Retrieving spatial variations of land surface temperatures from satellite data–Cairo region, Egypt

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Abstract

Cairo region is characterized by a range of physiographic features, including: flat agricultural lands, bare sandy deserts, highlands, calcareous terrains and urban land use. A time series data-set (300 images) acquired from the Moderate Resolution Imaging Spectroradiometer for the period July 2002–June 2015 were utilized to retrieve the spatial variations in the mean land surface temperature (LST) for the above-mentioned surface features. Results showed that vegetation, topography and surface albedo have negative correlations with LST. Vegetation/LST correlation has the maximum regression coefficient (R2 = 0.68) and albedo/LST has the minimum (R2 = 0.03). Cultivated lands reveal the lowest mean LST (<32 °C), whereas industrial lands exhibit the highest LST (>40 °C) of Cairo region. There is a considerable urban heat island formed at Helwan south of Cairo, where heavy industries are settled. Industrial activities raised the mean LST of the region by at least 4 °C than the surrounding urban lands.

Original languageEnglish
Pages (from-to)556-568
Number of pages13
JournalGeocarto International
Volume32
Issue number5
DOIs
Publication statusPublished - May 4 2017

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Keywords

  • Cairo
  • LST
  • MODIS
  • topography
  • UHI

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Water Science and Technology

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