作者: Qin Nie , Jianhua Xu , Wang Man
DOI: 10.1007/S11707-015-0512-9
关键词: Complexity science 、 Multifractal system 、 Cross-correlation 、 Range (statistics) 、 Remote sensing 、 Linear spectral mixture analysis 、 Thermal effect 、 Impervious surface 、 Environmental science 、 Thematic Mapper 、 Climatology
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.