A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM<sub>2.5</sub> Concentrations across Great Britain

A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM<sub>2.5</sub> 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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Bibliographic Details
Main Authors: Rochelle Schneider, Ana M. Vicedo-Cabrera, Francesco Sera, Pierre Masselot, Massimo Stafoggia, Kees de Hoogh, Itai Kloog, Stefan Reis, Massimo Vieno, Antonio Gasparrini
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Remote Sensing
Subjects:
fine particulate matter
aerosol optical depth
satellite
reanalysis
machine learning
random forest
Online Access:https://www.mdpi.com/2072-4292/12/22/3803

Internet

https://www.mdpi.com/2072-4292/12/22/3803

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