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Environmental Management

, Volume 40, Issue 5, pp 803–813 | Cite as

The Spatio-Temporal Dynamic Pattern of Rural Residential Land in China in the 1990s Using Landsat TM Images and GIS

  • Guangjin Tian
  • Zhifeng Yang
  • Yaoqi Zhang
Article

Abstract

Through interpreting Landsat TM images, this study analyzes the spatial distribution of rural settlements in China in 2000. It calculates rural residential land percentage for every 1-km2 cell. The entire country is divided into 33 regions to investigate the spatio-temporal dynamic patterns of rural residential land during the 1990s. According to the remote sensing survey, the rural residential land increased by 7.88 × 105 ha in the 1990s. The increment of rural residential land was 0.55 million ha in 1990–1995 and 0.23 million ha in 1995–2000. In 1990–1995, rural residential land increased dramatically in the eastern regions such as the Yangtze River Delta, Pearl River Delta, and North China Plain, accounting for 80.80% of the national growth; the expansion in the western regions was much more moderate. In 1995–2000, the expansion of rural residential land in eastern regions slowed, accounting for only 58.54% of the increase at the national level, whereas the expansion in the western regions accelerated. Rapid rural residential development resulted from increasing home construction and the limited control on rural land. The great regional disparity reflected the regional economic development and land-use policy change. Our finding shows that nearly 60% of the rural residential area came from cropland.

Keywords

Rural residential land Spatio-temporal pattern Land-use change Remote sensing GIS China 

Notes

Acknowledgments

Research funding for this work was provided by the key project of NSFC (Natural Scientific Foundation of China) under grant 40571060 (The Spatio-temporal Model, Driving Forces and Environmental Impact of Chinese Urbanization Process) and national basic research program 973 project (2005CB724204). We would like to thank Dr. Jianguo Wu and four anonymous reviewers for their comments and suggestions.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  1. 1.School of EnvironmentBeijing Normal UniversityBeijingPeople’s Republic of China
  2. 2.School of Forestry and Wildlife SciencesAuburn UniversityAuburnUSA

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