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油蒿群落覆盖度是判断毛乌素沙地荒漠化程度严重与否的直接指标,其信息的准确获取有助于更为合理的荒漠化监测与评价。本研究以Landsat ETM+为数据源,深入探讨了光谱混合分析过程中影像预处理、端元选取、光谱混合模型选择及光谱混合分析结果分析等关键问题,给出了恰当的解决方案,进而进行了油蒿群落覆盖度的提取,并通过野外实测数据对提取结果进行了验证。验证结果表明:基于光谱混合分析技术提取的油蒿群落分量与实测油蒿群落覆盖度线性相关显著,相关系数为0.88,因而研究区的油蒿群落覆盖度可以通过油蒿群落分量的线性变换得到。因此,光谱混合分析是提取毛乌素沙地油蒿群落覆盖度的有效技术。
Coverage of Artemisia ordosica community is a direct indicator to judge the degree of desertification in Mu Us sandy land. Accurate access to its information can contribute to more reasonable desertification monitoring and evaluation. In this study, the key issues of image preprocessing, endmember selection, spectral mixing model selection and spectral mixing analysis were analyzed in detail based on Landsat ETM + data source, and the appropriate solutions were given. Artemisia ordosica community coverage extraction, and through field data to verify the extraction results. The results showed that the components of Artemisia ordosica community extracted based on spectral mixing analysis technique had a significant linear correlation with the coverage of Artemisia ordosica community, and the correlation coefficient was 0.88. Therefore, the coverage of Artemisia ordosica community in the study area could be obtained by linear transformation of Artemisia ordosica community components . Therefore, spectral mixing analysis is an effective technique to extract the coverage of Artemisia ordosica community in Mu Us sandland.