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Proceedings Paper

RS- and GIS-based study on landscape pattern change in the Poyang Lake wetland area, China
Author(s): Xiaoling Chen; Hui Li; Shuming Bao; Zhongyi Wu; Weijuan Fu; Xiaobin Cai; Hongmei Zhao; Peng Guo
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Paper Abstract

As wetland has been recognized as an important component of ecosystem, it is received ever-increasing attention worldwide. Poyang Lake wetlands, the international wetlands and the largest bird habitat in Asia, play an important role in biodiversity and ecologic protection. However, with the rapid economic growth and urbanization, landscape patterns in the wetlands have dramatically changed in the past three decades. To better understand the wetland landscape dynamics, remote sensing, geographic information system technologies, and the FRAGSTATS landscape analysis program were used to measure landscape patterns. Statistical approach was employed to illustrate the driving forces. In this study, Landsat images (TM and ETM+) from 1989 and 2000 were acquired for the wetland area. The landscapes in the wetland area were classified as agricultural land, urban, wetland, forest, grassland, unused land, and water body using a combination of supervised and unsupervised classification techniques integrated with Digital Elevation Model (DEM). Landscape indices, which are popular for the quantitative analysis of landscape pattern, were then employed to analyze the landscape pattern changes between the two dates in a GIS. From this analysis an understanding of the spatial-temporal patterns of landscape evolution was generated. The results show that wetland area was reduced while fragmentation was increased over the study period. Further investigation was made to examine the relationship between landscape metrics and some other parameters such as urbanization to address the driving forces for those changes. The urban was chosen as center to conduct buffer analysis in a GIS to study the impact of human-induced activities on landscape pattern dynamics. It was found that the selected parameters were significantly correlated with the landscape metrics, which may well indicate the impact of human-induced activities on the wetland landscape pattern dynamics and account for the driving forces.

Paper Details

Date Published: 28 October 2006
PDF: 7 pages
Proc. SPIE 6419, Geoinformatics 2006: Remotely Sensed Data and Information, 64192E (28 October 2006); doi: 10.1117/12.713429
Show Author Affiliations
Xiaoling Chen, Jiangxi Normal Univ. (China)
Hui Li, Wuhan Univ. (China)
Shuming Bao, Jiangxi Normal Univ. (China)
Univ. of Michigan (United States)
Zhongyi Wu, Wuhan Univ. (China)
Weijuan Fu, Wuhan Univ. (China)
Xiaobin Cai, Wuhan Univ. (China)
Hongmei Zhao, Wuhan Univ. (China)
Peng Guo, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 6419:
Geoinformatics 2006: Remotely Sensed Data and Information
Liangpei Zhang; Xiaoling Chen, Editor(s)

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