Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2.5) using satellite data over large regions

标题
Advancing methodologies for applying machine learning and evaluating spatiotemporal models of fine particulate matter (PM2.5) using satellite data over large regions
作者
关键词
Air pollution, PM, 2.5, Spatial cross-validation, Aerosol optical depth, MAIAC
出版物
ATMOSPHERIC ENVIRONMENT
Volume 239, Issue -, Pages 117649
出版商
Elsevier BV
发表日期
2020-07-17
DOI
10.1016/j.atmosenv.2020.117649

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