作者: XIAOLU ZHOU , YI-CHEN WANG
DOI: 10.1111/J.1745-5871.2010.00686.X
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摘要: In this study, we employed Geographical Information Systems and remote sensing techniques to investigate the impact of land-use/cover change on land surface temperature (LST) in a rapidly urbanisation city, Kunming south-west China. Spatial patterns LST use for 1992 2006 were derived from Landsat images examine how responded urban growth. Remote indices used quantify land-use types as explanatory variables modelling. The geographically weighted regression (GWR), location dependent model, was performed explore influences spatially varied conditions patterns. Results revealed that rapid altered local thermal environment, particularly increasing zone surrounding core. demonstrated water vegetation played an important role mitigating heat island effect, while built-up barren accounted increase LST. GWR improved goodness-of-fit modelling provided insights into relationship between conditions.