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Using Machine Learning to Estimate Global PM(2.5) for Environmental Health Studies

With the increasing awareness of health impacts of particulate matter, there is a growing need to comprehend the spatial and temporal variations of the global abundance of ground-level airborne particulate matter (PM(2.5)). Here we use a suite of remote sensing and meteorological data products toget...

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Detalles Bibliográficos
Autores principales:	Lary, D. J., Lary, T., Sattler, B.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Libertas Academica 2015
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431482/ https://www.ncbi.nlm.nih.gov/pubmed/26005352 http://dx.doi.org/10.4137/EHI.S15664

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