Theoretical and Applied Climatology

, Volume 127, Issue 3–4, pp 965–975

Land surface temperature shaped by urban fractions in megacity region

  • Xiaoxuan Zhang
  • Yonghong Hu
  • Gensuo Jia
  • Meiting Hou
  • Yanguo Fan
  • Zhongchang Sun
  • Yuxiang Zhu
Original Paper

DOI: 10.1007/s00704-015-1683-8

Cite this article as:
Zhang, X., Hu, Y., Jia, G. et al. Theor Appl Climatol (2017) 127: 965. doi:10.1007/s00704-015-1683-8

Abstract

Large areas of cropland and natural vegetation have been replaced by impervious surfaces during the recent rapid urbanization in China, which has resulted in intensified urban heat island effects and modified local or regional warming trends. However, it is unclear how urban expansion contributes to local temperature change. In this study, we investigated the relationship between land surface temperature (LST) change and the increase of urban land signals. The megacity of Tianjin was chosen for the case study because it is representative of the urbanization process in northern China. A combined analysis of LST and urban land information was conducted based on an urban–rural transect derived from Landsat 8 Thermal Infrared Sensor (TIRS), Terra Moderate Resolution Imaging Spectrometer (MODIS), and QuickBird images. The results indicated that the density of urban land signals has intensified within a 1-km2 grid in the urban center with an impervious land fraction >60 %. However, the construction on urban land is quite different with low-/mid-rise buildings outnumbering high-rise buildings in the urban–rural transect. Based on a statistical moving window analysis, positive correlation (R2 > 0.9) is found between LST and urban land signals. Surface temperature change (ΔLST) increases by 0.062 °C, which was probably caused by the 1 % increase of urbanized land (ΔIF) in this case region.

Funding information

Funder NameGrant NumberFunding Note
CAS Strategic Research Program
  • XDA05090203
National Natural Science Foundation of China (CN)
  • 41405064
  • 41201044
One-Three-Five Strategic Planning by the Institute of Remote sensing and Digital Earth, CAS
  • Y4SG0500CX
China Meteorological Administration Special Public Welfare Research Fund
  • GYHY201406020

Copyright information

© Springer-Verlag Wien 2015

Authors and Affiliations

  • Xiaoxuan Zhang
    • 1
    • 2
  • Yonghong Hu
    • 1
  • Gensuo Jia
    • 3
  • Meiting Hou
    • 4
  • Yanguo Fan
    • 2
  • Zhongchang Sun
    • 1
  • Yuxiang Zhu
    • 4
  1. 1.Key Laboratory of Digital Earth Science, Chinese Academy of SciencesInstitute of Remote Sensing and Digital EarthBeijingChina
  2. 2.School of GeosciencesChina University of PetroleumQingdaoChina
  3. 3.Key Laboratory of Regional Climate-Environment for East Asia, Chinese Academy of SciencesInstitute of Atmospheric PhysicsBeijingChina
  4. 4.China Meteorological Administration Training CentreBeijingChina

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