mlsanityData to 14 Oct 2026

BreizhCrops: A Time Series Dataset for Crop Type Mapping

arXiv 1905.11893 ↗First posted 28 May 2019cs.LG cs.CV stat.MLcited by 34

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Abstract (arXiv)

We present Breizhcrops, a novel benchmark dataset for the supervised classification of field crops from satellite time series. We aggregated label data and Sentinel-2 top-of-atmosphere as well as bottom-of-atmosphere time series in the region of Brittany (Breizh in local language), north-east France. We compare seven recently proposed deep neural networks along with a Random Forest baseline. The dataset, model (re-)implementations and pre-trained model weights are available at the associated GitHub repository (https://github.com/dl4sits/BreizhCrops) that has been designed with applicability for practitioners in mind. We plan to maintain the repository with additional data and welcome contributions of novel methods to build a state-of-the-art benchmark on methods for crop type mapping.

Key facts. Cited by 34 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 May 2019.

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Citing papers per year: 2021: 2; 2022: 9; 2023: 7; 2024: 4; 2025: 5; 2026: 7.

34 papers.

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  1. 2023ViTs for SITS: Vision Transformers for Satellite Image Time Seriescited by 56
  2. 2022EarthNets: Empowering AI in Earth Observationcited by 40
  3. 2022A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learningcited by 19
  4. 2021EuroCrops: A Pan-European Dataset for Time Series Crop Type Classificationcited by 13
  5. 2024Deep Learning for Satellite Image Time Series Analysis: A Reviewcited by 13
  6. 2021Context-self contrastive pretraining for crop type semantic segmentationcited by 11
  7. 2024EuroCropsML: A Time Series Benchmark Dataset For Few-Shot Crop Type Classificationcited by 11
  8. 2023Neural Koopman prior for data assimilationcited by 10
  9. 2023Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approachcited by 8
  10. 2023SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameterscited by 8
  11. 2022Embedding Earth: Self-supervised contrastive pre-training for dense land cover classificationcited by 6
  12. 2025FLAIR-HUB: Large-scale Multimodal Dataset for Land Cover and Crop Mappingcited by 6
22 more
  1. 2022Satellite Image Time Series Analysis for Big Earth Observation Datacited by 5
  2. 2025Wrapped Gaussian on the manifold of Symmetric Positive Definite Matricescited by 5
  3. 2022Self-supervised learning -- A way to minimize time and effort for precision agriculture?cited by 4
  4. 2022Riemannian optimization for non-centered mixture of scaled Gaussian distributionscited by 4
  5. 2022A systematic review of the use of Deep Learning in Satellite Imagery for Agriculturecited by 4
  6. 2023Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecastingcited by 3
  7. 2026Benchmarking Geospatial Foundation Models for Agriculture Applicationscited by 3
  8. 2026SwissCrop25: A National Multi-Year Benchmark for Operational Crop Mappingcited by 3
  9. 2022Investigating Temporal Convolutional Neural Networks for Satellite Image Time Series Classification: A surveycited by 2
  10. 2022Towards Global Crop Maps with Transfer Learningcited by 2
  11. 2023SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolutioncited by 1
  12. 2024Random matrix theory improved Fr'echet mean of symmetric positive definite matricescited by 1
  13. 2025Benchmarking for Practice: Few-Shot Time-Series Crop-Type Classification on the EuroCropsML Datasetcited by 1
  14. 2023Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoringcited by 0
  15. 2024Anticipatory Understanding of Resilient Agriculture to Climatecited by 0
  16. 2025T3S: Think in Thermal Time for Generalizable Crop Mapping from Satellite Image Time Seriescited by 0
  17. 2025Farm-Level, In-Season Crop Identification for Indiacited by 0
  18. 2026PhenoStitch: Training-Free Panoptic Crop Mapping from Satellite Image Time Seriescited by 0
  19. 2026Multi-Year Geospatial Reasoning using Interannually-Consistent Historical Predictions as a Free Input Modalitycited by 0
  20. 2026Temporal Sensitivity Analysis of Tessera Embeddingscited by 0
  21. 2026Foundation Models Meet Agriculture: Challenges Beyond Pretrainingcited by 0
  22. 2026A Machine Learning API for Earth Observation Data Cubes Based on openEOcited by 0