Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China.
Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China.
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DOI：
10.1016/s1001-0742(07)60041-2
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发表时间：
2007-02
影响因子：
6.9
通讯作者：
R. Xiao;Z. Ouyang;Hua Zheng;Wei-feng Li;Erich W. Schienke;Xiao-ke Wang
中科院分区：
文献类型：
--
作者：
R. Xiao;Z. Ouyang;Hua Zheng;Wei-feng Li;Erich W. Schienke;Xiao-ke Wang
地表温度是城市环境分析中的一个重要参数，受城市地表结构的影响较大。研究了北京地区不透水地表空间格局对地表温度的影响。中国。采用分类回归树模型（classification and regression tree model， CART），利用两个季节的Landsat影像结合QuickBird对IS作为连续变量进行估计。从Landsat Thematic Mapper （TM）图像中检索地表温度，以检验IS和地表温度之间的关系。结果表明，CART能较好地预测地表温度（相关系数为0.94，平均误差为8.59%）。在不同的城乡样带上，IS的空间格局呈现梯度变化，LST值呈同心圆形状，从郊区向市中心移动，LST值越高。样条分析还表明，在不同分辨率水平上，IS和LST模式的变化相似，表明两者之间存在明显的线性关系。相关分析结果进一步表明，IS与LST呈正相关趋势，相关系数随IS像元大小的增加从0.807增加到0.925。本研究的发现为改善城市规划工作，降低城市温度，从而抑制城市热岛效应提供了理论基础。
Land surface temperature (LST), which is heavily influenced by urban surface structures, is a significant parameter in urban environmental analysis. This study examined the effect impervious surfaces (IS) spatial patterns have on LST in Beijing. China. A classification and regression tree model (CART) was adopted to estimate IS as a continuous variable using Landsat images from two seasons combined with QuickBird. LST was retrieved from the Landsat Thematic Mapper (TM) image to examine the relationships between IS and LST. The results revealed that CART was capable of consistently predicting LST with acceptable accuracy (correlation coefficient of 0.94 and the average error of 8.59%). Spatial patterns of IS exhibited changing gradients across the various urban-rural transects, with LST values showing a concentric shape that increased as you moved from the outskirts towards the downtown areas. Transect analysis also indicated that the changes in both IS and LST patterns were similar at various resolution levels, which suggests a distinct linear relationship between them. Results of correlation analysis further showed that IS tended to be positively correlated with LST, and that the correlation coefficients increased from 0.807 to 0.925 with increases in IS pixel size. The findings identified in this study provide a tneoretical basis for improving urban planning efforts to lessen urban temperatures and thus dampen urban heat island effects.