Assessment of thermal environment landscape over five megacities in China based on Landsat 8

Dan Meng; Siyao Yang; Huili Gong; Xiaojuan Li; Jing Zhang

doi:10.1117/1.JRS.10.026034

9 June 2016 Assessment of thermal environment landscape over five megacities in China based on Landsat 8

Dan Meng, Siyao Yang, Huili Gong, Xiaojuan Li, Jing Zhang

Author Affiliations +

Funded by: Science and Technology Program from Beijing Municipal Commission of Education

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 026034 (June 2016). https://doi.org/10.1117/1.JRS.10.026034

Abstract

The urban thermal environment is an important element for the urban ecological environment and climate. As megacities are affected by severe thermal environment, this paper selected Landsat 8 to retrieve land surface temperature (LST) studying the thermal environment of five megacities in China including Beijing, Shanghai, Guangzhou, Tianjin, and Chengdu. Three methods have been applied, quantifying the surface urban heat island intensity, landscape pattern metrics, and spatial autocorrelation. Three main conclusions have been drawn as follows. First, high-LST area is located in the central urban area. Second, the medium-temperature region is the most prevalent. The class-based and the landscape-based metrics can detect the pattern of thermal landscape. The fragmentation is low both in low and high temperature level classes. Third, global Moran’s I suggests there is spatial clustering of thermal landscape. Local Moran’s I map was able to detect several high-high and low-low clusters, which are the main types of thermal landscape.

Citation Download Citation

Dan Meng, Siyao Yang, Huili Gong, Xiaojuan Li, and Jing Zhang "Assessment of thermal environment landscape over five megacities in China based on Landsat 8," Journal of Applied Remote Sensing 10(2), 026034 (9 June 2016). https://doi.org/10.1117/1.JRS.10.026034

Published: 9 June 2016

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