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EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification

EuroCropsML provides a large dataset for few-shot crop type classification, enhancing algorithm development and comparability across Europe using Sentinel-2 data.

Year
2024
Venue
arXiv 2024
Authors
5
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arxiv.org/abs/2407.17458ARXIV-DEFAULT
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Abstract

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.

Authors

5