Air pollution is considered one of the greatest environmental risks facing humanity. Pollutants can be emitted from various natural and anthropogenic sources. Meteorological processes are the main driver for atmospheric pollutant dispersion, transformation, and removal. Air pollution has several impacts on the environment, humans, and climate. Millions of people throughout the world die as a result of air pollution exposure originating from emissions from outdoor and indoor anthropogenic sources, as reported by the WHO. In addition, some air pollutants (greenhouse gases) can increase atmospheric warming and influence climate. Coastal areas are influenced by various types of air pollutants from ship emissions or human developments along the coast. Owing to the multiple impacts of air pollution, there is a need to monitor and assess air pollution emissions to improve air quality globally. Over the past decade there have been significant developments in the field of air quality research spanning improvements in characterizing sources and emissions of air pollution, new measurement technologies offering the possibility of low-cost sensors, advances in air-quality prediction and forecasting, understanding interactions with meteorology and climate, and exposure assessment and management. Thus, this chapter addresses the advanced techniques for air quality monitoring. One of these techniques is satellite remote sensing, which can provide data on air quality. Satellite data can fill in spatial gaps of ground monitoring resources and provide air quality information in areas without a ground monitor. Numerous satellite data can indicate air pollutants (e.g., PM2.5 and SO2) and greenhouse gases (e.g., CH4 and CO2). In conclusion, the chapter highlights the importance of remote sensing and modeling techniques for air-quality monitoring.