Characterization of Wildfires and Harvesting Forest Disturbances and Recovery Using Landsat Time Series: A Case Study in Mediterranean Forests in Central Italy

Characterization of Wildfires and Harvesting Forest Disturbances and Recovery Using Landsat Time Series: A Case Study in Mediterranean Forests in Central Italy

Large-scale forest monitoring benefits greatly from change detection analysis based on remote sensing data because it enables characterizing forest dynamics of disturbance and recovery by detecting both gradual and abrupt changes on Earth’s surface. In this study, two of the main disturbances occurr...

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Bibliographic Details
Main Authors: Carmelo Bonannella, Gherardo Chirici, Davide Travaglini, Matteo Pecchi, Elia Vangi, Giovanni D’Amico, Francesca Giannetti
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Fire
Subjects:
wildfire
harvest
forests
forest fires
coppices
classification of forest disturbances
Online Access:https://www.mdpi.com/2571-6255/5/3/68

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