归一化光谱分解模型在城市化信息提取中的应用

Application of Normalized Linear Spectral Mixture in Urban Information Extract

以2001年7月11日LandsatETM7影像和2009年7月16日TM影像为数据源,基于V-I-S理论模型,采用归一化光谱分解模型提取了乌鲁木齐市区范围内2个时段的植被、土壤、不透水层3个连续地表参数分量。通过对不透水层不同阈值的划分,提取了2时段的乌鲁木齐市城市发展的空间信息,结果较为满意;通过空间叠加计算方式获取了8年来乌鲁木齐市城市化发展的空间信息和主要拓展方向。结果表明,乌鲁木齐城市化发展速度较快,特别是北扩趋势显著。

Estimating the distribution of impervious surface, a major component of the vegetation-impervious surface-soil (V-I-S) model is important in monitoring urban areas and understanding human activities. In this paper, impervious surface distribution, together with vegetation and soil cover, was estimated through a fully normalized linear spectral mixture model using Landsat Enhanced Thematic Mapper Plus (ETM+) and landsat Thematic Mapper(TM) data within the metropolitan area of Urumqi, Xinjiang in China. Three endmembers, impervious surface, vegetation, and soil were selected to model heterogeneous urban land cover. Impervious surface fraction was calculated and classified to three levels: low, medium and high developed urban area for evaluating quantitatively the process of urban in Urumqi for the last 8 years. The results indicate that impervious surface distribution can be derived from remotely sensed imagery and examine the urbanization in the study area.