自然资源学报

自然资源学报 ›› 2007, Vol. 22 ›› Issue (5): 775-782.doi: 10.11849/zrzyxb.2007.05.012

• 资源评价 • 上一篇    下一篇

基于RS的城市土地集约利用评价方法研究

尹君1,2, 谢俊奇3, 王力4, 张贵军2, 郭庆十5   

  1. 1. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京 100101;
    2. 河北农业大学城乡建设学院, 河北保定 071001;
    3. 中国土地勘测规划院, 北京 100035;
    4. 中国科学院遥感应用研究所, 北京 100101;
    5. 河北省遥感中心, 石家庄 051000
  • 收稿日期:2007-01-15 修回日期:2007-05-25 出版日期:2007-10-25 发布日期:2007-10-25
  • 作者简介:尹君(1968-),男,汉族,陕西泾阳县人,博士,教授,主要从事土地评价和土地利用规划研究。 E-mail:yinjunau@yahoo.com.cn
  • 基金资助:

    中国土地勘测规划院国际合作项目“中国城市增长和耕地保护研究”;河北省国土厅科技项目.

The Evaluation of Urban Land Intensive Use Based on RS

YIN Jun1,2, XIE Jun-qi3, WANG Li4, ZHANG Gui-jun2, GUO Qing-shi5   

  1. 1. State Key Lab of Natural Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. College of Urban and Rural Construction, Agricultural University of Hebei, Baoding 071001, China;
    3. China Land Surveying and Planning Institute, Beijing 100035, China;
    4. Institute of Remote Sensing Applications, CAS, Beijing 100101, China;
    5. Hebei Provincial Center for Remote-Sensing, Shijiazhuang 050000, China
  • Received:2007-01-15 Revised:2007-05-25 Online:2007-10-25 Published:2007-10-25

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被引次数

242 | 35

摘要： 论文建立了以遥感数据为主要数据源的城市土地集约利用评价指标体系,对城市土地利用遥感影像(IKONOS)特征进行分析,介绍评价指标遥感信息解译方法。在以遥感为主结合调查获取所有指标信息的基础上,应用综合评价和人工神经网络(ANN)模型对城市土地集约利用进行评价,通过评价结果比较,发现人工神经网络模型能够反映自变量和因变量之间的复杂非线性关系,是一种可行的评价方法。因此,论文构建基于遥感和人工神经网络(ANN)作为城市土地集约利用评价的方法体系,并应用其对石家庄市土地集约利用水平进行了评价。实践证明,这种体系构建评价方法更具时效性,实用性更强,工作更快捷、方便,评价结果更为客观。

关键词: 城市土地, 集约利用, 遥感, 人工神经网络, 石家庄

Abstract: This paper puts forward the index system of evaluation of land intensive use in metropolis by using RS date which is the primary data source in this system.By analyzing the characteristics of the remote sensing image (IKONOS),we can therefore interpret the types of urban land use according to the method of RS interpretation.We compared the two methods of integrated evaluation method and artificial neural network (ANN) method by using the index information of potential evaluation of urban land intensive use and found ANN is a feasible evaluation method,which can reflect the complex nonlinear relationship between independent variables and dependent variables.We built the method system to evaluate urban land intensive use based on RS and ANN.This model is applied to evaluate the land intensive use in Shijiazhuang.Practice has proved this kind of evaluation method may be more time-effective,more practicable,more convenient and the appraisal result is more objective.

Key words: urban land, intensive use, remote sensing, artificial neural network, Shijiazhuang

中图分类号: 

  • F293.2