A machine learning approach to estimation of downward solar radiation from satellite-derived data products: An application over a semi-arid ecosystem in the U.S.

Shortwave solar radiation is an important component of the surface energy balance and provides the principal source of energy for terrestrial ecosystems. This paper presents a machine learning approach in the form of a random forest (RF) model for estimating daily downward solar radiation flux at th...

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Detalles Bibliográficos
Autores principales: Zhou, Qingtao, Flores, Alejandro, Glenn, Nancy F., Walters, Reggie, Han, Bangshuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544233/
https://www.ncbi.nlm.nih.gov/pubmed/28777811
http://dx.doi.org/10.1371/journal.pone.0180239

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544233/
https://www.ncbi.nlm.nih.gov/pubmed/28777811
http://dx.doi.org/10.1371/journal.pone.0180239

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