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

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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Bibliographic Details
Main Authors: Joseph Mascaro, Gregory P Asner, David E Knapp, Ty Kennedy-Bowdoin, Roberta E Martin, Christopher Anderson, Mark Higgins, K Dana Chadwick
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24489686/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24489686/?tool=EBI

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