A Study of Urban Spatial Expansion Based on Remote Sensing Data

REN Peng-fei; GAN Shu; ZONG Hui-lin; XIE Xian-qi

doi:10.13961/j.cnki.stbctb.2014.03.022

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A Study of Urban Spatial Expansion Based on Remote Sensing Data

- A Study of Urban Spatial Expansion Based on Remote Sensing Data
- Bulletin of Soiland Water Conservation Vol. 33, Issue 3, Pages: 116-120(2014)
- 作者机构：
  
  昆明理工大学国土资源工程学院,云南,昆明,650093
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.03.022
  CLC：
- Published：2014
- 稿件说明：
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REN Peng-fei, GAN Shu, ZONG Hui-lin, et al. A Study of Urban Spatial Expansion Based on Remote Sensing Data[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 116-120.
DOI：

REN Peng-fei, GAN Shu, ZONG Hui-lin, et al. A Study of Urban Spatial Expansion Based on Remote Sensing Data[J]. Bulletin of Soiland Water Conservation, 2014, 33(3): 116-120. DOI： 10.13961/j.cnki.stbctb.2014.03.022.

摘要

城市化是区域人口增长与社会经济发展的综合进程

其最为明显的特征是城市空间扩张。采用基于RULEGEN的决策树分类方法从Landsat ETM

影像中提取昆明市建设用地信息

应用皮尔逊卡方检验和香农熵模型计算城市空间扩张的自由度和蔓延度。结果显示

在近8 a中

该市城市扩张呈现较高的自由性和蔓延性以及明显的各方位不均衡性;空间扩张的时段自由度和蔓延度均呈现不同程度的下降趋势

城市发展趋于紧凑化。

Abstract

Urbanization is an integrated process of regional population growth and socio-economic development. The most notable feature of urbanization is the urban expansion in space. Built-up area information was extracted from Landsat ETM+ images using decision tree classification method based on RULEGEN. Pearson's chi-square test and Shannon's entropy model were used to calculate the degrees of freedom and sprawl of urban expansion. Results show that the urban expansion had higher degrees of freedom and sprawl

moreover

it was imbalanced in different directions apparently in the resent 8 years. The degrees of freedom and sprawl in time spans declined and urban development tended to be compact.

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references

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