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A Unified Cropland Layer at 250 m for Global Agriculture Monitoring., , , , , , , , , and 6 other author(s). Data, 1 (1): 3 (2016)Major forest changes and land cover transitions based on plant functional types derived from the ESA CCI Land Cover product., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (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)COIVD-19 Impact Monitoring for Agriculutre., , , , , , , , , and 6 other author(s). IGARSS, page 1567-1570. IEEE, (2021)Automated Training Sample Extraction for Global Land Cover Mapping., , , , , and . Remote Sensing, 6 (5): 3965-3987 (2014)Optimal Sample Size and Composition for Crop Classification with Sen2-Agri's Random Forest Classifier., , , , , , , and . Remote. Sens., 15 (3): 608 (February 2023)New global land cover mapping exercise in the framework of the ESA Climate Change Initiative., , , , , and . IGARSS, page 44-47. IEEE, (2012)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 for agriculture national demonstration in ukraine: Results and further steps., , , , , , , and . IGARSS, page 5842-5845. IEEE, (2017)Performance Assessment of the Sen4CAP Mowing Detection Algorithm on a Large Reference Data Set of Managed Grasslands., , , , , , and . IGARSS, page 743-746. IEEE, (2021)