中文摘要：

在RS、GIS技术支持下,对天目山地区的TM影像进行处理与分类,得到研究区的阔叶林空间分布图。运用GIS空间分析与SPSS统计功能,对阔叶林的TM影像及其所处的地形进行分维估算,研究其分维的空间分布规律。阔叶林的TM影像分维在高程、坡度和坡向3个方面有分布规律：随海拔的升高、坡度的增加,TM影像分维呈增加的趋势;阳坡、半阴半阳坡比阴坡的影像分维大。阔叶林的地形分维在高程和坡向2个方面有分布规律：随海拔的升高,地形分维呈减小的趋势;阴坡比阳坡、半阴半阳坡的分维大;地形分维与坡度没有关系。阔叶林TM影像与其地形的分维之间存在正相关。

英文摘要：

Broadleaved forest spatial distribution map in Tianmu Mountain has been obtained by classifying TM image on 11 October,2000,with combining supervised and unsupervised technique method in the paper.A digital elevation model（DEM） was established from the vector contours in ArcGIS environment,which was derived slope and aspect.This paper describes quantitatively fractal dimensions of both TM images and terrain of broadleaved forest using the triangular prism surface area method（TPSAM）,explores the distribution of fractal dimensions of them,and makes a correlate analysis between them using ArcGIS spatial analysis and statistic function of SPSS.The results indicate that：（1） The distribution of TM image fractal dimension of broadleaved forest is orderly.Fractal dimension of TM image shows an increasing trend with the increase of elevation and slope gradient.Fractal dimension of TM image on sunny,half-shady and half-sunny slope is larger than that on the shady slope.The distribution of TM image fractal dimension is closely related with the slope gradient.（2） The distribution of terrain fractal dimension is orderly on elevation and aspect.There is a decreasing trend of fractal dimension as elevation increases.Fractal dimension of shady slope is larger than that on sunny,half-sunny and half-shady slope,while the distribution of terrain fractal dimension on the slope is disorderly.The distribution of terrain fractal dimension is closely related with the elevation.（3） The study further shows that there is a positive correlation between the fractal dimension of TM image and terrain of broadleaved forest,and the distribution was physically explained.