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: | , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2014
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/08103648c6a04a1eac14471b6a484809 |
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