Event

DRONESTRESS: novel approaches to vegetation stress monitoring

Il 21/11/2024 ore 11.30 - 16.30

Area della ricerca del Cnr di Montelibretti
Building 4

The DRONESTRESS project develops novel approaches to vegetation stress monitoring using a fusion of drone-based remote sensing with other monitoring techniques.

The project fills the knowledge gaps in tree health assessment, forest management and understanding of drought and heatwave impacts. Land-use changes, heat waves, droughts and pathogens cause intense and increasing physiological stress, provoking defensive reactions as increased leaf temperature, reduced photosynthesis and transpiration, and altered leaf color.

In-situ tree sensors, Eddy-Covariance (EC) and space-borne radiometry provide insights on ecosystem-average scale or for a few individuals. However, the response strategies vary between individuals and species, and can only be resolved by drone remote sensing. DRONESTRESS combines techniques operating at tree- to landscape- scales to gain an improved vision of stress dynamics.

The newly developed methods for multi-scale assessment of plant health and stress will be applied in Finnish managed forests and Australian semi-arid ecosystems. DRONESTRESS advances the understanding of the vegetation functioning under extreme weather conditions and in response to pest attacks, promoting climate-smart harvest planning in forestry and contribute to the development of UAV measurement methods.

The seminar will be held by Pavel Alekseychik, Natural Resources Institute Finland. Carbon and energy balance of ecosystems Research Scientist, Natural Resources Institute Finland; Visiting Researcher, University of Helsinki; Visiting Researcher, CNR-IRET. Master’s degree in Atmosphere-Biosphere Interactions (2011). PhD in Meteorology (2017).

Organizzato da:
Cnr-Iret
University of Helsinki

Referente organizzativo:
Gaia Vaglio Laurin
CNR - Istituto di Ricerca sugli Ecosistemi Terrestri
gaia.vagliolaurin@cnr.it
Valentina Di Paola, Cnr-Iret, email: valentina.dipaola@iret.cnr.it

Modalità di accesso: ingresso libero

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