تقرير
EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification
| العنوان: | EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classification |
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| المؤلفون: | Reuss, Joana, Macdonald, Jan, Becker, Simon, Richter, Lorenz, Körner, Marco |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Machine Learning |
| الوصف: | 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. Comment: 5 pages, 5 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2407.17458 |
| رقم الأكسشن: | edsarx.2407.17458 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |