不透水地表作为城市土地覆盖类型的重要组分,其分布格局与密度大小对城市生态系统服务功能会产生相反且决定性的作用,其中对地表的增温效应是城市热岛问题关注的核心内容。本研究通过线性光谱混合分解模型提取城市不透水地表,基于Landsat TM6热红外波段数据的单窗算法反演地表温度,并进行两者的关系研究。结果表明:城市不透水地表与地温空间分布格局呈现高度相似性,其数值都随距城市中心距离增加而逐渐减小,定量分析表明两者具有明显的指数相关关系。
As one of the most part of land cover in urban area , Information about the extent of impervious surface and its rate of devel-opment would play an opposite and decisive role to the city ecosystem service function , from which, the warming effect on the surface is the central issue of urban heat island .In this paper, we developed the method of Linear Spectral Mixture Analysis (LSMA) to map impervious surface and used Mono -window algorithm for retrieving land surface temperature from Landsat TM 6 data, and then ana-lysed its quantitative relationship .Research indicates that:the spatial pattern of impervious and land surface temperature shows high similarity, as both present a regular decrease from central to suburbs with distance .Quantitative analysis results show that they have obvious exponential correlation .