Key message A remote sensing-based approach was implemented to detect the effect of a late spring frost on beech forests in the Mediterranean mountain region. The analysis of spatio-temporal variability of frost effects on normalised difference vegetation index (NDVI) highlighted the distribution of the canopy damage across the forest according to geomorphic factors such as slope, aspect, and altitude.

Effects of a large-scale late spring frost on a beech (Fagus sylvatica L.) dominated Mediterranean mountain forest derived from the spatio-temporal variations of NDVI

Nolè, Angelo
Writing – Original Draft Preparation
;
Rita, Angelo
Data Curation
;
Ferrara, Agostino Maria Silvio
Membro del Collaboration Group
;
Borghetti, Marco
Writing – Review & Editing
2018-01-01

Abstract

Key message A remote sensing-based approach was implemented to detect the effect of a late spring frost on beech forests in the Mediterranean mountain region. The analysis of spatio-temporal variability of frost effects on normalised difference vegetation index (NDVI) highlighted the distribution of the canopy damage across the forest according to geomorphic factors such as slope, aspect, and altitude.
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/134036
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