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基于光谱混合分析的荒漠化信息提取―――以毛乌素沙地为例

, PP. 192-198

Keywords: 光谱混合分析(SMA),荒漠化,毛乌素沙地,植被指数(NDVI)

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Abstract:

采用光谱混合分析(SMA)技术,选取农地、裸沙、沙生植被、水和盐碱地作为基本组分,以位于半干旱区的毛乌素沙地的典型地区为例,进行了荒漠化土地混合像元分解和荒漠化信息提取的尝试,并与穗帽变换和监督分类的结果进行了比较,最后采用实地调查数据和NDV I方法进行了精度验证。研究结果表明:光谱混合分析技术用于荒漠化信息提取具有比较好的效果,效果明显优于常用的NDV I方法。

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