Long-range cross-correlation between urban impervious surfaces and land surface temperatures

作者: Qin Nie , Jianhua Xu , Wang Man

DOI: 10.1007/S11707-015-0512-9

关键词: Complexity scienceMultifractal systemCross-correlationRange (statistics)Remote sensingLinear spectral mixture analysisThermal effectImpervious surfaceEnvironmental scienceThematic MapperClimatology

摘要: The thermal effect of urban impervious surfaces (UIS) is a complex problem. It thus necessary to study the relationship between UIS and land surface temperatures (LST) using complexity science theory methods. This paper investigates long-range cross-correlation LST with detrended analysis multifractal analysis, utilizing data from downtown Shanghai, China. estimates were obtained linear spectral mixture was retrieved through application mono-window algorithm, Landsat Thematic Mapper Enhanced Plus for 1997–2010. These results highlight positive across People’s Square in Shanghai. has long memory certain spatial range values, such that large increment likely be followed by LST. While observed over longer time period W–E direction (2002–2010) than N–S (2007–2010), these correlations show weakening during as urbanization increased.

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