In recent years, data from the Sentinel-5P satellite have attracted attention as an effective tool for monitoring the spatiotemporal patterns of air pollution. This study aimed to investigate the spatiotemporal patterns of four major air pollutants, namely nitrogen dioxide (NO₂), carbon monoxide (CO), sulfur dioxide (SO₂), and the Absorbing Aerosol Index (AAI), across the urban area of Kerman during 2018–2024. To this end, annual and seasonal maps of the pollutants were derived from Sentinel-5P satellite data, and their relationships with ground-based measurements from the Moshtagh air pollution monitoring station, as well as with land surface temperature, vegetation cover, elevation, and road density, were analyzed. In addition, the Composite Index of Air Pollution (CIAP) was calculated to assess cumulative pollution pressure. The results showed that all pollutants exhibited distinct seasonal variations, and that CO and NO₂ concentrations declined markedly in 2022, a decrease partly attributable to reduced human activity during the COVID-19 pandemic. District 4 of Kerman had the highest pollution level, with a mean CIAP of 0.773, and the highest NO₂ and CO values, whereas the lowest CIAP (0.647) was observed in District 3. The satellite data showed acceptable agreement with the ground-station data, with the highest correlation coefficient for SO₂ (R = 0.52) and the lowest for AAI (R = 0.43). A positive correlation was also found between NO₂ and CO (r = 0.79), and the pollutants correlated positively with road density (r = 0.62) and negatively with elevation and vegetation cover. These findings indicate that Sentinel-5P data, combined with statistical analyses, are a suitable tool for air quality monitoring and for supporting environmental