The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe
- We introduce EuroCropsML, an analysis-ready remote sensing dataset based on the open-source EuroCrops collection, for machine learning (ML) benchmarking of time series crop type classification in Europe. It is the first time-resolved remote sensing dataset designed to benchmark transnational few-shot crop type classification algorithms that supports advancements in algorithmic development and research comparability. It comprises 706683 multi-class labeled data points across 176 crop classes. Each data point features a time series of per-parcel median pixel values extracted from Sentinel-2 L1C data and precise geospatial coordinates. EuroCropsML is publicly available on Zenodo.
| Author: | Joana Reuss, Jan Macdonald, Simon Becker, Lorenz Richter, Marco Körner |
|---|---|
| Document Type: | Article |
| Parent Title (English): | Scientific Data |
| Volume: | 12 |
| Year of first publication: | 2025 |
| DOI: | https://doi.org/10.1038/s41597-025-04952-7 |

