Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe

Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe

The recent COVID-19 pandemic affected various aspects of life. Several studies established the consequences of pandemic lockdown on air quality using satellite remote sensing. However, such studies have limitations, including low spatial resolution or incomplete spatial coverage. Therefore, in this...

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Bibliographic Details
Main Authors: Saleem Ibrahim, Martin Landa, Ondřej Pešek, Karel Pavelka, Lena Halounova
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Remote Sensing
Subjects:
aerosol optical depth
CAMS
COVID-19
machine learning
MODIS
Online Access:https://www.mdpi.com/2072-4292/13/15/3027

Internet

https://www.mdpi.com/2072-4292/13/15/3027

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