Analysis and Prediction of Urban Expansion in Kuala Lumpur Based on Remote Sensing and CA Model

SHI Xiao-xia; LI Jing; CHEN Yun-hao; QU Yan

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Analysis and Prediction of Urban Expansion in Kuala Lumpur Based on Remote Sensing and CA Model

- Analysis and Prediction of Urban Expansion in Kuala Lumpur Based on Remote Sensing and CA Model
- Bulletin of Soiland Water Conservation Vol. 27, Issue 2, Pages: 121-126(2008)
- 作者机构：
  
  1. 北京师范大学资源学院地表过程与资源生态国家重点实验室,北京,100875
  2. 吉林省白山市二十一中学,吉林,白山,134300
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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SHI Xiao-xia, LI Jing, CHEN Yun-hao, et al. Analysis and Prediction of Urban Expansion in Kuala Lumpur Based on Remote Sensing and CA Model[J]. Bulletin of Soiland Water Conservation, 2008, 27(2): 121-126.
DOI：

SHI Xiao-xia, LI Jing, CHEN Yun-hao, et al. Analysis and Prediction of Urban Expansion in Kuala Lumpur Based on Remote Sensing and CA Model[J]. Bulletin of Soiland Water Conservation, 2008, 27(2): 121-126. DOI：

摘要

利用长时间序列高分辨率LandsatTM影像

对吉隆坡及其周边地区城市扩展模式特征及驱动机制进行了分析

确定了其影响因子和限制因素

并基于CA模型原理对该研究区的城市扩展进行了模拟与预测。结果表明

吉隆坡及其周边地区城市扩展一直处于多经济核心支持下的中高速扩展阶段。吉隆坡内部的填充式扩展模式在整个城市扩展期间受周边的集中式扩展影响较大。在地形、经济及行政政策的交互影响下

研究区的扩展方向主要为西北、南、东南方向

其中以南部的城市扩展在各个时期最为突出。

Abstract

Urban expansion pattern and driving mechanisms in Kuala Lumpur was analyzed by using long time sequence and high resolution Landsat TM images.After the influence factors and limiting factors were confirmed

simulation and prediction of urban expansion for the study area were made based on the CA model theory.Results show that urban expansion in Kuala Lumpur is in a high speed period and is supported by the multi-economic centers.The filling expansion pattern in Kuala Lumpur inner city is greatly affected by centralized expansion pattern around Kuala Lumpur.Urban expansion is mainly toward northwest

south

and southeast for the influences of terrain

economy

and government policies.Urban expansion to the south is most obvious.

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Related Author

HE Dan

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Related Institution

State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences

Institute of Geographic Sciences and Natural Resources Research, Chinese Academy ofSciences

Research Institute of Forestry, Chinese Academy of Forestry

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