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Remote Sensing for Land & Resources    2018, Vol. 30 Issue (3) : 136-142     DOI: 10.6046/gtzyyg.2018.03.19
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Application of local spatial autocorrelation indices to the delimitation of urban heat island
Zhenlan JIANG1, Zhenbin GONG2, Hui PAN3(), Baoyu ZHANG1, Tingfen WANG1
1. Department of Geographical Science, Minjiang University, Fuzhou 350108, China
2. Fuzhou Meterorological Service, Fuzhou 350008, China
3. Minjiang University, Fuzhou 350108, China
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Abstract  

In this paper, two spatial autocorrelation indices were used to delimit urban heat island in Fuzhou City in a statistical sense. The effectiveness and limitation of the two indices were then analyzed so as to find effective methods for quantitative study of urban heat island. At first, land surface temperature (LST) was retrieved on the basis of Landsat8 thermal infrared data of Fuzhou City by applying 6 methods that are frequently used. Then Local Moran’s I Index and Getis-Ord local G were used to delimit urban heat island in the study area. At last the different delimitation outcomes were compared with each other and were then compared with the outcomes obtained by other methods, including equal interval method, mean standard deviation method and regional average classification method. The findings are as follows: ① Both Local Moran’s I index and Getis-Ord local G accurately delimit urban heat island. By comparison, Getis-Ord local G is more accurate in heat island delimitation and is less dependent on methods of LST retrieval. It is more comparable with other heat island delimitation methods; ② The method applying Getis-Ord local G takes into account both surface temperature and spatial correlation of temperature, which makes the delimitation outcome statistically meaningful. With its threshold value free of human factors, the method is therefore more objective and more applicable in the quantitative study of urban heat island.
Keywords urban heat island      delimitation of urban heat island      local Moran's I index;      Getis-Ord local G     
:  TP79  
Corresponding Authors: Hui PAN     E-mail: 332088289@qq.com
Issue Date: 10 September 2018
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Zhenlan JIANG
Zhenbin GONG
Hui PAN
Baoyu ZHANG
Tingfen WANG
Cite this article:   
Zhenlan JIANG,Zhenbin GONG,Hui PAN, et al. Application of local spatial autocorrelation indices to the delimitation of urban heat island[J]. Remote Sensing for Land & Resources, 2018, 30(3): 136-142.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.03.19     OR     https://www.gtzyyg.com/EN/Y2018/V30/I3/136
Fig.1  Spatial distribution of land surface temperature in study area
反演算法 最小值 最大值 平均值 温差 标准差
IB 27.35 44.84 33.44 17.49 3.45
IMW 26.55 58.70 37.04 32.15 6.07
RTE 32.94 62.02 42.69 29.08 5.53
SC 33.15 63.89 43.33 30.74 5.82
SW_JM 27.54 54.84 36.35 27.30 5.11
SW_R 29.61 55.46 38.34 25.85 4.87
Tab.1  Statistical features of land surface temperature based on different retrieval methods(℃)
Fig.2  Spatial distribution of urban heat islands delimitated with local Moran’s I index and Getis-Ord local G
反演算法 Morans’I指数法 G系数法
热岛区 冷岛区 常温区 热岛区 冷岛区 常温区
IB 25.41 22.76 51.83 28.65 26.69 44.66
IMW 25.10 24.38 50.52 28.36 27.91 43.73
RTE 25.25 24.25 50.50 28.48 27.80 43.72
SC 25.17 24.37 50.46 28.40 27.85 43.75
SW_JM 25.69 24.95 49.36 29.03 28.74 42.23
SW_R 25.60 25.95 48.25 29.23 29.53 41.24
Tab.2  Statistics of urban heat islands delimitated(%)
Fig.3  Sensitivity of local Moran’s I index and Getis-Ord local G in retrieval methods of land surface temperature
Fig.4  Comparability of local spatial autocorrelation indices with other methods frequently used in delimitation of urban heat island
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