Zhang, Y.-J.; Qu, J.-G., and Li, D., 2020. Evolution and prediction of coastal wetland landscape pattern: An exploratory study. In: Gong, D.; Zhang, M., and Liu, R. (eds.), Advances in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 106, pp. 553–556. Coconut Creek (Florida), ISSN 0749-0208.

Wetlands are among the most important natural resources in the world, a human treasure house with many resources. According to the convention on wetlands, wetlands can be natural or artificial, permanent or temporary swamps, wet plains, peatlands, and water areas, which are water bodies with static, flowing, fresh water, brackish water, or salt water, including shallow water areas with a depth of no more than 6 m at low tide. This article mainly studies the coastal wetland of Yancheng, Jiangsu Province, by remote sensing, GIS, and GPS technology and cellular automata modeling. Based on the remote sensing images of 1992, 2000, and 2008, the cellular automata model of the Yancheng coastal wetland is established. Through the relevant data, this article analyzes the evolution process of wetland landscape pattern, which plays an important role in the prediction of wetland changes in Yancheng. Through this model, the landscape data in 2020 are predicted. Finally, this article puts forward some sustainable development measures, which can better protect the wetland resources of Yancheng, Jiangsu Province.

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