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, Italian Society of Remote Sensing. All rights reserved.

MONITORING THIRTY-FIVE YEARS OF ITALIAN FOREST DISTURBANCE USING LANDSAT TIME SERIES / Borghi C.; Francini S.; Pollastrini M.; Bussotti F.; Travaglini D.; Marchetti M.; Munafo M.; Scarascia-Mugnozza G.; Tonti D.; Ottaviano M.; Giuliani C.; Cavalli A.; Vangi E.; D'amico G.; Giannetti F.; Chirici G.. - ELETTRONICO. - 2:(2021), pp. 112-115.

MONITORING THIRTY-FIVE YEARS OF ITALIAN FOREST DISTURBANCE USING LANDSAT TIME SERIES

Borghi C.
;
Francini S.;Pollastrini M.;Bussotti F.;Travaglini D.;Marchetti M.;Vangi E.;D'amico G.;Giannetti F.;Chirici G.
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, Italian Society of Remote Sensing. All rights reserved.
2021
Planet Care from Space
112
115
Borghi C.; Francini S.; Pollastrini M.; Bussotti F.; Travaglini D.; Marchetti M.; Munafo M.; Scarascia-Mugnozza G.; Tonti D.; Ottaviano M.; Giuliani C...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1353474
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