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基于遥感和GIS技术的城市发展适宜性综合评价——以中国京津冀地区为例

Integrated Evaluation of Urban Development Suitability Based on Remote Sensing and GIS Techniques - A Case Study in Jingjinji Area, China.

作者信息

Dong Jiang, Zhuang Dafang, Xu Xinliang, Ying Lei

机构信息

State Key Lab of Resources and Environmental Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

出版信息

Sensors (Basel). 2008 Sep 25;8(9):5975-5986. doi: 10.3390/s8095975.

Abstract

Jingjinji area (namely Beijing, Tianjin and He Bei Province) is one of the three largest regional economic communities in China. Urban expansion has sped up in the past 20 years in this area due to the rapid economic and population growth. Evaluating the landuse suitability for urban growth on a regional scale is an urgent need, because the most suitable areas and the most suitable scale of urban growth can thus be determined accordingly. In order to meet this requirement, remote sensing and geographic information system (GIS) techniques were adopted, and an integrated evaluating model was developed supported by AHP method. The integrated urban development suitability index (UDSI) was calculated using this model. According to the UDSI result, the spatial distribution of urban development suitability and its driving forces were analyzed. Urban boundaries in 1995, 2000 and 2005, which were derived from Landsat TM/ETM+ satellite data, were overlaid on the UDSI map, and the suitable urban develop tendency in this area were discussed. The result of this study indicated that integrated evaluation of urban development could be conducted in an operational way using remote sensing data, GIS spatial analysis technique and AHP modeling method.

摘要

京津冀地区(即北京、天津和河北省)是中国三大区域经济共同体之一。由于经济和人口的快速增长,该地区在过去20年中城市扩张加速。在区域尺度上评估城市增长的土地利用适宜性迫在眉睫,因为据此可以确定最适宜的区域和最适宜的城市增长规模。为满足这一需求,采用了遥感和地理信息系统(GIS)技术,并在层次分析法的支持下开发了一个综合评估模型。使用该模型计算了城市发展综合适宜性指数(UDSI)。根据UDSI结果,分析了城市发展适宜性的空间分布及其驱动力。将1995年、2000年和2005年从陆地卫星TM/ETM+卫星数据中提取的城市边界叠加在UDSI地图上,并讨论了该地区适宜的城市发展趋势。研究结果表明,利用遥感数据、GIS空间分析技术和层次分析建模方法,可以对城市发展进行操作性的综合评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51be/3705542/af11096c97bf/sensors-08-05975f1.jpg

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