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Proceedings Paper

Wetland landscape pattern evolvement character and its driving mechanism based on TM images of Hubei Province
Author(s): Chunfang Kong; Kai Xu; Chonglong Wu; Hongbin Deng; Yi Zhang
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Paper Abstract

Wetland, as an ecosystem with special functions, is the transitional areas between water and land in the earth, which has the richest biology diversity in nature, and is one of the most important surviving environments of human beings. Based on analysis of the terrain maps, remote sensing images, statistic data of wetland of Hubei province 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 Hubei province 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 Hubei provinces 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 Hubei province are compared and analyzed; its time-spatial evolution character and mechanism during the past 20 years are demonstrated. And various natural and social factors, human activities, and driving forces which exert a significant impact on the evolution of Hubei province wetland are anatomized here. 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 ecoenvironment, and promote its sustainable development in Hubei province according to its ecological environment characteristics.

Paper Details

Date Published: 26 July 2007
PDF: 11 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67523B (26 July 2007); doi: 10.1117/12.760791
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. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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