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CropHarvest: A global dataset for crop-type classification., , , and . NeurIPS Datasets and Benchmarks, (2021)How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?, , , , , , and . CoRR, (2023)Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania., , , , , , and . Remote. Sens., 9 (8): 815 (2017)Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda., , , , and . CoRR, (2021)Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset., , and . CoRR, (2020)OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data., , , and . AAAI, page 14655-14663. AAAI Press, (2023)Rapid Response Crop Maps in Data Sparse Regions., , , , , , , and . CoRR, (2020)Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War., , , , , , and . CoRR, (2023)Learning To Predict Crop Type From Heterogeneous Sparse Labels Using Meta-Learning., , , and . CVPR Workshops, page 1111-1120. Computer Vision Foundation / IEEE, (2021)