A tale of two "forests": random forest machine learning AIDS tropical forest carbon mapping.

Accurate and spatially-explicit maps of tropical forest carbon stocks are needed to implement carbon offset mechanisms such as REDD+ (Reduced Deforestation and Degradation Plus). The Random Forest machine learning algorithm may aid carbon mapping applications using remotely-sensed data. However, Ran...

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Auteurs principaux: Joseph Mascaro, Gregory P Asner, David E Knapp, Ty Kennedy-Bowdoin, Roberta E Martin, Christopher Anderson, Mark Higgins, K Dana Chadwick
Format: article
Langue:EN
Publié: Public Library of Science (PLoS) 2014
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/08103648c6a04a1eac14471b6a484809
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