Forest ecosystems have a crucial role for biodiversity conservation, providing a large set of ecosystem services. Understanding and assessing forest disturbance regimes on a large spatial and temporal scale is a prerequisite setting up sustainable forest management solutions. In this context, Remote Sensing is an efficient tool frequently used in land-use change detection. The present work is aimed at spatially estimating forest disturbing events occurred in Italy in the period 1985-2019. Using Landsat time series and the 3I3D forest disturbance detection algorithm, we analyzed “extreme” forest disturbance patterns and their evolution in the last 35 years. We found a total of 472 events, with the highest incidence (96) in the period 1990 - 1994. The accuracy of the 3I3D algorithm was estimated using a photo-interpreted dataset of nine random-sampled squared cells of 225 km2 each, distributed in the Italian region. Omission error for the 3I3D map ranged from a minimum of 37.43% to a maximum of 64.62% (mean value of 47.07%) while the commission error between 36.80% and 83.92%, with an average of 49.60%. Results suggest that occurrence of severe disturbance events do not seem to increase over time in the study period.

Monitoring thirty-five years of Italian forest disturbances using landsat time series / Borghi Costanza, Francini Saverio, Pollastrini Martina, Bussotti Filippo, Travaglini Davide, Marchetti Marco, Munafò M., Scarascia-Mugnozza Giuseppe, Tonti Daniela, Ottaviano Marco, Giuliani C, Cavalli A., Vangi Elia, D’Amico Giovanni, Giannetti Francesca, Chirici Gherardo. - ELETTRONICO. - (2021), pp. 112-115. [10.978.88944687/00]

Monitoring thirty-five years of Italian forest disturbances using landsat time series

Borghi Costanza;Francini Saverio
;
Pollastrini Martina;Bussotti Filippo;Travaglini Davide;Vangi Elia;D’Amico Giovanni;Giannetti Francesca;Chirici Gherardo
2021

Abstract

Forest ecosystems have a crucial role for biodiversity conservation, providing a large set of ecosystem services. Understanding and assessing forest disturbance regimes on a large spatial and temporal scale is a prerequisite setting up sustainable forest management solutions. In this context, Remote Sensing is an efficient tool frequently used in land-use change detection. The present work is aimed at spatially estimating forest disturbing events occurred in Italy in the period 1985-2019. Using Landsat time series and the 3I3D forest disturbance detection algorithm, we analyzed “extreme” forest disturbance patterns and their evolution in the last 35 years. We found a total of 472 events, with the highest incidence (96) in the period 1990 - 1994. The accuracy of the 3I3D algorithm was estimated using a photo-interpreted dataset of nine random-sampled squared cells of 225 km2 each, distributed in the Italian region. Omission error for the 3I3D map ranged from a minimum of 37.43% to a maximum of 64.62% (mean value of 47.07%) while the commission error between 36.80% and 83.92%, with an average of 49.60%. Results suggest that occurrence of severe disturbance events do not seem to increase over time in the study period.
2021
978-88-944687-0-0
Planet Care from Space
112
115
Borghi Costanza, Francini Saverio, Pollastrini Martina, Bussotti Filippo, Travaglini Davide, Marchetti Marco, Munafò M., Scarascia-Mugnozza Giuseppe, ...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1256666
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