IEEE Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2022 (Perugia, Italia)
book: IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) - (978-1-6654-6998-2)

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