Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City
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Graphical Abstract
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Abstract
Landsat 8 images acquired on 20th of April in 2013 were used to extract vegetation information through a spectral mixture model in this research. Taking Chengdu city as an example, primary image was transferred into 7 bands through minimum noise fraction analysis and the first three bands were used to calculate the pure pixels. Four members including low-albedo building, high-albedo building, vegetation, and soil were selected as the input variables of land cover class terminal. Finally the vegetation coverage images in the study area were estimated.
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