1. Department of Geographical Science, Minjiang University, Fuzhou 350108, China 2. Fuzhou Meterorological Service, Fuzhou 350008, China 3. Minjiang University, Fuzhou 350108, China
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.
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2018, Vol. 30 
), 张宝玉1, 王婷芬1
