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Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
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Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China

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Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China
Journal Article

Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China

2017
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Overview
The urban heat island (UHI) effect exerts a great influence on the Earth’s environment and human health and has been the subject of considerable attention. Landscape patterns are among the most important factors relevant to surface UHIs (SUHIs); however, the relationship between SUHIs and landscape patterns is poorly understood over large areas. In this study, the surface UHI intensity (SUHII) is defined as the temperature difference between urban and suburban areas, and the landscape patterns are quantified by the urban-suburban differences in several typical landscape metrics (ΔLMs). Temperature and land-cover classification datasets based on satellite observations were applied to analyze the relationship between SUHII and ΔLMs in 332 cities/city agglomerations distributed in different climatic zones of China. The results indicate that SUHII and its correlations with ΔLMs are profoundly influenced by seasonal, diurnal, and climatic factors. The impacts of different land-cover types on SUHIs are different, and the landscape patterns of the built-up and vegetation (including forest, grassland, and cultivated land) classes have the most significant effects on SUHIs. The results of this study will help us to gain a deeper understanding of the relationship between the SUHI effect and landscape patterns.

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