Driving Factors and Predictions of Land Use Structure in Changsha City

XIAO Zhi-kun; WANG Fang; QUAN Bin; JIANG Liang-mei; WANG Zhao-sheng; LEI Shi

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Driving Factors and Predictions of Land Use Structure in Changsha City

- Driving Factors and Predictions of Land Use Structure in Changsha City
- Bulletin of Soiland Water Conservation Vol. 31, Issue 2, Pages: 142-146(2012)
- 作者机构：
  
  1. 湖南科技大学地球空间信息科学研究所,湖南,湘潭,411201
  2. 中国科学院水利部水土保持研究所黄土高原土壤侵蚀与旱地农业国家重点实验室，陕西杨凌,712100
- 作者简介：
- 基金信息：
- DOI：
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- Published：2012
- 稿件说明：
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XIAO Zhi-kun, WANG Fang, QUAN Bin, et al. Driving Factors and Predictions of Land Use Structure in Changsha City[J]. Bulletin of Soiland Water Conservation, 2012, 31(2): 142-146.
DOI：

XIAO Zhi-kun, WANG Fang, QUAN Bin, et al. Driving Factors and Predictions of Land Use Structure in Changsha City[J]. Bulletin of Soiland Water Conservation, 2012, 31(2): 142-146. DOI：

摘要

利用1990，1995，2000和2005年共4期Landsat TM数据和Markov模型，预测分析了长沙市土地利用及其结构变化，深入理解和发现导致其变化的驱动力。结果表明，1990-2020年长沙市土地利用结构信息熵和均衡度分别从0.879 3和0.490 7上升至0.922 5和0.514 9，优势度从0.509 3下降至0.485 1，土地资源系统的有序程度呈降低趋势；长沙市土地利用结构变化直接表现在地类变化上，且与社会经济驱动密切相关。

Abstract

Using four sets of Landsat TM images of 1990，1995，2000 and 2005 and the Markov model，the changes of land use and structure index were analyzed and predicted in order to improve the understandings of the driving forces for land use change in Changsha City． The results show that during the 30 years from 1990 to 2020 in Changsha City，the information entropy and equilibrium degree of the land use structure increased from 0． 879 3 and 0． 490 7 to 0． 922 5 and 0． 514 9，respectively，while the degree of dominance decreased from 0． 5093 to 0． 4851，reflecting the degree of order in the land resource system decreased． A significant and close correlation was also indentified between the land use structure changes and social economic driving factors．

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