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基于遥感的长沙-株洲-湘潭城市扩展研究
引用本文:彭顺喜,林剑,鲍光淑,陈宝树.基于遥感的长沙-株洲-湘潭城市扩展研究[J].国土资源遥感,2005(4):74-77.
作者姓名:彭顺喜  林剑  鲍光淑  陈宝树
作者单位:1. 中南大学信息物理工程学院,长沙,410083
2. 国防科技大学ATR国家重点实验室,长沙,410073
3. 核工业中南地质局230研究所,长沙,410011
基金项目:国防科工委(科工计[2001]58号); 湖南省自然科学基金项目(04JJ30046)资助.
摘    要:通过实地考察建立图像解译标志,利用多时相遥感图像序列,形成城市变化图,研究长沙、株洲、湘潭(简称长、株、潭)1966~1999年不同时期城市特征、扩展方式、方位和速度,并对2000~2010年城市发展状况进行初步预测.研究结果表明: 长、株、潭城市在不同时期有基本相同的扩展方式; 扩展方位并非三市融合方向; 扩展速度呈指数增展,且长沙市的扩展速度明显高于株、潭两市的扩展速度; 2000~2010年间长、株、潭城市仍将高速扩展,三市将进一步融合.

关 键 词:长株潭  遥感图像  城市扩展
文章编号:1001-070X(2005)04-0074-04
收稿时间:2005-06-08
修稿时间:2005-08-26

A STUDY OF CHANGSHA-ZHUZHOU-XIANGTAN URBAN EXTENSION BASED ON REMOTE SENSING
PENG Shun-xi,LIN Jian,BAO Guang-shu,CHEN Bao-shu.A STUDY OF CHANGSHA-ZHUZHOU-XIANGTAN URBAN EXTENSION BASED ON REMOTE SENSING[J].Remote Sensing for Land & Resources,2005(4):74-77.
Authors:PENG Shun-xi  LIN Jian  BAO Guang-shu  CHEN Bao-shu
Institution:1. School of Info - Physics and Geomatics Engineering, Central South University, Changsha 410083, China; 2. ATR National Laboratory, National University of Defence Technology, Changsha 410073, China; 3. 230 Institute of Central - south Geology Bureau of Nuclear industry, Changsha 410011, China
Abstract:Based on setting up image interpretation criteria through field investigation and compiling urban change map by means of multi-temporal sequence remote sensing image,this paper has studied urban characteristics,expansion model,growth orientation and growth velocity of Changsha city,Zhuzhou city and Xiangtan city(Chang-Zhu-Tan) in the period of 1966~1999,and forecasted the development of urban areas in the period of 2000~2010.According to the research result,Chang-ZhuTan have the same expansion model,the growth orientation of the three cities doesn't make for their integration in geography,their expansion velocity is increasing in exponential form,the development of Changsha will be the fastest among these cities during this period,and Chang-Zhu-Tan will maintain high speed expansion and tend to become integrated..
Keywords:Chang - Zhu - Tan  Remote sensing image  Urban extension
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