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Journal of Applied Remote Sensing

Assessment of thermal environment landscape over five megacities in China based on Landsat 8
Author(s): Dan Meng; Siyao Yang; Huili Gong; Xiaojuan Li; Jing Zhang
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Paper 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.

Paper Details

Date Published: 9 June 2016
PDF: 14 pages
J. Appl. Rem. Sens. 10(2) 026034 doi: 10.1117/1.JRS.10.026034
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Dan Meng, Capital Normal Univ. (China)
Siyao Yang, Capital Normal Univ. (China)
Huili Gong, Capital Normal Univ. (China)
Xiaojuan Li, Capital Normal Univ. (China)
Jing Zhang, Capital Normal Univ. (China)

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