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Proceedings Paper

The spatial-temporal patterns and the driving forces of land-use/cover change in the Dongting Lake area of the middle Yangtze River basin
Author(s): Rendong Li; Jiyuan Liu; Dafang Zhuang; Zhiqiang Gao
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Paper Abstract

Dongting Lake area, located on the southern bank of the middle Yangtze River in central China, is one of the regions experiencing rapid land use change and seriously suffering from flooding disaster in the country. In this paper, a series of land-use coverage was generated through visually interpreting Landsat MSS, TM and ETM images, of 1980, 1990 and 2000 respectively. Then, the spatial-temporal characteristics and the driving forces of the land use changes were analyzed in the study area. The results show that, from 1980 to 2000, the areas of farmland, woodland and non-used land decreased, while those of built-up land, water area and grassland increased. There was a significant shifting from farmland to water or built-up area, and the large-scale reclamation from the lake ever in history has not been found since 1980. The fastest changed area was in Shishou City, Yueyang City and Jinshi City, and the slowest in the eastern and southeastern area. About 49% of the changes were caused by the adjustment of agricultural economic structure, 29.75% by the urbanization and industrialization, and 21.41% by the environmental pressure. The policy, market price and tax on land products also have definitively influences on the land-use changes.

Paper Details

Date Published: 9 November 2004
PDF: 9 pages
Proc. SPIE 5544, Remote Sensing and Modeling of Ecosystems for Sustainability, (9 November 2004); doi: 10.1117/12.563383
Show Author Affiliations
Rendong Li, Institute of Geodesy and Geophysics, CAS (China)
Jiyuan Liu, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Dafang Zhuang, Institute of Geographical Sciences and Natural Resources Research, CAS (China)
Zhiqiang Gao, Institute of Geographical Sciences and Natural Resources Research, CAS (China)


Published in SPIE Proceedings Vol. 5544:
Remote Sensing and Modeling of Ecosystems for Sustainability
Wei Gao; David R. Shaw, Editor(s)

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