摘要
遥感技术以其具有宏观、快速、准确、及时等特点为城市变化趋势分析提供了快速便捷的途径。选取郑州市1988年TM、2001年ETM+和2007年CBERS遥感数据,经过一系列数据预处理后,采用决策树分类算法,进行基于知识遥感分类及专题图的制作。对分类结果利用土地利用结构变化、动态变化率、转移矩阵等指标进行变化分析,分析结果揭示了不同时期城市扩张与植被、水体和农村居民点的变化关系,对于地区土地可持续利用具有重要参考作用。研究数据表明,20年来郑州市城市用地以年均8%的速度增长,植被减少25%,水体减少30%。
The remote sensing technology provides a quick and easy way in urban changing analysis for its macro, fast, accurate, timely and other characteristics. Selecting Zhengzhou City remote sensing images in 1988 TM, 2001 ETM ＋ and 2007 CBERS, after a series of data preprocessing, using the decision tree classification algorithm, taking knowledge-based remote sensing classification and thematic map production, basing on the classification results, we analyzed changes in indicators such as land use structure, dynamic rates of change and transfer matrix analysis, the results revealed the relationships among urban expansion and changes of vegetation, water bodies and rural settlements in different periods, this has an important reference for sustainable land use in the region. Research data showed that the urban expanded at an average annual rate of 8 percent, the vegetation is reduced by 25%, 30% reduction in water bodies in the past 20 years in Zhengzhou City.
出处
《地域研究与开发》
CSSCI
北大核心
2010年第1期136-140,共5页
Areal Research and Development
基金
国家自然科学基金项目(50534050)
中国矿业大学青年科研基金项目(2008A032)
关键词
城市
遥感
多源数据
决策树
变化监测
郑州市
urban
remote sensing
multi-source data
decision tree
change monitoring
Zhengzhou City
