4.7 Article

Urban Heat Island Formation in Greater Cairo: Spatio-Temporal Analysis of Daytime and Nighttime Land Surface Temperatures along the Urban-Rural Gradient

期刊

REMOTE SENSING
卷 13, 期 7, 页码 -

出版社

MDPI
DOI: 10.3390/rs13071396

关键词

urban heat island; MODIS LST; GEE; machine learning; daytime and nighttime; Greater Cairo; impervious surface

资金

  1. JSPS [18H00763]
  2. Grants-in-Aid for Scientific Research [18H00763] Funding Source: KAKEN

向作者/读者索取更多资源

Studying urban heat islands is crucial as urban land surface and heat island research are closely related. Temperature differences between urban and rural areas are influenced by building and green space coverage, with significant variations between day and night temperatures. The quality of life for urban residents is impacted by heatwaves, and urban planning should take steps to alleviate the urban heat island effect.
An urban heat island (UHI) is a significant anthropogenic modification of urban land surfaces, and its geospatial pattern can increase the intensity of the heatwave effects. The complex mechanisms and interactivity of the land surface temperature in urban areas are still being examined. The urban-rural gradient analysis serves as a unique natural opportunity to identify and mitigate ecological worsening. Using Landsat Thematic Mapper (TM), Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) and Moderate Resolution Imaging Spectroradiometer (MODIS), Land Surface Temperature (LST) data in 2000, 2010, and 2019, we examined the spatial difference in daytime and nighttime LST trends along the urban-rural gradient in Greater Cairo, Egypt. Google Earth Engine (GEE) and machine learning techniques were employed to conduct the spatio-temporal analysis. The analysis results revealed that impervious surfaces (ISs) increased significantly from 564.14 km(2) in 2000 to 869.35 km(2) in 2019 in Greater Cairo. The size, aggregation, and complexity of patches of ISs, green space (GS), and bare land (BL) showed a strong correlation with the mean LST. The average urban-rural difference in mean LST was -3.59 degrees C in the daytime and 2.33 degrees C in the nighttime. In the daytime, Greater Cairo displayed the cool island effect, but in the nighttime, it showed the urban heat island effect. We estimated that dynamic human activities based on the urban structure are causing the spatial difference in the LST distribution between the day and night. The urban-rural gradient analysis indicated that this phenomenon became stronger from 2000 to 2019. Considering the drastic changes in the spatial patterns and the density of IS, GS, and BL, urban planners are urged to take immediate steps to mitigate increasing surface UHI; otherwise, urban dwellers might suffer from the severe effects of heatwaves.

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