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Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe

Remote sensing is a key information source for improving the spatiotemporal understanding of forest ecosystem dynamics. Yet, the mapping and attribution of forest change remains challenging, particularly in areas where a number of interacting disturbance agents simultaneously affect forest developme...

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Détails bibliographiques
Publié dans:ISPRS J Photogramm Remote Sens
Auteurs principaux: Senf, Cornelius, Pflugmacher, Dirk, Hostert, Patrick, Seidl, Rupert
Format: Artigo
Langue:Inglês
Publié: 2017
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5572776/
https://ncbi.nlm.nih.gov/pubmed/28860678
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isprsjprs.2017.07.004
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