igital Change Detection by Post-Classification Comparison of RS Data in Land Use of Guangzhou

Remote sensing has long time been an important component of regional planning for applications ranging form urban fringe change detection to monitoring change detection of land use. On the other hand, the technologies and methods of change detection also have evolved dramatically during past 20 years. So it has been well recognized that the change detection had become the best methods for researching dynamic change of land use by multi-temporal remotely-sensed data.The purpose of this paper is to detect land use change surrounding the area of Guangzhou using TM image (Dec 22,1998) and ETM image (Jan. 10,2003). A county administrative boundary vector layer of the Pearl River Delta (2000) was used to get the subset image of Guangzhou. Unsupervised classification is performed by the K_Means method. At last, two-time subset images of Guangzhou are compared on a pixel-by-pixel basis using the post-classification comparison method and the “from-to” change matrix is produced, the land use change information obtained.