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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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| Main Authors: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3904849/ https://ncbi.nlm.nih.gov/pubmed/24489686 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0085993 |
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