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摘要： 风云三号D星(FY-3D)是我国新一代极轨气象卫星。中分辨率光谱成像仪(MERSI-Ⅱ)是其携带的核心传感器之一，FY-3D对于全球数值天气预报、大气定量探测以及气候变化监测等具有重要意义。积雪面积比例产品是众多陆面产品之一，是水文模型和区域气候模型的主要输入参数。基于MERSI-Ⅱ数据发展了业务化提取积雪面积比例的算法，算法核心是混合像元分解。空间光谱端元提取(SSEE)的方法自动提取端元，全约束最小二乘法(FCLS)求解线性混合模型。解混结果叠合云掩膜得到FY-3D/MERSI-Ⅱ积雪面积比例数据(FY-FSC)。以Landsat 8的积雪面积比例数据(L-FSC)作为参考值对FY-FSC进行验证，同时将FY-FSC和MODIS积雪面积比例数据(M-FSC)进行比较。结果表明：FY-FSC的总体相关系数(R)为0.54，均方根误差(RMSE)为0.17，绝对平均误差(AME)为0.10；M-FSC总体R为0.41，RMSE为0.26，AME为0.29；利用积雪面积提取的精度评价因子K比较FY-FSC和M-FSC获取的总积雪面积的精度。结果表明：FY-FSC和M-FSC数据的平均K值分别为88.51%和86.78%，FY-FSC精度高于M-FSC。FY-FSC将作为试验参数纳入FY-3D/MERSI-Ⅱ积雪覆盖业务产品中，可填补国产卫星业务化反演积雪面积比例参数的空白。 关键词： FY-3D;  MERSI-Ⅱ;  端元提取;  混合像元分解;  积雪面积比例     Abstract: FY-3D is a new generation of polar orbiting meteorological satellites in China.The Medium Resolution Spectral Imager (MERSI-Ⅱ) is one of the core sensors it carries.It is of great significance for global numerical weather prediction，atmospheric quantitative detection，and climate change monitoring.The snow area ratio product is one of many land surface products and is the main input parameter for hydrological models and regional climate models.based on MERSI-Ⅱ data，this paper develops an algorithm for extracting the proportion of snow cover area.The core of the algorithm is mixed pixel decomposition.The Spatial Spectral Endmember Extraction (SSEE) algorithm automatically extracts the endmembers，and the Fully Constrained Least Squares (FCLS) solves the linear mixed model.The unmixed results were superimposed on the cloud mask to obtain FY-3D/MERSI-Ⅱ snow area ratio data (FY-FSC).The FY-FSC was verified by using the Landsat 8 snow area ratio data (L-FSC) as a reference value，and the FY-FSC and MODIS snow area ratio data (M-FSC) were compared.The results show that the overall root mean square error (RMSE) of FY-FSC is 0.17，the correlation coefficient (R) is 0.54，the Absolute Mean Error (AME) is0.10，the overall R of M-FSC is 0.41，RMSE is 0.26，and AME is 0.29.Using the accuracy evaluation factor K of the snow area extraction to compare the accuracy of the total snow area obtained by FY-FSC andM-FSC.The results show that the average K values of FY-FSC and M-FSC data are 88.51% and 86.78%，respectively，and the accuracy of FY-FSC is higher than that of M-FSC.FY-FSC will be included as a test parameter in the FY-3D/MERSI-Ⅱ snow cover business product，which can fill the blank of the domestic satellite operational inversion sub-pixel snow parameters.

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