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Proceedings Paper

Pattern change and dynamic evolution of urban green space based on multi-temporal remote sensing images: a case study of Xuzhou City
Author(s): Huapeng Zhang; Peijun Du; Chen Pan; Zuoxia Yin
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Paper 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.

Paper Details

Date Published: 26 July 2007
PDF: 11 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522P (26 July 2007); doi: 10.1117/12.760788
Show Author Affiliations
Huapeng Zhang, China Univ. of Mining and Technology (China)
Peijun Du, China Univ. of Mining and Technology (China)
Chen Pan, China Univ. of Mining and Technology (China)
Zuoxia Yin, China Univ. of Mining and Technology (China)


Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information

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