Modeling NO2 air pollution variation during and after COVID-19-regulation using principal component analysis of satellite imagery
Description
By implementing Principal Component Analysis (PCA) of multitemporal satellite data, this paper presents modeling solutions for air pollutant variation in three scenarios related to COVID-19 lockdown: pre, during, and after lockdown. Tropospheric NO(2
