Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images

2014 ◽  
Vol 42 (4) ◽  
pp. 829-837 ◽  
Author(s):  
Yusuf Ahmed Yusuf ◽  
Biswajeet Pradhan ◽  
Mohammed O. Idrees
Keyword(s):  
Urban Heat Island ◽  
Heat Island ◽  
Kuala Lumpur ◽  
Landsat Images ◽  
Metropolitan City ◽  
Urban Heat ◽  
Spatio Temporal ◽  
Temporal Assessment

A qualitative exploration on the awareness and knowledge of stakeholders towards Urban Heat Island phenomenon in Greater Kuala Lumpur: Critical insights for urban policy implications

2019 ◽  
Vol 86 ◽  
pp. 28-37 ◽  
Author(s):  
Logaraj Ramakreshnan ◽  
Nasrin Aghamohammadi ◽  
Chng Saun Fong ◽  
Amirhosein Ghaffarianhoseini ◽  
Li Ping Wong ◽  
...  
Keyword(s):  
Urban Heat Island ◽  
Urban Policy ◽  
Policy Implications ◽  
Heat Island ◽  
Kuala Lumpur ◽  
Urban Heat ◽  
Qualitative Exploration

scholarly journals A Spatio-Temporal Bayesian Model for Estimating the Effects of Land Use Change on Urban Heat Island

2019 ◽  
Vol 8 (12) ◽  
pp. 522 ◽  
Author(s):  
Xin Liu ◽  
Zuolin Xiao ◽  
Rui Liu
Keyword(s):  
Land Use ◽  
Urban Heat Island ◽  
Southwest China ◽  
Regional Scale ◽  
Heat Island ◽  
Bayesian Hierarchical ◽  
Temporal Autocorrelation ◽  
Urban Heat ◽  
Spatio Temporal ◽  
The Difference

The urban heat island (UHI) phenomenon has been identified and studied for over two centuries. As one of the most important factors, land use, in terms of both composition and configuration, strongly influences the UHI. As a result of the availability of detailed data, the modeling of the residual spatio-temporal autocorrelation of UHI, which remains after the land use effects have been removed, becomes possible. In this study, this key statistical problem is tackled by a spatio-temporal Bayesian hierarchical model (BHM). As one of the hottest areas in China, southwest China is chosen as our study area. Results from this study show that the difference of UHI levels between different cities in southwest China becomes large from 2000 to 2015. The variation of the UHI level is dominantly driven by temporal autocorrelation, rather than spatial autocorrelation. Compared with the composition of land use, the configuration has relatively minor influence upon UHI, due to the terrain in the study area. Furthermore, among all land use types, the water body is the most important UHI mitigation factor at the regional scale.

Characteristics of the urban heat island in a high-altitude metropolitan city, Ulaanbaatar, Mongolia

2013 ◽  
Vol 49 (4) ◽  
pp. 535-541 ◽  
Author(s):  
Gantuya Ganbat ◽  
Ji-Young Han ◽  
Young-Hee Ryu ◽  
Jong-Jin Baik
Keyword(s):  
High Altitude ◽  
Urban Heat Island ◽  
Heat Island ◽  
Metropolitan City ◽  
Urban Heat
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