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Land surface tempreature (LST) is a critical parameter for the study of biosphere, cryosphere and climate change.. Thermal infrared remote sensing data can be used to measure Land Surface Temperature (LST). It will measure the energy exiting the Earth's surface and record the apparent temperature of the surface. It is now possible to measure LST due to the advent of satellite imagery and digital image processing applications. The LST for Srinagar city was calculated using the Split Window algorithm (SW) and Landsat-8 (Path-149 and Row-36) Thermal Infrared Sensor (TIRS) data with a resolution of 100m. . Emissivity was calculated using the Normalized Differential Vegetation Index (NDVI) proportion of vegetation methodology, with bands 4 and 5 (30 m resolution) from the Operational Land Imager (OLI). Surface temperatures were found to be higher in central regions and lower in heavily vegetated areas. The LST derived using the SW algorithm was more efficient and precise since it used both OLI and TIRS bands
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