Abstract
Abstract. Due to unplanned and uncontrolled expansion of urban areas, rural land cover types have been replaced with artificial materials. As a result of these replacements, a wide range of negative environmental impacts seriously impacting human health, natural areas, ecosystems, climate, energy efficiency, and quality of living in town center. In this study, the impact of land surface temperature with respect to land cover and land use categories is investigated and evaluated for Istanbul, Turkey. Land surface temperature data was extracted from 21 October 2014 dated Landsat 8 OLI data using mono-window algorithm. In order to extract land use/cover information from remotely sensed data wetness, greenness and brightness components were derived using Tasseled Cap Transformation. The statistical relationship between land surface temperature and Tasseled Cap Transformation components in Istanbul was analyzed using the regression methods. Correlation between Land Surface Temperature and Meteorological Stations Temperature calculated %74.49.
Highlights
Land surface Temperature (LST) derived from satellite remotely sensed thermal infrared (TIR) imagery is a key variable to understand the impacts of urbanization induced land use and land cover (LULC) changes.[1]
[2] Several LST retrieval algorithms had been developed for pervious Landsat Series with single TIRs band data
The widely used Monowindow algorithm developed by Qin at al. [3] requires three essential parameters for LST retrieval from the one TIRs band data of Landsat series: ground emissivity, atmospheric transmittance and effective mean atmospheric temperature.[4]
Summary
Land surface Temperature (LST) derived from satellite remotely sensed thermal infrared (TIR) imagery is a key variable to understand the impacts of urbanization induced land use and land cover (LULC) changes.[1]. [2] Several LST retrieval algorithms had been developed for pervious Landsat Series with single TIRs band data. [3] requires three essential parameters for LST retrieval from the one TIRs band data of Landsat series: ground emissivity, atmospheric transmittance and effective mean atmospheric temperature.[4]. LST was derived with Mono-window algorithm using new generation Landsat 8 TIR and resultant LST map was analyzed and compared with TCT components for sustainable management of Istanbul. The correlation between LST and NDVI, Greenness, Brightness and Wetness components of TCT indicates that the negative correlation of LST and NDVI, Greenness suggests that the green land can weaken the effect on urban heat island, while the positive correlation between LST and Brightness means that the built-up land can strengthen the effect of urban heat island in our case study.[6]
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