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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Detalles Bibliográficos
Autores principales: Mascaro, Joseph, Asner, Gregory P., Knapp, David E., Kennedy-Bowdoin, Ty, Martin, Roberta E., Anderson, Christopher, Higgins, Mark, Chadwick, K. Dana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904849/
https://www.ncbi.nlm.nih.gov/pubmed/24489686
http://dx.doi.org/10.1371/journal.pone.0085993

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3904849/
https://www.ncbi.nlm.nih.gov/pubmed/24489686
http://dx.doi.org/10.1371/journal.pone.0085993

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