Spatial Variation and Relation of Aerosol Optical Depth with LULC and Spectral Indices

In the current study area (Faridabad, Gurugram, Ghaziabad, and Gautam Buddha Nagar), aerosol concentration is very high, adversely affecting environmental conditions air quality. Investigating impact of Land Use Cover (LULC) on Aerosol Optical Depth (AOD) helps us to develop effective solutions for improving Hence, spectral indices derived from LULC ((Normalized difference vegetation index (NDVI), Soil adjusted (SAVI), Enhanced (EVI), Normalized build-up (NDBI)) with Moderate Resolution Imaging Spectroradiometer (MODIS) Multiangle Implementation Atmospheric Correction (MAIAC) high spatial resolution (1 km) AOD years 2010–2019 (less urbanized period) has been correlated. The used remote sensing Geographical Information System (GIS) techniques examine changes in region over ten (2010–2019) relationship between AOD. A significant increase built-up areas (12.18%) grasslands (51.29%) was observed during 2010–2019, while cropland decreased by 4.42%. positive correlation NDBI SAVI (0.35, 0.27) indicates that soils play an important role accumulating a semi-arid region. At same time, negative NDVI EVI (?0.24, ?0.15) removal aerosols due vegetation. results indicate can PM2.5 modeling regions. Based these findings, urban planners improve land use management, quality, planning.