EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
<|reference_start|>EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification: We introduce EuroCropsML, an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe. It is the first dataset designed to benchmark transnational few-shot crop type classification algorithms that supports advancements in algorithmic development and research comparability. It comprises 706 683 multi-class labeled data points across 176 classes, featuring annual time series of per-parcel median pixel values from Sentinel-2 L1C data for 2021, along with crop type labels and spatial coordinates. Based on the open-source EuroCrops collection, EuroCropsML is publicly available on Zenodo.<|reference_end|>
@article{reuss2024eurocropsml:,
    title={EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type
  Classification},
    author={Joana Reuss, Jan Macdonald, Simon Becker, Lorenz Richter, and Marco
  K"orner},
    journal={arXiv preprint arXiv:2407.17458},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.17458},
    primaryClass={cs.LG}
}