【摘要】 以徐州市为例,以TM影像为主要信息源,利用ERDAS IMAGINE遥感图像处理软件,将1987年,1995年及2000年徐州市的遥感图像进行一系列的校正与降噪处理,SAVI植被指数的提取,波段的合成与非监督分类,最后与降雨数据相结合,对徐州市的土壤水分与降雨的时空相关性进行分析。这种土壤水分与降雨的时空相关性分析,可以通过降雨数据,预测一段时期内的土壤中水分的变化,有利于对城市小气候的变化、泥石流灾害的预测,也有利于城市的生态建设。更多还原

【Abstract】 Based on Xuzhou and using TM images as the main information source,the paper calibrates and de-noises the remote sensing images of Xuzhou in 1987,1995 and 2000 using ERDAS IMAGINE remote sensing images processing software.Through the extraction of SAVI vegetation index and composition and unsupervised classification of wave bands,the paper analyses the spatial-temporal correlation of soil moisture and precipitation combined with precipitation data.The correlation analysis can be used to predict the fluctuation of soil moisture in a certain period,which benefits the prediction of urban micro-climate and debris flow and is advantageous to the urban ecological construction.更多还原