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Patch-Based Forest Change Detection from Landsat Time Series

In the species-rich and structurally complex forests of the Eastern United States, disturbance events are often partial and therefore difficult to detect using remote sensing methods. Here we present a set of new algorithms, collectively called Vegetation Regeneration and Disturbance Estimates throu...

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Détails bibliographiques
Auteurs principaux: M. Joseph Hughes, S. Douglas Kaylor, Daniel J. Hayes
Format: Artigo
Langue:Inglês
Publié: MDPI AG 2017-05-01
Collection:Forests
Sujets:
Accès en ligne:http://www.mdpi.com/1999-4907/8/5/166
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