Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions

Rami Al-Ruzouq, Abdallah Shanableh, Mohamad Ali Khalil, Waleed Zeiada, Khaled Hamad, Saleh Abu Dabous, Mohamed Barakat A. Gibril, Ghadeer Al-Khayyat, Kamil E. Kaloush, Saeed Al-Mansoori, Ratiranjan Jena

Research output: Contribution to journalArticlepeer-review

Abstract

Climate change is undoubtedly affecting the global weather of the Earth. Rapid human civilization has mainly caused this in the last few decades. This research examined the spatial and temporal land surface temperature (LST) in the United Arab Emirates (UAE) coastal cities located in an arid region that faced massive urbanization over the last 50 years. We estimated the LST using by-products of Landsat and MODIS images covering 2000 until 2020. The assessment of LST was performed in two contexts, i.e., spatially and temporally, covering daytime vs. nighttime during the summer and winter seasons. Additionally, a supervised classification technique was adopted to extract the land use and land cover in the study area from the late 1970s until 2018. Unexpectedly, the results indicated that daytime LST in districts near the coastlines (heavily urbanized areas) are lower than the ones far away from the coast (about 9 °C). This observation represents the spatial LST inversion in the study area. Nevertheless, this difference was not observed during nighttime LST temporally, the daytime LST did not increase significantly during either summer or winter seasons. However, the nighttime LST has increased temporally by about 17% since 2000 (the temporal LST inversion). Both LST inversions could be attributed to the uniqueness of the study area, given that bare land desert was replaced by vegetation, high-rise buildings, and industrial activities. Additionally, the wind breeze blowing from the gulf might potentially contribute to cooling the coastal urban area during the daytime. Furthermore, in-depth zonal statistics were conducted to visualize the effect of land use on LST. The study observed that fully built-up areas with vegetation have lower LST than built-up areas without vegetation or a combination of sand and vegetation. The research outcomes are invaluable for decision-makers and researchers in achieving sustainable urban development.

Original languageEnglish (US)
Article number1893
JournalRemote Sensing
Volume14
Issue number8
DOIs
StatePublished - Apr 1 2022
Externally publishedYes

Keywords

  • GIS
  • hot climate region
  • land surface temperature
  • remote sensing
  • urban heat island
  • urbanization

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)

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