通过分析城市中不透水面数量和分布的变化与城市土地利用变化之间的对应关系, 综合中、高分辨率遥感数据各自的优势, 运用CART算法进行城市不透水面覆盖度(ISP)遥感估算, 基于ISP制图结果对城市土地利用变化进行检测。以山东省泰安市为例开展实验研究, 结果表明, 与传统的变化检测方法相比, 基于ISP的变化检测方法, 不仅能够反映土地利用类型转换的潜在信息, 而且可以灵活地量化定义和解释城市用地变化情况。这种方法为城市土地利用变化信息的提取和分析提供了一种新的思路, 可以作为现有变化检测方法的有益补充。

As human activities expanding and the process of urbanization in the past decades, urban land use changes very quickly at different scales in China. Extensive studies have been carried out to extract information of land use changes from remote sensing data. Conventional remote sensing change detection methods such as direct comparison and post-classification comparison are performed at pixel level. However, these methods have been proved to be less effective in quantitatively detecting subtle changes within one land use class than detecting land use transitions, i.e. qualitative changes occurred between different land use classes. To enable the capability of detecting quantitative changes in urban land use, a change detection method is proposed based on impervious surface mapping with multi-resolution remotely sensed data. Urban development leads to the increase of impervious surfaces in urban areas, and the impervious surface has been recognized as an important urban land cover type and one of the key factors in the land, hydrological, climatic, ecological and environmental studies. In this paper, the classification and regression tree (CART) algorithm is used with both high-resolution (QuickBird) and medium-resolution (Landsat5 TM) remote sensing data to establish prediction models of impervious surface percentage (ISP). Based on bi-temporal results of ISP prediction, urban land use changes from 2002 to 2006 are detected in Tai’an city of Shandong province. Furthermore, pre-liminary analysis for these urban land use changes is carried out. The experimental results demonstrated the feasibility and ef-fectiveness of this change detection method which can be used as a supplement to conventional change detection methods.