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宿州市城市扩展的遥感动态变化监测与评价
引用本文:方刚. 宿州市城市扩展的遥感动态变化监测与评价[J]. 沈阳大学学报:自然科学版, 2014, 0(4): 284-289
作者姓名:方刚
作者单位:[1]宿州学院安徽省煤矿勘探工程技术研究中心,安徽宿州234000; [2]宿州学院地球科学与工程学院,安徽宿州234000
基金项目:自然灾害过程与防控研究安徽省重点实验室开放基金资助项目(ZH201307);安徽省质量工程项目([2008]4号24),安徽省精品资源共享课程(2013gxk097).
摘    要:以安徽省宿州市为研究对象,分别从Landsat TM/ETM+和Landsat 8遥感影像提取1987年、2000年、2005年和2013年四个时期的土地利用信息,每个时相的遥感影像分为建设用地、林地、水体和耕地四类,从城市建设用地扩展速度、扩展强度、分形维数、稳定性指数、城市扩展弹性系数、城市扩展方向等方面详细分析了26年来宿州市城市扩展的时空变化.研究结果表明:宿州市城市建设用地面积一直持续增加,扩展速度进一步加快,扩展强度也进一步增强.1987-2013年,建设用地面积净增50.67 km2,扩展速度为5.18%,扩展强度为1.63.城市空间格局由填充式逐渐向外延式转变(即由老城区向外延伸扩展),主要向南、北、东南和西北方向发展.

关 键 词:城市扩展  动态监测  遥感  宿州市

Dynamic Monitoring and Evaluation of Urban Expansion in Suzhou City Based on Remote Sensing
Fang Gang. Dynamic Monitoring and Evaluation of Urban Expansion in Suzhou City Based on Remote Sensing[J]. Journal of Shenyang University, 2014, 0(4): 284-289
Authors:Fang Gang
Affiliation:Fang Gang (a. Anhui Engineering Research Center for Coal Exploration; b. School of Earth Sciences and Engineering, Suzhou University, Suzhou 234000, China)
Abstract:The research object was Suzhou City, Anhui Province. The data source was the Landsat TM/ETM+ and Landsat 8 remote sensing images in 1987, 2000, 2005 and 2013. The land use information was extracted from four different periods' remote sensing images, which was divided into construction land, woodland, water land and cultivated land. The dynamic changes of the urban expansion were analyzed in detail according to the expansion speed, the expansion intensity, the fractal dimension, the stability index, and the urban expansion direction in recent 26 years in Suzhou. The results show that the construction land had been increasing constantly, the expansion speed and intensity had accelerated further. From 1987 to 2013, area of the construction land increased by 50. 67 square kilometers, the expansion speed was 5.18%, and the expansion intensity was 1.63. The urban space pattern had changed from inward to outward extension gradually (in other words, extending outward from the old city), mainly to South , North , Southeast and Northeast.
Keywords:urban expansion  dynamic monitoring  remote sensing  Suzhou City
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