<p>Urbanization and anthropogenic activities are continuously deteriorating urban air quality in metropolitan cities of the world. Lahore is consistently ranked among top cities globally with the worst air quality. Based on the significance, the current study aims to address a critical gap in existing research by analyzing land use- based urban air quality of Lahore, integrating ground-based Particulate Matter (PM_2.5 and PM₁₀) measurements and Sentinel-5P-derived air pollutants data. The Sentinel-5P derived measurements were used to predict and evaluate the significance of their relationships with ground-based PM observations. Geospatial patterns of the PM_2.5 and PM₁₀ were analyzed using Inverse Distance Weighting (IDW) interpolation and Moran’s I spatial autocorrelation. Two General Linear Models (GLM) were employed to evaluate the satellite-derived pollutants and land use categories as significant predictors of the PM_2.5 and PM₁₀. Research findings indicated high concentrations of PM_2.5 and PM₁₀ were recorded on 1st November 2019 as 416 and 1906&#xa0;µg/m³ respectively, in northern and northeastern parts of the city across the transportational land use. PM_2.5 exhibited high correlation with CH₄ (<i>r</i> = 0.69), AAI (<i>r</i> = 0.61), and SO₂ (<i>r</i> = 0.57). The GLM results showed LULC (<i>F</i> = 4.72, <i>η</i>² = 0.167) and CH₄ (<i>F</i> = 9.49, <i>η</i>² = 0.084) with a significant (<i>p</i> &lt; 0.05) and large effect in predicting PM_2.5. The research findings possess significant policy implications for urban air quality management, urban planning, and sustainable land use management. The research findings also support health policy makers emphasizing the significance of land-use-based targeted interventions to reduce harmful air pollutants.</p>