Remote Sensing Applications and Decision Support

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

[+] Author Affiliations
Dan Meng, Siyao Yang, Huili Gong, Xiaojuan Li, Jing Zhang

Capital Normal University, College of Resources Environment and Tourism, No. 105 Xisanhuan Beilu, Haidian District, Beijing 100048, China

Urban Environmental Processes and Digital Modeling Laboratory, No. 105 Xisanhuan Beilu, Haidian District, Beijing 100048, China

Beijing Laboratory of Water Resource Security, No. 105 Xisanhuan Beilu, Haidian District, Beijing 100048, China

Beijing Municipal Key Laboratory of Resources Environment and GIS, No. 105 Xisanhuan Beilu, Haidian District, Beijing 100048, China

J. Appl. Remote Sens. 10(2), 026034 (Jun 09, 2016). doi:10.1117/1.JRS.10.026034
History: Received January 15, 2016; Accepted April 5, 2016
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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.

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© 2016 Society of Photo-Optical Instrumentation Engineers

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", J. Appl. Remote Sens. 10(2), 026034 (Jun 09, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026034


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