The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLI-B8
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 251–256, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-251-2016
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 251–256, 2016
https://doi.org/10.5194/isprs-archives-XLI-B8-251-2016

  22 Jun 2016

22 Jun 2016

DETERMINING THE IMPACTS OF LAND COVER/USE CATEGORIES ON LAND SURFACE TEMPERATURE USING LANDSAT8-OLI

F. Bektas Balcik and E. M. Ergene F. Bektas Balcik and E. M. Ergene
  • ITU Civil Engineering Faculty, Geomatics Engineering, 34469 Maslak Istanbul, Turkey

Keywords: Land Surface Temperature, Tasseled Cap Transformation, İstanbul, Landsat 8 OLI

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.