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Automated Training Sample Extraction for Global Land Cover Mapping., , , , , and . Remote Sensing, 6 (5): 3965-3987 (2014)Compilation and Validation of SAR and Optical Data Products for a Complete and Global Map of Inland/Ocean Water Tailored to the Climate Modeling Community., , , , , , , , , and . Remote. Sens., 9 (1): 36 (2017)Sentinel-2's Potential for Sub-Pixel Landscape Feature Detection., , , , , , , , and . Remote. Sens., 8 (6): 488 (2016)Hidden Markov Models for Annual Land Cover Mapping - Increasing Temporal Consistency and Completeness., , and . IEEE Trans. Geosci. Remote. Sens., (2022)Comparison and Assessment of Regional and Global Land Cover Datasets for Use in CLASS over Canada., , , , , , , and . Remote Sensing, 11 (19): 2286 (2019)A Unified Cropland Layer at 250 m for Global Agriculture Monitoring., , , , , , , , , and 6 other author(s). Data, 1 (1): 3 (2016)Towards a Multi-Level Sampling Scheme for Land Cover and Land Cover Change Validation. Lessons Learned from the Land Cover Climate Change Initiative., , , , and . IGARSS, page 1986-1989. IEEE, (2021)Characterizing the Congo Basin Forests by a Detailed Forest Typology Enriched with Forest Biophysical Variables., , , , , , and . IGARSS, page 673-676. IEEE, (2021)