  Remote sensing analysts continuously monitor the amount of pollutants in the
atmosphere. They are usually performed via satellite images. However, these
images suffer from low temporal and low spatial resolution. Therefore,
observations recorded from the ground offer us a fantastic alternative. There
are low-cost sensors that continuously record the PM$_{2.5}$ and PM$_{10}$
concentration levels in the atmosphere. In this position paper, we provide an
overview of the state-of-the-art techniques for pollutant forecasting. We
establish the interdependence of meteorological parameters on atmospheric
pollutants. Our case study in this paper is based on the island of Australia.
