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摘要： 利用环境星1A/1B遥感影像,运用Jiménez-Munoz & Sobrino's普适性单通道算法定量反演广州市的地表温度(Land Surface Temperature,LST) ,结合MNF主成分分析和支持向量机获取的不透水面分布格局,利用面向对象分类方法获得了土地利用覆盖情况,重点研究广州市不透水面、土地覆盖和植被指数与城市热环境的定量关系。研究结果显示:基于大气水汽含量实测数据的JM&S普适性单通道算法反演结果更精确；广州市2009~2011年的不透水面面积和土地覆盖与平均地表温度相关性分析表明:广州市连续3 a呈现城市扩张的现象,城市热效应显著加剧；城市平均地表温度与不透水面面积呈现正相关,与城市的植被指数和裸土指数呈现负相关。 关键词： LST;  JM&S普适性单通道算法;  不透水面;  土地利用覆盖;  植被指数;  裸土指数     Abstract: Taking Guangzhou city as the study area,Land Surface Temperature(LST) was calculated by a generalized single-channel algorithm,which was proposed by Jiménez-Munoz & Sobrino’s,basing on the HJ-1A-B thermal infrared data.At the same time,the information of impervious surface area(%ISA) was obtained by one of the Principal Component Analysis-called MNF and the support vector machine.The land use situation,as well as the land cover types,was categorized by the method of orient.After that,the spatial distribution characteristic of UHI(Urban Heat Island) in the study area and its relationship with the land cover types and other affecting factors(including the %ISA,NDVI and Grass) were studied quantitatively.The research result shows that,compared with other single channel methods,the method of JM&S can retrieve the LST well In additional,the LST distribution in Guangzhou is correlated positively to the area of ％ISA,but negatively to NDVI and GRABS information.In all,as the urban expansion of Guangzhou,the UHI is corresponding sprawling,and this phenomenon will keep getting worse and worse.

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