Predicting ground-level PM2.5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach

Published 2019 View Full Article

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Title
Predicting ground-level PM2.5 concentrations in the Beijing-Tianjin-Hebei region: A hybrid remote sensing and machine learning approach
Authors
Keywords
Remote sensing, Aerosol optical depth, Machine learning, PM, 2.5, Random forest
Journal
ENVIRONMENTAL POLLUTION
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-03-22
DOI
10.1016/j.envpol.2019.03.068

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