Title: Coupling relationship of land surface temperature-vegetation abundance for urban heat island studies
Abstract: Remote sensing of urban heat islands(UHIs) has traditionally used the Normalized Difference Vegetation Index(NDVI) as the indicator of vegetation abundance to estimate the land surface temperature(LST)-vegetation relationship.This study investigated the applicability of vegetation fraction derived from a spectral mixture model as an alternative indicator of vegetation abundance.This is based on examination of a Landsat Enhanced Thematic Mapper Plus(ETM+) image of Haizhu district,Guangzhou City,acquired on September 14,2000.The transformed ETM+ image was unmixed into three fraction images(green vegetation,impervious surface,and water) with a constrained least-square solution.These fraction images were then used for land cover classification based on a hybrid classification procedure that combined maximum likelihood and decision tree algorithms.The results showed that LST possessed a slightly stronger negative correlation with the unmixed vegetation fraction than with NDVI for all land cover types.The spatial variability of texture in LST was positively correlated with those in NDVI and in vegetation fraction.The interplay between thermal and vegetation dynamics in the context of different land cover types leads to the variations in spectral radiance and texture in LST.These variations are also present in the other imagery,and are responsible for the spatial patterns of urban heat islands.
Publication Year: 2006
Publication Date: 2006-01-01
Language: en
Type: article
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