Air pollution is a serious environmental problem that aggravates climate change. Sonipat district, is a fast-urbanizing area with serious air pollution issues brought on by a variety of industry, busy traffic, and agricultural methods. Since in-situ measurements of air pollution are not feasible everywhere on Earth's surface, satellite data sets are crucial for determining trends in air pollution. This study uses several data sets, such as Sentinel-5P air pollution data, CHIRPS rainfall data, and GPWv4 population density data to investigate the spatial and temporal fluctuations of air pollution with reference to meteorological and other important socioeconomic factors. Pollutants include Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Ozone (O3), and Absorbing Aerosol Index (AAI) are the main focus of the analysis during the winter, summer, and post-monsoon seasons. Findings revealed that the district's southeast portion has greater concentrations of CO and NO2, which are likely due to the intense traffic and industrial activity along National Highway 44. While O3 and SO2 exhibit seasonal fluctuations correlated with temperature and sunlight, AAI levels peak in the October in post-monsoon season as a result of regional wind patterns and agricultural burning. Rainfall during the September in post-monsoon season lowers the concentrations of pollutants because of retreating monsoon. Pollutant dispersion is greatly impacted by wind direction and speed. The study highlights the significance of weather-related elements in influencing air pollution levels and emphasizes the necessity for efficient air quality management and pollution mitigation techniques.