Using neural networks and remote sensing for spatio-temporal prediction of air pollution during the COVID-19 pandemic
Description
The study aims to monitor air pollution in Iranian metropolises using remote sensing, specifically focusing on pollutants such as O(3), CH(4), NO(2), CO(2), SO(2), CO, and suspended particles (aerosols) in 2001 and 2019. Sentinel 5 satellite images
