Abstract
Based on the measurement of the ground spectral reflectance of basal land covers and the accurate atmospheric correction for Landsat TM data,the authors improved the linear spectral mixture model(LSU)and developed a vegetation coverage retrieval model suitable for southern China.The effects of the atmospheric environment and the imaging time of remote sensing data were both reduced,contributing to the multi-temporal comparison,by the utilization of the ground spectral reflectance from field survey.The soil moisture factor was considered to eliminate its remarkable spatial differentiation error in southern China.The vegetation coverage retrieval model was proved to be efficient with high precision over the in situ field verification and was applied to extract the vegetation coverage information in Guangzhou from 1998 to 2009.It is inferred that the urbanization,the large-scale architectural engineering and the reclamation activities constitute the main factors responsible for the formation of the spatio-temporal vegetation change in this area.
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