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基于遥感数据的城市空间扩张研究
引用本文:任鹏飞,甘淑,宗慧琳,谢显奇.基于遥感数据的城市空间扩张研究[J].水土保持通报,2014(3):116-120.
作者姓名:任鹏飞  甘淑  宗慧琳  谢显奇
作者单位:昆明理工大学国土资源工程学院, 云南昆明 650093;昆明理工大学国土资源工程学院, 云南昆明 650093;昆明理工大学国土资源工程学院, 云南昆明 650093;昆明理工大学国土资源工程学院, 云南昆明 650093
基金项目:国家自然科学基金项目"基于遥感与GIS的滇东南石漠化监测、评价及过程模拟研究"(41261092),"云南山区不同地域环境下农户生计与土地利用互动研究"(71163023)
摘    要:城市化是区域人口增长与社会经济发展的综合进程,其最为明显的特征是城市空间扩张。采用基于RULEGEN的决策树分类方法从Landsat ETM+影像中提取昆明市建设用地信息,应用皮尔逊卡方检验和香农熵模型计算城市空间扩张的自由度和蔓延度。结果显示,在近8a中,该市城市扩张呈现较高的自由性和蔓延性以及明显的各方位不均衡性;空间扩张的时段自由度和蔓延度均呈现不同程度的下降趋势,城市发展趋于紧凑化。

关 键 词:遥感探测  建设用地  空间扩张  城市蔓延
收稿时间:6/8/2013 12:00:00 AM
修稿时间:2013/7/24 0:00:00

A Study of Urban Spatial Expansion Based on Remote Sensing Data
REN Peng-fei,GAN Shu,ZONG Hui-lin and XIE Xian-qi.A Study of Urban Spatial Expansion Based on Remote Sensing Data[J].Bulletin of Soil and Water Conservation,2014(3):116-120.
Authors:REN Peng-fei  GAN Shu  ZONG Hui-lin and XIE Xian-qi
Institution:Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China;Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
Abstract:Urbanization is an integrated process of regional population growth and socio-economic development. The most notable feature of urbanization is the urban expansion in space. Built-up area information was extracted from Landsat ETM+ images using decision tree classification method based on RULEGEN. Pearson's chi-square test and Shannon's entropy model were used to calculate the degrees of freedom and sprawl of urban expansion. Results show that the urban expansion had higher degrees of freedom and sprawl, moreover, it was imbalanced in different directions apparently in the resent 8 years. The degrees of freedom and sprawl in time spans declined and urban development tended to be compact.
Keywords:remote sensing  construction land  spatial expansion  urban sprawl
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