[2407.17458] EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
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Computer Science > Machine Learning

arXiv:2407.17458 (cs)
[Submitted on 24 Jul 2024]

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

Authors:Joana Reuss, Jan Macdonald, Simon Becker, Lorenz Richter, Marco Körner
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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.
Comments: 5 pages, 5 figures
Subjects: Machine Learning (cs.LG)
Cite as: arXiv:2407.17458 [cs.LG]
  (or arXiv:2407.17458v1 [cs.LG] for this version)
  https://doi.org/10.48550/arXiv.2407.17458

Submission history

From: Joana Reuss [view email]
[v1] Wed, 24 Jul 2024 17:50:54 UTC (7,668 KB)
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