【摘要】 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NDVI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NDVI方法。更多还原

【Abstract】 In this study,in order to accurately extract desertification information based on remote sensing data,Spectral Mixture Analysis(SMA) was conducted in a typical area of Mu Us Sandland in semiarid region by taking farmland,sands,psammophytic vegetation,water and salinized land as endmembers.A comparison was made among SMA,TC transformation and supervised classification.The accuracy on the result was validated based on field survey data and compared with NDVI method.The result suggested that SMA could be used for extracting desertification information with an obviously better output based on remote sensing data than NDVI method.更多还原