Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (3): 60-68.doi: 10.13474/j.cnki.11-2246.2021.0079

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Land surface temperature inversion and change analysis of Dongguan using Landsat images

CHEN Minghui   

  1. Dongguan Geographic Information & Urban Planning Research Center, Dongguan 523129, China
  • Received:2020-04-22 Online:2021-03-25 Published:2021-04-02

Abstract: With the rapid urbanization process, a large number of construction land has been added in some cities along the southeast coast of China, and the urban human settlements have been affected causing urban thermal environment problems. It is of great practical significance for the sustainable development of cities and the improvement of the quality of human settlements to study the spatial and temporal distribution and change characteristics of urban thermal environment and analyze the causes of changes. In this paper, taking 8 temporal Landsat satellite images from 1986 to 2017 as data sources, the surface temperature of Dongguan city is quantitatively inversed by single channel algorithm, and the spatial-temporal distribution pattern and change characteristics of the thermal environment of Dongguan city are analyzed and the influencing factors are analyzed. The results show that in the past 30 years, the urban thermal environment in Dongguan city has developed from scattered point distribution to belt distribution along the main traffic routes; the surface temperature in the town/street center of Dongguan city is significantly higher than that in the suburbs and villages, and there is a strong heat island effect; the proportion index of heat island in Dongguan city has an overall upward trend, from 0.06 in 1986 rose to 0.15 in 2017, with the highest heat island effect in Dongguan in 2009. The results of the study are of great significance to the rational planning of Dongguan city construction and the sustainable development of urban construction.

Key words: urban thermal environment, single channel algorithm, Dongguan, Landsat satellite image, surface temperature

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