Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe

Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe

The attribution of forest disturbances to disturbance agents is a critical challenge for remote sensing-based forest monitoring, promising important insights into drivers and impacts of forest disturbances. Previous studies have used spectral-temporal metrics derived from annual Landsat time series...

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Bibliographic Details
Main Authors: Julian Oeser, Dirk Pflugmacher, Cornelius Senf, Marco Heurich, Patrick Hostert
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Forests
Subjects:
Landsat
time series
disturbance agent
attribution
intra-annual
Central Europe
Online Access:https://www.mdpi.com/1999-4907/8/7/251

Internet

https://www.mdpi.com/1999-4907/8/7/251

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