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近20年上海市不透水地表时空格局分析 被引量:12

Analyzing Spatio-temporal Pattern of Impervious Surface for Recent Two Decades in Shanghai
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摘要 选取上海市近20年时间3期Landsat TM遥感影像,运用线性光谱混合模型和距离谱空间分析方法,提取城市不透水地表信息,分析其时空变化情况。研究结果表明,上海市近20年城市不透水地表迅速增长;不透水地表的平均密度从市中心到郊区随距离增加而梯度递减;不透水地表面积与密度水平存在分区差异。 In this paper, we developed a method of Linear Spec- tral Mixture Analysis (LSMA)to map impervious surface of Shanghai, which was derived from Landsat TM medium resolu- tion imageries in recent 20 years. Research result indicates that in the overall past two decades, impervious surface of Shanghai had a rapid growth, a regular decrease of impervious surface mean density occurred from downtown to suburbs with distance, and the area and its rate of impervious surface differs partially in administrative division.
出处 《测绘地理信息》 2014年第3期71-74,共4页 Journal of Geomatics
关键词 不透水地表 时空格局 线性光谱混合模型 impervious surface spatio-temporal pattern spectral mixture aAnalysis
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参考文献5

  • 1Changshan Wu,Alan T. Murray.Estimating impervious surface distribution by spectral mixture analysis[J].Remote Sensing of Environment.2002(4)
  • 2Pickett, Steward T A,Cadenasso, Mary L,Grove, J Morgan,Groffman, Peter M,Band, Lawrence E,Boone, Christopher G,Burch, William R,Grimmond, C Susan B,Hom, John,Jenkins, Jennifer C,Law, Neely L,Nilon, Charles H,Pouyat, Richard V,Szlavecz, Katalin,Warren, Paige S,Wilson, Matthew A.Beyond Urban Legends: An Emerging Framework of Urban Ecology, as Illustrated by the Baltimore Ecosystem Study[J].Bioscience.2008(2)
  • 3Dengsheng Lu,Qihao Weng.Use of impervious surface in urban land-use classification[J].Remote Sensing of Environment.2006(1)
  • 4George Xian.Satellite remotely-sensed land surface parameters and their climatic effects for three metropolitan regions[J].Advances in Space Research.2007(11)
  • 5Jiunn-Der Duh,Vivek Shandas,Heejun Chang,Linda A. George.Rates of urbanisation and the resiliency of air and water quality[J].Science of the Total Environment.2008(1)

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