Pattern change and dynamic evolution of urban green space based on multi-temporal remote sensing images: a case study of Xuzhou City
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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DOI：
10.1117/12.760788
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发表时间：
2007-06
期刊：
影响因子：
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通讯作者：
Huapeng Zhang;Peijun Du;C. Pan;Zuoxia Yin
中科院分区：
文献类型：
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作者：
Huapeng Zhang;Peijun Du;C. Pan;Zuoxia Yin
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.
