Spatiotemporal continuous estimates of PM2.5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations

标题
Spatiotemporal continuous estimates of PM2.5 concentrations in China, 2000–2016: A machine learning method with inputs from satellites, chemical transport model, and ground observations
作者
关键词
Fine particulate matter, Satellite remote sensing, Aerosol optical depth, Machine learning
出版物
ENVIRONMENT INTERNATIONAL
Volume 123, Issue -, Pages 345-357
出版商
Elsevier BV
发表日期
2018-12-18
DOI
10.1016/j.envint.2018.11.075

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