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Application of Land Use Model Combined with GIS and RS Technology in Supporting Urban Spatial Planning

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Planning Support Systems for Sustainable Urban Development

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC,volume 195))

Abstract

This chapter illustrates an application of the Conversion of Land Use and Its Effects at Small regional extent (CLUE-S) model, combined with Geographic Information System (GIS) and Remote Sensing (RS) technology, in simulating future land use and landscape pattern change under different land use scenarios in Xinzhuang town, Jiangsu province, China. It is based on multi-temporal high-resolution remotely sensed images. Three different scenarios are designed to simulate the future patterns of the study area. Kappa coefficients are applied to evaluate the feasibility of CLUE-S model for supporting spatial planning. The results showed that the increase of construction land and decrease of paddy fields would be the dominant trend of future land use change. Plenty of farmlands and ecological land will be encroached by construction land in the next 20 years. The landscape pattern will be more fragmented, disaggregated and disconnected, and the landscape will become more diversified and homogenous. The prediction accuracy of CLUE-S is satisfactory; it means that this model can provide scientific support for land use planning and policy making.

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Acknowledgments

The research work presented in this chapter is supported by the National Natural Science Foundation of China (Project No. 50808048) and the National Science and Technology supporting Program of China (Project No. 2006BAJ10B05-03).

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Correspondence to Xinjun Wang .

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Zhou, R., Su, H., Wang, X., Hu, Y., Zhang, F. (2013). Application of Land Use Model Combined with GIS and RS Technology in Supporting Urban Spatial Planning. In: Geertman, S., Toppen, F., Stillwell, J. (eds) Planning Support Systems for Sustainable Urban Development. Lecture Notes in Geoinformation and Cartography, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37533-0_7

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