Journal
GEOCARTO INTERNATIONAL
Volume 32, Issue 5, Pages 503-513Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/10106049.2016.1156167
Keywords
Land surface temperature; Landsat 8 TIRS; MODIS; mono-window algorithm; thermal infrared
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In this study, we presented a mono-window (MW) algorithm for land surface temperature retrieval from Landsat 8 TIRS. MW needs spectral radiance and emissivity of thermal infrared bands as input for deriving LST. The spectral radiance was estimated using band 10, and the surface emissivity value was derived with the help of NDVI and vegetation proportion parameters for which OLI bands 5 and 4 were used. The results in comparison with MODIS (MOD11A1) products indicated that the proposed algorithm is capable of retrieving accurate LST values, with a correlation coefficient of 0.850. The industrial area, public facilities and military area show higher surface temperature (more than 37 degrees C) in comparison with adjoining areas, while the green spaces in urban areas (34 degrees C) and forests (29 degrees C) were the cooler part of the city. These successful results obtained in the study could be used as an efficient method for the environmental impact assessment.
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