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<p>This study explores the influence of urban landscape characteristics, particularly land use and vegetation cover, on land surface temperature in three industrial urban areas in Jordan. Utilizing a mixed-method approach that combines quantitative analysis and qualitative case studies, the research relies on ground-based and remotely sensed data, including Landsat-8 Thematic Mapper images from 2022. The three case study areas—Zarqa, Abu-Alanda, and Sahab—were categorized based on the extent of green spaces. The findings reveal that residential and industrial areas impact LST differently, depending on their spatial arrangement and proximity. Larger green spaces were found to have the highest cooling effect, with high vegetation areas (7% green cover) reducing LST by 26% at the farthest measured point, compared to medium vegetation areas (2% green cover), which showed a 14% reduction. Smaller green areas demonstrated lower cooling intensities. The study underscores the critical role of urban green spaces in mitigating the urban heat island effect, enhancing climate resilience, and fostering sustainable urban environments. It emphasizes the integration of green spaces into urban planning as a key strategy to improve environmental conditions and the well-being of residents. These findings provide actionable insights for policymakers and urban planners aiming to create more sustainable, livable, and climate-resilient cities.</p>

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Analyzing urban landscapes and land surface temperature for sustainable development in industrial zones

  • 期刊论文

  • 发表日期：

    2025年2月24日

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  • R. Al Shawabkeh,
  • L. Al-Hawwari,
  • A. Al-Fugara,
  • K. Saleem,
  • A. Smerat,
  • L. Abualigah

摘要

This study explores the influence of urban landscape characteristics, particularly land use and vegetation cover, on land surface temperature in three industrial urban areas in Jordan. Utilizing a mixed-method approach that combines quantitative analysis and qualitative case studies, the research relies on ground-based and remotely sensed data, including Landsat-8 Thematic Mapper images from 2022. The three case study areas—Zarqa, Abu-Alanda, and Sahab—were categorized based on the extent of green spaces. The findings reveal that residential and industrial areas impact LST differently, depending on their spatial arrangement and proximity. Larger green spaces were found to have the highest cooling effect, with high vegetation areas (7% green cover) reducing LST by 26% at the farthest measured point, compared to medium vegetation areas (2% green cover), which showed a 14% reduction. Smaller green areas demonstrated lower cooling intensities. The study underscores the critical role of urban green spaces in mitigating the urban heat island effect, enhancing climate resilience, and fostering sustainable urban environments. It emphasizes the integration of green spaces into urban planning as a key strategy to improve environmental conditions and the well-being of residents. These findings provide actionable insights for policymakers and urban planners aiming to create more sustainable, livable, and climate-resilient cities.