Estimating the Impact of COVID-19 on the PM<sub>2.5</sub> Levels in China with a Satellite-Driven Machine Learning Model

Estimating the Impact of COVID-19 on the PM<sub>2.5</sub> Levels in China with a Satellite-Driven Machine Learning Model

China implemented an aggressive nationwide lockdown procedure immediately after the COVID-19 outbreak in January 2020. As China emerges from the impact of COVID-19 on national economic and industrial activities, it has become the site of a large-scale natural experiment to evaluate the impact of COV...

Bibliografiset tiedot
Päätekijät:	Qiulun Li, Qingyang Zhu, Muwu Xu, Yu Zhao, K. M. Venkat Narayan, Yang Liu
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	MDPI AG 2021-04-01
Sarja:	Remote Sensing
Aiheet:	PM<sub>2.5</sub> air pollution COVID-19 MAIAC AOD random forest machine learning
Linkit:	https://www.mdpi.com/2072-4292/13/7/1351

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