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全球化背景下中国土地利用变化与城市发展的时空模式:以北京为例的研究

Tempo-Spatial Patterns of Land Use Changes and Urban Development in Globalizing China: A Study of Beijing.

作者信息

Xie Yichun, Fang Chuanglin, Lin George C S, Gong Hongmian, Qiao Biao

机构信息

Department of Geography and Geology, Eastern Michigan University, 205 Strong Hall, Ypsilanti, MI 48197, USA.

Institute of Geographic Science & Natural Resources Research, Chinese Academy of Sciences, 11A Datun Road, Anwai, Beijing 100101, China.

出版信息

Sensors (Basel). 2007 Nov 20;7(11):2881-2906. doi: 10.3390/S7112881.

DOI:10.3390/S7112881
PMID:28903267
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3965218/
Abstract

This study examines the temporal and spatial changes in land use as aconsequence of rapid urban development in the city of Beijing. Using a combination oftechniques of remote sensing and GIS, the study identifies a substantial loss of plaindryland and a phenomenal expansion of urban construction land over the recent decade.Geographically, there is a clear shifting of urban construction land from the inner city tothe outskirts as a consequence of suburbanization. The outward expansion of the ring-roadsystem is found to be one of the most important driving forces explaining the temporal andspatial pattern of land use change. The uneven distribution of population stands as anotherfactor with significant correlation with land use change. The application of the techniquesof remote sensing and GIS can enhance the precision and comparability of research onland use change and urban transformation in China.

摘要

本研究考察了北京市快速城市发展导致的土地利用的时空变化。通过结合遥感和地理信息系统技术,该研究发现近十年来平原旱地大量减少,城市建设用地显著扩张。在地理上,由于郊区化,城市建设用地明显从内城向外围转移。环路系统的向外扩张被认为是解释土地利用变化时空格局的最重要驱动力之一。人口分布不均是与土地利用变化显著相关的另一个因素。遥感和地理信息系统技术的应用可以提高中国土地利用变化和城市转型研究的精度和可比性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/476b6d8334a0/sensors-07-02881f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/68cbb0942b88/sensors-07-02881f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/82a68b7bc9ae/sensors-07-02881f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/6a2e59bfc6a4/sensors-07-02881f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/4e88c7562dd9/sensors-07-02881f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/d3102ed043da/sensors-07-02881f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/53eb8837ad15/sensors-07-02881f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/476b6d8334a0/sensors-07-02881f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/68cbb0942b88/sensors-07-02881f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/82a68b7bc9ae/sensors-07-02881f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/6a2e59bfc6a4/sensors-07-02881f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/4e88c7562dd9/sensors-07-02881f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/d3102ed043da/sensors-07-02881f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/53eb8837ad15/sensors-07-02881f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e988/3965218/476b6d8334a0/sensors-07-02881f7.jpg

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