A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM_2.5 Concentrations across Great Britain

Epidemiological studies on the health effects of air pollution usually rely on measurements from fixed ground monitors, which provide limited spatio-temporal coverage. Data from satellites, reanalysis, and chemical transport models offer additional information used to reconstruct pollution concentra...

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Autors principals:	Rochelle Schneider, Ana M. Vicedo-Cabrera, Francesco Sera, Pierre Masselot, Massimo Stafoggia, Kees de Hoogh, Itai Kloog, Stefan Reis, Massimo Vieno, Antonio Gasparrini
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2020-11-01
Col·lecció:	Remote Sensing
Matèries:	fine particulate matter aerosol optical depth satellite reanalysis machine learning random forest
Accés en línia:	https://www.mdpi.com/2072-4292/12/22/3803
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