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Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery.

, , , , , and . IGARSS, page 1149-1152. IEEE, (2021)

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Operational Agricultural Flood Monitoring with Sentinel-1 Synthetic Aperture Radar., , , , and . IGARSS, page 5831-5834. IEEE, (2018)Evaluating the impact of training data pixel level buffering on area sampling frame stratification results and crop estimates., , , and . IGARSS, page 4378-4381. IEEE, (2017)Deriving 2011 cultivated land cover data sets using usda National Agricultural Statistics Service historic Cropland Data Layers., , and . IGARSS, page 6297-6300. IEEE, (2012)Deriving crop specific covariate data sets from multi-year NASS geospatial cropland data layers., and . IGARSS, page 4225-4228. IEEE, (2013)Impact of Non-Proportional Training Sampling of Imbalanced Classes on Land Cover Classification Accuracy with See5 Decision Tree., and . IGARSS, page 9466-9469. IEEE, (2019)Curve recognition using B-spline representation., , and . WACV, page 213-220. IEEE, (1992)Foreword to the Special issue on Agro-Geoinformatics - The Applications of Geoinformatics in Agriculture., and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (11): 4315-4316 (2014)Invariant matching and identification of curves using B-splines curve representation., , and . IEEE Trans. Image Process., 4 (1): 1-10 (1995)Implicit Attention-Based Cross-Modal Collaborative Learning for Action Recognition., , , , , and . ICIP, page 3020-3024. IEEE, (2023)Online parameterization for WOFOST for United States using open geospatial standards, , , , , , , and . Agro-Geoinformatics (Agro-Geoinformatics), 2016 Fifth International Conference on, page 1--6. IEEE, (2016)