城镇扩张的多源遥感图像动态监测分析

An Analysis on Dynamic Monitoring of Urban Sprawal Using Multi-temporal Remote Sensing Images from Multi-source Based on the Knowledge

遥感动态监测城镇扩展己成为一个重要的研究和应用领域。利用ASTER和TM多源多时相遥感影像和地形数据,以福建省漳州市区为示范区,对城镇建筑用地扩张进行了遥感监测。研究认为,对于ASTER影像,综合利用光谱知识、多时相植被指数、城镇建筑用地的地形分布等建立分类决策规则,可以有效提取城镇建筑用地信息(精度不低于90%);研究提出用较新时相影像获取的城镇建筑用地限定较早时相影像城镇建筑用地提取范围的思路,拓展了TM影像三指数法的应用范围,以此保证了较早时期TM影像城镇信息的有效提取。

The application of remote sensing technology to the monitoring of urban sprawl has become an important field of study. This paper presents a general method using remote sensing technology to monitor urban sprawl by taking Zhangzhou city in Fujian Province of China as a case. First, for ASTER remote sensing image, the built- up land can be extracted effectively and exactly by combining knowledge from unsupervised classification, multi- temporal vegetation index and terrain distribution of urban built-upland. The precision is over 90%. Secondly, for TM remote sensing image, this paper presents a scheme to improve the method for extracting the built-up land which was raised by Xu Hanqiu. The scheme combines temporal and spatial knowledge of the built-up land with Xu＇ s method. The result shows that the precision of the built-up land, with a precision exceeding 90% , satisfies the demand for analyzing changes in urban sprawl.