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为了论证FY-3/VIRR、FY-3/MERSI及EOS/MODIS影像之间协同反演的可行性,这些数据生成植被指数间的比较来说明.选取2012年覆盖黑河上游附近的多对同日过境的晴空数据,利用统计方法对比分析了FY-3/VIRR、FY-3/MERSI与EOS/MODIS的归一化植被指数.结果表明:FY-3/VIRR和FY-3/MERSI的NDVI与EOS/MODIS存在显著的相关性,相关系数均超过0.99;但3种数据所生成的NDVI也存在显著的差异.对引起NDVI差异的原因进行了详细分析,发现光谱响应函数、大气水汽、辐射定标、观测角度等都会对植被指数产生一定的影响;这些分析可以为以后多源遥感数据协同反演提供参考.,In order to demonstrate the feasibility of cooperative inversion of the vegetation indexes between FY-3/VIRR,FY-3/MERSI and EOS/MODIS,the NDVI from these data was compared.The authors se-lected 2012 year’s data of FY-3/VIRR,FY-3/MERSI and EOS/MODIS which is covering the upstream of the Heihe and less cloudiness.The statistical method was used to study correlation of NDVI from the se-lected data.The result shows that there are significant correlations of NDVI from the data of FY-3/VIRR, FY-3/MERSI and EOS/MODIS,and all the correlation coefficients exceeded 0.99.But significant differ-ences are also exist between these data.The causes of NDVI differences were analyzed in detail,and found that spectral response function,atmospheric water vapor,radiometric calibration,viewing angle have a cer-tain impact on vegetation index.These analyzes can provide a reference for cooperative inversion of multi-source remote sensing data.