Evaluation of the relationship between urban area and land surface temperature determined from optical satellite data: A case of Istanbul
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Abstract
In recent years, the formation of urban heat islands occurring both depending on urban structuring and human activities has been the focus of attention of many researchers. In particular, remote sensing data has been widely used in this type of research. Because with the development in satellite and remote sensing technologies, satellite sensors that detect at different spatial, spectral, and radiometric resolutions not only enable the determination of land use classes on the Earth's surface but also allow the determination of the land surface temperature. In this study, Landsat 8 OLI-TIRS images of 2018 were used to determine the urban area and land surface temperature. Urban areas were determined by applying Normalized Building Difference Index (NDBI) to the Short-Wave Infrared (SWIR) and Near Infrared (NIR) bands of the Landsat 8 OLI sensor. Thermal Infrared (TIR) bands of the Landsat 8 TIRS sensor were used to determine the land surface temperature (LST). According to the results obtained, the lowest average temperature value is 22 °C in the Adalar district and the highest average temperature value is 33 °C in the Gaziosmanpaşa district, and there is a positive 76% linear relationship between the urban object ratio and the land surface temperature.
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References
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