Land surface temperature (LST) is an important parameter in global climate change and urban thermalenvironmental studies. The significance of land surface temperature is being acknowledged gradually and interest isincreasing in developing methodologies for the retrieval of LST from Satellite Remote Sensing (SRS) data. ThermalInfrared Sensor (TIRS) of Landsat-8 is the newest TIR sensor for the Landsat Data Continuity Mission (LDCM),offering two adjacent thermal infrared bands (10, 11), having significant beneficiary for the land surface temperatureinversion. The spectral radiance can be estimated through TIR bands 10 and 11 of Landsat-8 OLI_TIRS satellite image.In the present study, the radiative transfer equation-based method has been employed in estimating LST of Lahore andthe analysis demonstrated that estimated LST has the highest accuracy from the radiative transfer method through band10. Land Surface Emissivity (LSE) was derived with the aid of the NDVI’s threshold technique. The present studyresults show that as the built-up area increases and vegetation cover decreases in urban surface, they are linked toincrease in urban land surface temperature and conversely larger vegetation cover associated with lower urbantemperature. The output exposed that LST was high in built-up and barren land, whereas it was low in the area wherethere were more vegetation cover and water.

This paper attempts to explore the impact of built-up areas on groundwater levels in district Faisalabad.To understand the rate of built-up area expansion and changes in the level of groundwater in the study area, groundwaterdata has been acquired from the Land Reclamation Department for all tehsils in district Faisalabad. This study wasconducted to assess spatial and temporal variation of groundwater level because of the built-up area change. Descriptivestatistics (Scatter Plot correlation technique) have been applied to figure out changes in groundwater levels. Furthermore,some built-up area extraction methods have been incorporated that are always found to be effective tools for theassessment of built-up area change. The spatial analysis tool Spline has applied to 79 bore points in all tehsils of districtFaisalabad. Results clearly show that a built-up increase of 41 km2in Faisalabad city is causing 1-foot depletion ingroundwater as compared to other tehsils, where a built-up increase is negligible. Such research studies of groundwaterchanges would assist the planners to adopt effective sustainable measures.