Analysis of urban landscape pattern change in Yanzhou city based on TM/ETM+ images

摘要：

To provide a scientific basis for ecological construction of urban landscape, we take Yanzhou for an example to analyze the urban landscape pattern change. The images of the multi-temporal Landsat TM/ETM+ data in 1998 and 2002 are used to select the best band combinations to interpret images based on the correlation coefficient of bands and Optimum Index Factor (OIF). Then we classify the images using Maximum Likelihood Classifier (MLC) and Support Vector Machines (SVM) classifier. The results of SVM are used for analyzing the urban landscape pattern change in Yanzhou city to obtain its characteristics because it has higher classification precision. The experiment shows a rich diversity, a low dominance of landscape and the common development of landscapes. In the development process of urban and mining area in Yanzhou city, the balanceable development of protecting the objects style is paid more attention to and the ecological environment type keeps in good condition on the whole.

关键词： mining area Yanzhou landsat TM/ETM+ data classification landscape pattern

作者: Chen Long-qian Wang Li Yuan Lin-shan

作者单位: Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116, China School of Environmental Science and Spatial Informatics, China University of Mining & Technology, Xuzhou 221116, China

会议类型: 国际会议

会议名称: The 6th International Conference on Mining Science & Technology ICMST 2009(第六届国际矿业科学技术大会)

会议地点: 徐州

会议语种:英文

页码: 1-7

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）