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The temporal dynamics of urban heat islands derived from thermal remote sensing data by local indicator of spatial association in Shenzhen, China

机译:基于空间关联的当地指标的热遥感数据推导的城市热岛的时空动态

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Urban heat island effect is a hotspot in the study of ecological effects caused by urbanization. Monitoring and modeling urban heat islands (UHIs) has been a key issue of urban climate studies. The method from climatology is not suitable for modeling urban heat islands in multiple centers cities. In this study, we used the thermal infrared data acquired from Landsat TM and ETM+ images in 1986, 1995, 2000 and 2005 in Shenzhen, a rapidly urbanizing area in China. The surface temperatures were retrieved by the Jimenez-Munoz and Sobrino's single-channel method. An approach based on the local indicator of spatial association (LISA) was provided to retrieve UHIs for representing the character of energy aggregation. The urban heat islands were different from the high temperature areas (HTAs) derived by standard derivation method. The characteristics were compared by the differences on magnitude and statistical characteristics of UHIs and HTAs. Temporal dynamics in the spatial patterns were described using the spatial Lorenz curve. Analysis suggested that the mean temperature of UHIs increased from 1986 to 2005, whereas the differences between UHIs and surrounding areas decreased. The spatial patterns of UHIs changed from aggregation to average distribution, then to aggregation.
机译:城市热岛效应是城市化引起的生态效应研究的热点。监测和建模城市热岛(UHIs)一直是城市气候研究的关键问题。气候学方法不适用于对多个中心城市的城市热岛进行建模。在这项研究中,我们使用了从1986年,1995年,2000年和2005年的Landsat TM和ETM +图像中获取的红外热数据,该数据是中国一个快速城市化的地区。表面温度通过Jimenez-Munoz和Sobrino的单通道方法获得。提供了一种基于空间关联的本地指示符(LISA)的方法来检索UHI,以表示能量聚集的特征。城市热岛不同于通过标准推导方法得出的高温区域(HTA)。通过UHIs和HTAs的大小和统计特征上的差异比较了这些特征。使用空间洛伦兹曲线描述了空间格局中的时间动态。分析表明,UHIs的平均温度从1986年到2005年有所增加,而UHIs与周围地区之间的差异却有所减小。 UHI的空间格局从聚集变为平均分布,然后变为聚集。

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