Retrieval of Land Surface Temperature of Lahore Through Landsat-8 TIRS Data

Abstract

Land surface temperature (LST) is an important parameter in global climate change and urban thermal environmental studies. The significance of land surface temperature is being acknowledged gradually and interest is increasing in developing methodologies for the retrieval of LST from Satellite Remote Sensing (SRS) data. Thermal Infrared 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 temperature inversion. 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 and the analysis demonstrated that estimated LST has the highest accuracy from the radiative transfer method through band 10. Land Surface Emissivity (LSE) was derived with the aid of the NDVI’s threshold technique. The present study results show that as the built-up area increases and vegetation cover decreases in urban surface, they are linked to increase in urban land surface temperature and conversely larger vegetation cover associated with lower urban temperature. The output exposed that LST was high in built-up and barren land, whereas it was low in the area where there were more vegetation cover and water

Keywords

• land surface temperature
• land surface emissivity
• oli
• tirs
• ndvi
• landsat-8
• lahore