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This chapter analyzed the urban landscape change and surface temperature evolution of the Guanzhong Plain urban agglomeration from 2000 to 2018. The relationship between urban landscape and surface temperature is analyzed using the standard deviation ellipse and the elastic net regression algorithm. The results show that (1) both day and night, high-temperature zones are clustering, while the expansion of construction land occurs mainly in the north-central part of the plain; thus, the two are homogeneous to a certain extent. (2) The farmland, water, construction land, and rural settlements show positive temperature contributions regardless of day and night, while forestland and grasslands always have negative temperature contributions.

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Spatiotemporal Patterns of Landscapes and Surface Temperature

  • 章节

  • 发表日期：

    2025年

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  • Liang Zhou,
  • Bo Yuan,
  • David López-Carr,
  • Fengning Hu

摘要

This chapter analyzed the urban landscape change and surface temperature evolution of the Guanzhong Plain urban agglomeration from 2000 to 2018. The relationship between urban landscape and surface temperature is analyzed using the standard deviation ellipse and the elastic net regression algorithm. The results show that (1) both day and night, high-temperature zones are clustering, while the expansion of construction land occurs mainly in the north-central part of the plain; thus, the two are homogeneous to a certain extent. (2) The farmland, water, construction land, and rural settlements show positive temperature contributions regardless of day and night, while forestland and grasslands always have negative temperature contributions.