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Monitoring the change of urban wetland using high spatial resolution remote sensing data

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Accurate and timely information describing wetland resources and their changes over time, especially in coastal urban areas, is becoming more important. In this study, we mapped and monitored land-cover change in an urban wetland using high spatial resolution IKONOS images acquired in June 2003 and January 2006. An optimal iterative unsupervised classification (OIUC) method was used to overcome the limitations of unsupervised classification. The images were categorized into six classes, and an accuracy assessment was conducted using error matrices and the Kappa coefficient. The overall accuracies were 83.2% and 86.3% for the 2003 and 2006 images, respectively. A post-classification comparison method was used to detect the wetland change by calculating a detailed land-cover type transformation matrix. The results indicated a decrease in the area of water bodies and an increase in the area of vegetation in the wetland. This paper shows that high spatial resolution remote sensing data is advanced in studying an urban wetland at a local scale. An OIUC method, combined with visual interpretation, could yield high classification accuracy. A post-classification comparison method is also efficient in wetland change detection.
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Document Type: Research Article

Affiliations: 1: International Institute for Earth System Science, Nanjing University, Nanjing, China,Nanjing Institute for Environmental Science of Ministry of Environmental Protection, Nanjing, China 2: International Institute for Earth System Science, Nanjing University, Nanjing, China,International Center of Spatial Ecology and Ecosystem Ecology, Zhejiang Forestry College, Linan, China 3: International Center of Spatial Ecology and Ecosystem Ecology, Zhejiang Forestry College, Linan, China 4: Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China 5: Department of Biological Science, Institute of Ecology and Conservation Biology, Zhejiang University, Hangzhou, China 6: Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing, China 7: International Institute for Earth System Science, Nanjing University, Nanjing, China 8: School of Geography, Beijing Normal University, Beijing, China

Publication date: March 1, 2010

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