中文摘要：

硬化地表增加是城市发展的重要特征之一。应用SPOT遥感影像提取了地表硬化度指数，拟合了地表硬化度和多光谱因子间的关系（Rspot=0．818，P〈0．001），并以北京市建成区为例进行了硬化地表格局特征研究。结果表明，北京市城区中等和高密度建设用地占绝对优势，高密度或较高密度建设缀盖格局的异质特征主导了北京市中心的总体景观格局。另外，尺度效应研究发现，在高度城市化的大都市，与较高分辨率影像相比，中等分辨率影像提取的地表硬化度精度更高，应用不同分辨率遥感信息提取的硬化地表格局特征有明屁差异。

英文摘要：

The increase of various impervious land surfaces constitutes one of the main features in urban development, which results in serious adverse impacts on regional environment. In this study, a new methodology was developed to model urban land imperviousness based on multi - spectral features by using SPOT image. The results show that the combination of multi - spectral features can efficiently predict land imperviousness. The significant relations between land imperviousness and SPOT based spectral features can reach 0. 818 （p 〈0. 001 ）. The distribution pattern of urban imperviousness was extracted based on the developed impervious index and object -oriented classification. The results show that more than 70% lands of the city center are estimated as being of high or middle imperviousness. fragmented distribution pattern, The average size of these impervious patches is large with a heterogeneous and The tests on scale impacts show that the accuracy of surface imperviousness derived from the lower spatial resolution is higher than that from the high spatial resolution image. Accordingly, the impervious surface patterns are obviously different.