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

• URL: http://arxiv.org/abs/2407.17458v1
• Date: Wed, 24 Jul 2024 17:50:54 GMT
• Title: EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
• Authors: Joana Reuss, Jan Macdonald, Simon Becker, Lorenz Richter, Marco Körner,
• Abstract summary: EuroCropsML is an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe. Based on the open-source EuroCrops collection, EuroCropsML is publicly available on Zenodo.
• Score: 9.670182163018804
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

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