Remote sensing approach for aerosol optical thickness (AOT) monitoring in relation to the road network in Lagos Metropolis, Nigeria

Abstract

There are knowledge gaps in understanding the dynamics between air quality and road network traffic. This study used Landsat imageries of Lagos Metropolis at two epochs (2002 and 2020) as well as in-situ data to assess the AOT levels and its variation along the road networks of Lagos Metropolis. The python based 6S model was used to simulate AOT using land surface reflectance and top of atmosphere reflectance, and the AOT concentration levels across the road networks were mapped. It was observed that the AOT concentration throughout the study period was higher along the major roads. This can be attributed to the high level of air pollutants released from vehicles, including home/office generators and industries along the road corridors. As a result, the government and air quality agencies should establish more programs or measures to curb this high air pollution concentration.