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Found 2 papers, 2 papers with code
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization
Crop type classification using satellite observations is an important tool for providing insights about planted area and enabling estimates of crop condition and yield, especially within the growing season when uncertainties around these quantities are highest.
Rapid Response Crop Maps in Data Sparse Regions
A major challenge for developing crop maps is that many regions do not have readily accessible ground truth data on croplands necessary for training and validating predictive models, and field campaigns are not feasible for collecting labels for rapid response.
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