城市不透水面及地表温度的遥感估算

Remote sensing estimating of urban impervious surface area and land surface temperature

基于植被-不透水面-土壤模型和全约束最小二乘法混合像元分解模型,从探索城市热岛效应和城市不透水面关系出发,利用TM数据对北京市海淀区的城市不透水面丰度和地表温度进行估算,并在此基础上对二者之间的相关性进行定性分析和定量评价。研究表明:城市不透水面的空间分布和变化趋势与地表温度之间存在明显的一致性,二者相关系数达到0.752 5,这说明城市不透水面信息可以很好地反映城市热环境的空间分布状况。

This paper aimed at exploring the relationship between the impervious surfaces area （ ISA） and the land surface temperature （ LST） , and estimating ISA and LST in Haidian District, Beijing by using TM remote sensing data based on the vegetation -impervious surfacesoil （ V -I -S ） model and the mixed pixel decomposition method of fully constrained least squares （FCLS）. Furthermore, qualitative analysis and quantitative evaluation were made based on the estimated results. It can be found that there exists an obvious consistency between the spatial distribution and the variation trend of urban ISA and LST, with the correlation coefficient being 0. 752 5. The ISA information could be a better indicator to reflect the spatial distribution of heat flux in urban environment.