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Ali, Jasim M.; Marsh, Stuart; Smith, Martin J. (2017)
Publisher: Elsevier
Languages: English
Types: Article
This study adopts remote sensing techniques to compare the Surface urban Heat Island (SUHI) in Bagh-dad and London as they represent different climatic conditions, natural environments and levels of urbandevelopment. It tests the reported correlation of land surface temperature (LST) with land cover in theliterature under different conditions and, based on the findings, suggests engineering mitigation strate-gies for each city. The land surface was characterized using supervised classification and spectral indices,using the Landsat 8 optical bands (2–7), and the LST was retrieved from Landsat’s thermal band 10 afteremissivity calibration. Two Landsat 8 satellite images were used, acquired in July 2013 when maximumsurface temperature would be expected in both these capital cities. Image processing included radio-metric calibration and atmospheric correction and various land surface indices were then calculated.The independent validation of land cover types was performed using higher spatial resolution opticaldata, and LST patterns were validated using ASTER thermal images. Land cover types or indices and landsurface temperature display high correlations, with most having a positive relationship with LST, but veg-etation has a negative relationship. The hottest surface type also differs for the two cities. Consequently,covering the soil in Baghdad with new construction, for example, reduces the surface temperature andhence urban heat island effect, while the same action in London increases it. Thus, engineering solutionsto urban heat island issues need to take local factors into account
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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