Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

The aim of this research was to assess the land use/land cover (LULC) changes and its impact on surface temperature (LST) using remote-sensing (RS) technique in district Khanewal, Punjab, Pakistan. Data were pre-processed ERDAS imagine 15 Arc GIS 10.4 software for layer stacking, mosaicking, sub-setting Landsat images. After pre-processing, supervised classification scheme applied years 1980, 2000, 2020, which explains maximum likelihood algorithm identify LULC observed study area. “Built-up area” 1980 occupied 1.75% but build-up area increased (5.27%) compared 2020. Vegetation decreased by 4.12% from 2020 Khanewal. It that there has been a rapid change vegetation LST values 0.50°C due increasing East West direction Maximum minimum normalized difference index (NDVI) 0.72 ?0.2 regression line produced definitive explanation, showing strong negative correlation with NDVI LST. outcomes indicated dramatic transformation took place Khanewal regarding decrease greenness increase population density, urban growth, other infrastructural developments. Thus, these results will be used regional planning managing agriculture coming environmental changes.