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Global land cover data plays an important role on the global change research. At present, there are a variety of global land cover datasets. Those datasets are based on different classification systems and employ different methodologies. The inconsistencies may be a problem for studies of global change. This study analyzes the consistency of MCD12Q1 and Globcover datasets using type area consistency and spatial consistency at a national level and regional level. The results show that at the national level, the correlation coefficient of the type area totals of the two datasets is 82.98% and Kappa coefficient is 27.21%. Correlation coefficient of the type area totals of the two datasets at Northeast region, North China, Southwest region, Northwest region, Central and Southeast region and Qinghai-Tibet Plateau are 43.84%, 69.30%, 18.53%, 92.98%, 42.40%, 91.10%, respectively and Kappa coefficient are 7.41%, 20.45%, 6.33%, 32.63%, 16.37%, 26.15%, respectively.