<p>As the continuous acceleration of urbanization, the influence of urban sprawl on the encroachment of different land-cover types and their land surface temperature has become a highly concerning subject. This study analyze variations of land surface temperature (LST) in a long time series from 2003 to 2022, especially differences between urban and other land cover types within the Guangdong-Hong Kong-Macao Greater Bay Area. Through analyzing the spatio-temporal patterns of different land uses, results show that grassland decreases annually, while forest and urban increase annually. LST of urban is differ from others in that a huge difference of up to 5&#xa0;℃ is observed between daytime LST of urban and forest, while there is little difference between urban areas and croplands. Moreover, the LST of water bodies and bare lands is higher than that of urban during nighttime. The study further demonstrates that urban expansion exacerbates the overall increase in surface temperature and the temperature differences among different land use types. This research provides valuable insights in understanding the impacts of LST dynamics on land use-cover change for the Bay area and other dense urban clusters, facilitating informed urban planning and climate adaptation strategies, allowing policymakers to plan land use scientifically and rationally.</p>

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Temperature variations across different land cover types under urbanization: a case study of the Guangdong-Hong Kong-Macao Greater Bay Area, China

  • Xuehui Xiong,
  • Guipeng Yu,
  • Zhuoyan Xian,
  • Yijia Zheng,
  • Ruizhe Guo,
  • Yihao Liu,
  • Weilin Liao

摘要

As the continuous acceleration of urbanization, the influence of urban sprawl on the encroachment of different land-cover types and their land surface temperature has become a highly concerning subject. This study analyze variations of land surface temperature (LST) in a long time series from 2003 to 2022, especially differences between urban and other land cover types within the Guangdong-Hong Kong-Macao Greater Bay Area. Through analyzing the spatio-temporal patterns of different land uses, results show that grassland decreases annually, while forest and urban increase annually. LST of urban is differ from others in that a huge difference of up to 5 ℃ is observed between daytime LST of urban and forest, while there is little difference between urban areas and croplands. Moreover, the LST of water bodies and bare lands is higher than that of urban during nighttime. The study further demonstrates that urban expansion exacerbates the overall increase in surface temperature and the temperature differences among different land use types. This research provides valuable insights in understanding the impacts of LST dynamics on land use-cover change for the Bay area and other dense urban clusters, facilitating informed urban planning and climate adaptation strategies, allowing policymakers to plan land use scientifically and rationally.