Assessment of Surface Urban Heat Island in Three Cities Surrounded by Different Types of Land-Cover Using Satellite Images

2018 ◽  
Vol 46 (7) ◽  
pp. 1013-1022 ◽  
Author(s):  
Shahabeddin Sherafati ◽  
M. R. Saradjian ◽  
Amirhossein Rabbani
Keyword(s):  
Land Cover ◽  
Urban Heat Island ◽  
Satellite Images ◽  
Heat Island ◽  
Different Types ◽  
Urban Heat ◽  
Surface Urban Heat Island

scholarly journals Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images

2019 ◽  
Vol 16 (6) ◽  
pp. 971 ◽  
Author(s):  
Tao Chen ◽  
Anchang Sun ◽  
Ruiqing Niu
Keyword(s):  
Land Cover ◽  
Urban Heat Island ◽  
Land Surface ◽  
Urban Heat Islands ◽  
Urban Heat Island Intensity ◽  
Heat Island ◽  
Impervious Surfaces ◽  
Heat Islands ◽  
Urban Heat ◽  
Surface Urban Heat Island

Man-made materials now cover a dominant proportion of urban areas, and such conditions not only change the absorption of solar radiation, but also the allocation of the solar radiation and cause the surface urban heat island effect, which is considered a serious problem associated with the deterioration of urban environments. Although numerous studies have been performed on surface urban heat islands, only a few have focused on the effect of land cover changes on surface urban heat islands over a long time period. Using six Landsat image scenes of the Metropolitan Development Area of Wuhan, our experiment (1) applied a mapping method for normalized land surface temperatures with three land cover fractions, which were impervious surfaces, non-chlorophyllous vegetation and soil and vegetation fractions, and (2) performed a fitting analysis of fierce change areas in the surface urban heat island intensity based on a time trajectory. Thematic thermal maps were drawn to analyze the distribution of and variations in the surface urban heat island in the study area. A Multiple Endmember Spectral Mixture Analysis was used to extract the land cover fraction information. Then, six ternary triangle contour graphics were drawn based on the land surface temperature and land cover fraction information. A time trajectory was created to summarize the changing characteristics of the surface urban heat island intensity. A fitting analysis was conducted for areas showing fierce changes in the urban heat intensity. Our results revealed that impervious surfaces had the largest impacts on surface urban heat island intensity, followed by the non-chlorophyllous vegetation and soil fraction. Moreover, the results indicated that the vegetation fraction can alleviate the occurrence of surface urban heat islands. These results reveal the impact of the land cover fractions on surface urban heat islands. Urban expansion generates impervious artificial objects that replace pervious natural objects, which causes an increase in land surface temperature and results in a surface urban heat island.

scholarly journals Derivation of Birmingham's summer surface urban heat island from MODIS satellite images

2010 ◽  
Vol 32 (2) ◽  
pp. 214-224 ◽  
Author(s):  
C. J. Tomlinson ◽  
L. Chapman ◽  
J. E. Thornes ◽  
C. J. Baker
Keyword(s):  
Urban Heat Island ◽  
Satellite Images ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
Modis Satellite Images

scholarly journals Surface Urban Heat Island Analysis of Shanghai (China) Based on the Change of Land Use and Land Cover

2017 ◽  
Vol 9 (9) ◽  
pp. 1538 ◽  
Author(s):  
Haiting Wang ◽  
Yuanzhi Zhang ◽  
Jin Tsou ◽  
Yu Li
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Heat Island ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island

Bi-temporal Monitoring the Spatial Pattern and Variations of the Surface Urban Heat Island in three Chinese Coastal Megacities: A Comparative Study of Guangzhou, Hangzhou, and Shanghai.

2020 ◽  
Author(s):  
Fei Liu
Keyword(s):  
Land Cover ◽  
Urban Heat Island ◽  
Hot Spots ◽  
Land Surface ◽  
Urban Expansion ◽  
Spatial Regression ◽  
Heat Island ◽  
Thermal Environments ◽  
Urban Heat ◽  
Surface Urban Heat Island

<p>The side-effect of booming urbanization on the ecosystem and climate system has been continuously exacerbating. The coastal metropolises are located at the interface between land and ocean, unavoidably influenced by multiple aspects of the terrestrial environments, aquatic ecosystems, and urban developments. Thus, the environmental health of coastal metropolis should be more concerned. In this study, targeting Guangzhou, Hangzhou, and Shanghai, an attempt was made to evaluate the spatiotemporal patterns and variations of surface urban heat island (SUHI) in three coastal metropolises of China based on Landsat-derived land surface temperatures (LST) and land cover data. The results indicate that overall, within a nearly 15-year interval, the extents of hot spots in three metropolises were significantly expanded, the spatial patterns of SUHI have been transformed from monocentric to polycentric high-LST clusters, which were identical to the trend of urban expansion. However,  these three metropolises possess distinct features in terms of the thermal layouts and land cover/use composition. Although the total area of SUHI hot spots in Shanghai has surged, the intensity of some hot spots has been a shrink. Besides, the interactions and associations between SUHI and urban development were investigated using spatial regression analysis. The urban composition and configuration considerably affected the intensity of SUHI. Terrain morphology constrained the SUHI. Prolific population growth had a continuing effect on SUHI formation. The proportion of forests displayed a consistently critical influence on easing the adverse of SUHI. Additionally, it is essential to appropriately consider the impacts of water in the comparative analysis of different thermal environments. However, water might be treated as a time-invariant factor and have a limited effect on the bi-temporal comparison for each metropolis. These findings suggest the policy-makers and urban planners should balance and optimize the land cover/use configurations with accommodating the increasing population, reasonably maximize the reservations of the greenbelt and green space under improving the utilization of urban infrastructures and constructions.</p>

Studying spatial-temporal changes and relationship of land cover and surface Urban Heat Island derived through remote sensing in Yerevan, Armenia

2021 ◽  
Vol 187 ◽  
pp. 107390
Author(s):  
Garegin Tepanosyan ◽  
Vahagn Muradyan ◽  
Azatuhi Hovsepyan ◽  
Gleb Pinigin ◽  
Andrey Medvedev ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Urban Heat Island ◽  
Temporal Changes ◽  
Heat Island ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
Relationship Of

scholarly journals Investigations of Surface Urban Heat Island Effect Based on Local Climate Zone Method: A Case of Xi'an

2019 ◽  
Vol 136 ◽  
pp. 05011
Author(s):  
Kaikai Mu ◽  
Yan Liu ◽  
Moyan Zhang ◽  
Bing Han ◽  
Liu Yang
Keyword(s):  
Land Cover ◽  
Urban Heat Island ◽  
Urban Form ◽  
Heat Island ◽  
Zone Method ◽  
Climate Zone ◽  
Local Climate ◽  
Urban Heat ◽  
Surface Urban Heat Island ◽  
Local Climate Zone

Urbanization seriously affects the urban climate and the quality of human settlement. Based on Landsat8 remote sensing and building vector data, local climate zone (LCZ) method is employed to study the influences of urban form on land surface temperature (LST) of Xi'an. The results confirmed that the LST of the built-up LCZ is higher than the land cover LCZ. In built-up LCZ, LST is increasing with the increasing of building density. In land cover LCZ, the LST of bare land is the highest. Surface urban heat island (SUHI) of 14 samples in LCZ also been calculated. Highest SUHI intensity is found in low-rise buildings with high density area. LST intensity of water body and forest are lower than others in land cover LCZ.

scholarly journals Understanding the Role of Optimized Land Use/Land Cover Components in Mitigating Summertime Intra-Surface Urban Heat Island Effect: A Study on Downtown Shanghai, China

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1678 ◽  
Author(s):  
Yan-jun Guo ◽  
Jie-jie Han ◽  
Xi Zhao ◽  
Xiao-yan Dai ◽  
Hao Zhang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Urban Heat Island ◽  
Land Development ◽  
Partial Least Square ◽  
Landsat 8 ◽  
Heat Island ◽  
Land Use Land Cover ◽  
Urban Heat ◽  
Surface Urban Heat Island

In this study, 167 land parcels of downtown Shanghai, China, were used to investigate the relationship between parcel-level land use/land cover (LULC) components and associated summertime intra-surface urban heat island (SUHI) effect, and further analyze the potential of mitigating summertime intra-SUHI effect through the optimized LULC components, by integrating a thermal sharpening method combining the Landsat-8 thermal band 10 data and high-resolution Quickbird image, statistical analysis, and nonlinear programming with constraints. The results show the remarkable variations in intra-surface urban heat island (SUHI) effect, which was measured with the mean parcel-level blackbody sensible heat flux in kW per ha (Mean_pc_BBF). Through measuring the relative importance of each specific predictor in terms of their contributions to changing Mean_pc_BBF, the influence of parcel-level LULC components on excess surface flux of heat energy to the atmosphere was estimated using the partial least square regression (PLSR) model. Analysis of the present and optimized parcel-level LULC components and their contribution to the associated Mean_pc_BBF were comparable between land parcels with varying sizes. Furthermore, focusing on the gap between the present and ideally optimized area proportions of parcel-level LULC components towards minimizing the Mean_pc_BBF, the uncertainties arising from the datasets and methods, as well as the implications for sustainable land development and mitigating the UHI effect were discussed.

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