Ibrahim, S.; Landa, M.; Pešek, O.; Pavelka, K.; Halounova, L.
Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe. Remote Sens. 2021, 13, 3027.
https://doi.org/10.3390/rs13153027
AMA Style
Ibrahim S, Landa M, Pešek O, Pavelka K, Halounova L.
Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe. Remote Sensing. 2021; 13(15):3027.
https://doi.org/10.3390/rs13153027
Chicago/Turabian Style
Ibrahim, Saleem, Martin Landa, Ondřej Pešek, Karel Pavelka, and Lena Halounova.
2021. "Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe" Remote Sensing 13, no. 15: 3027.
https://doi.org/10.3390/rs13153027
APA Style
Ibrahim, S., Landa, M., Pešek, O., Pavelka, K., & Halounova, L.
(2021). Space-Time Machine Learning Models to Analyze COVID-19 Pandemic Lockdown Effects on Aerosol Optical Depth over Europe. Remote Sensing, 13(15), 3027.
https://doi.org/10.3390/rs13153027