Using remotely sensed data for air pollution assessment

Air pollution constitutes a global problem of paramount importance that affects not only human health, but also the environment. The existence of spatial and temporal data regarding the concentrations of pollutants is crucial for performing air pollution studies and monitor emissions. However, although observation data presents great temporal coverage, the number of stations is very limited and they are usually built in more populated areas.
The main objective of this work is to create models capable of inferring pollutant concentrations …

air pollution assessment coverage cs.lg data emissions environment global health human importance observation physics.ao-ph pollution spatial studies temporal the environment