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- W4240973802 abstract "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." @default.
- W4240973802 created "2022-05-12" @default.
- W4240973802 creator A5064629439 @default.
- W4240973802 date "2019-05-24" @default.
- W4240973802 modified "2023-10-15" @default.
- W4240973802 title "Retrieval of Land Surface Temperature of Lahore Through Landsat-8 TIRS Data" @default.
- W4240973802 doi "https://doi.org/10.46660/ojs.v10i1.220" @default.
- W4240973802 hasPublicationYear "2019" @default.
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