基于MODIS数据的上海市热岛效应的遥感研究

摘要

对2000,2005,2011年MODIS L1B数据,采用分裂窗算法定量反演了上海市地表温度,对上海市的热岛空间分布特征及规律,以及季节变化进行研究,分析了植被覆盖指数与地表温度之间的关系.研究结果表明,从2000年到2011年的11年间,上海高温区面积出现先增大后减小的过程.从高温区的四季分布来看,冬季高温区出现面积最小,而春夏高温区的面积最大,约占整个上海面积的一半.上海的春夏秋3季,植被指数与地面温度呈负相关关系,且相关系数大于0.6.因此可以通过增加绿化面积来减缓上海城市热岛效应.%Based on MODIS data of year 2000, 2005 and 2011 of Shanghai City, China, land surface temperature( LST) was retrieved with split window algorithm and it is used to learn the spatial characters and quarterly variations of urban island heat of Shanghai, the correlation between vegatation cover index and LST was analysed as well. Results show that the area with high LST increased first and then decresed during the last 11 years from 2000 to 2011. The distribution of the area with high LST of four season showed that winter had the least area of high LST, while spring and summer had the largest one, wich was about half of the area of Shanghai. Significantly negative correlation between vegatation cover and LST with cofficiences above 0.6in spring, summer and autumn was found. Thus, in creasing the green area can reduce the urban island heat of Shanghai.