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Improving global land cover characterization through data fusion., , and . Geo-spatial Information Science, 20 (2): 141-150 (2017)Methodology to select phenologically suitable Landsat scenes for forest change detection., , , , and . IGARSS, page 2613-2616. IEEE, (2011)Populating digital earth: improving access to Chinese remote sensing data for terrestrial applications., and . Int. J. Digit. Earth, 7 (12): 952-968 (2014)A new global raster water mask at 250 m resolution., , , , and . Int. J. Digit. Earth, 2 (4): 291-308 (2009)The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research., , , , , , , , , and 13 other author(s). IEEE Trans. Geosci. Remote. Sens., 36 (4): 1228-1249 (1998)Land-Cover Observations as Part of a Global Earth Observation System of Systems (GEOSS): Progress, Activities, and Prospects., , , , , , and . IEEE Syst. J., 2 (3): 414-423 (2008)Development of 500 meter vegetation continuous field maps using MODIS data., , , , , and . IGARSS, page 264-266. IEEE, (2003)Quality assessment of Landsat surface reflectance products using MODIS data., , , , , and . Comput. Geosci., 38 (1): 9-22 (2012)Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product., , , , , , , and . Int. J. Digit. Earth, 14 (2): 181-201 (2021)The impact of misregistration on change detection., , , and . IEEE Trans. Geosci. Remote. Sens., 30 (5): 1054-1060 (1992)