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Proceedings Paper

Dynamic evolution study of wetland landscape pattern in urban Wuhan based on TM images
Author(s): Chunfang Kong; Kai Xu; Chonglong Wu; Hongbin Deng; Yi Zhang
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Paper Abstract

Based on analysis of the terrain maps, remote sensing images, statistic data of wetland of Wuhan urban from 1985 to 2005, and with the technology of Remote Sensing (abbr. RS) and Geographic Information System (abbr. GIS), the wetland landscape spatial database and attribute database of Wuhan urban are set up using ARCGIS software of the year of 1985, 1995 and 2005. At the same time, according to fractal geometry and landscape ecological methodology and the theories, we can quantitatively analyze the form characters, evolution rules, and change factors of the wetland landscape pattern of Wuhan urban by calculating its diversity index, dominance index, equality index, fragmentation index, isolation index and fractal dimension, and so on. As a result, the wetland's form characters and evolution process of Wuhan urban are compared and analyzed; its time-spatial evolution character during the past 20 years is demonstrated. In the end, some advice will be given that human beings should adjust land-use structure in lake districts, reasonably develop, recover and reconstruct positive eco-environment, and promote its sustainable development in Wuhan urban according to its ecological environment characteristics.

Paper Details

Date Published: 14 November 2007
PDF: 8 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67902L (14 November 2007); doi: 10.1117/12.750874
Show Author Affiliations
Chunfang Kong, China Univ. of Geosciences (China)
Kai Xu, Beijing Normal Univ. (China)
Chonglong Wu, China Univ. of Geosciences (China)
Hongbin Deng, China Univ. of Geosciences (China)
Yi Zhang, Central China Normal Univ. (China)

Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications
Yongji Wang; Jun Li; Bangjun Lei; Chao Wang; Liang-Pei Zhang; Jing-Yu Yang, Editor(s)

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