26 July 2007 Pattern change and dynamic evolution of urban green space based on multi-temporal remote sensing images: a case study of Xuzhou City
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Abstract
Taking Xuzhou city as an example, the urban green space categories system are established using multi-temporal/-source remotely sensed images. After classification adopted decision tree and object-oriented methods, the urban green space pattern changes are captured and evolution rules are analyzed based on the landscape pattern indices on the patch/class and landscape metrics. In addition, the economic/social statistics are listed for quantitative analyzing dynamic evolution. Finally, the all driving factors impacting urban green space pattern are analyzed using the principal component analysis.
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Huapeng Zhang, Huapeng Zhang, Peijun Du, Peijun Du, Chen Pan, Chen Pan, Zuoxia Yin, Zuoxia Yin, "Pattern change and dynamic evolution of urban green space based on multi-temporal remote sensing images: a case study of Xuzhou City", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522P (26 July 2007); doi: 10.1117/12.760788; https://doi.org/10.1117/12.760788
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