While machine learning (ML) approaches are able to produce crop maps through the classification of remotely sensed imagery, the acquisition of high-quality training samples for ML remains challenging.
This dataset offers thousands of polygons on crop types collected within the Aral Sea Basin (ASB). It was collected in the scope of the project Central Asia Waters (CAWa, https://www.cawa-project.net/
