Pattern change and dynamic evolution of urban green space based on multi-temporal remote sensing images: a case study of Xuzhou City

Huapeng Zhang; Peijun Du; Chen Pan; Zuoxia Yin

doi:10.1117/12.760788

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

Huapeng Zhang, Peijun Du, Chen Pan, Zuoxia Yin

Author Affiliations +

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67522P (2007) https://doi.org/10.1117/12.760788
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Huapeng Zhang, Peijun Du, Chen Pan, and 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); https://doi.org/10.1117/12.760788

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