BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING

34 citations as recorded by crossref.

1. A Sentinel-2 Multiyear, Multicountry Benchmark Dataset for Crop Classification and Segmentation With Deep Learning D. Sykas et al. 10.1109/JSTARS.2022.3164771
2. Continuous Land Cover Change Detection in a Critically Endangered Shrubland Ecosystem Using Neural Networks G. Moncrieff 10.3390/rs14122766
3. Transfer learning approach based on satellite image time series for the crop classification problem O. Antonijević et al. 10.1186/s40537-023-00735-2
4. Neural Koopman Prior for Data Assimilation A. Frion et al. 10.1109/TSP.2024.3416828
5. A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification M. Bozo et al. 10.3390/jimaging6070068
6. Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series M. Lisaius et al. 10.1109/JSTARS.2024.3426044
7. Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery J. Sun et al. 10.3390/rs16091505
8. Deep Learning for Satellite Image Time-Series Analysis: A review L. Miller et al. 10.1109/MGRS.2024.3393010
9. Crop Classification with Attention Based BI-LSTM and Temporal Convolution Neural Network Combination for Remote Sensing Breizhcrop Time Series Data A. Bandar & A. Coşkunçay 10.53433/yyufbed.1335866
10. The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe J. Reuss et al. 10.1038/s41597-025-04952-7
11. Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions A. Collas et al. 10.1109/TSP.2023.3290354
12. Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset R. Wenger et al. 10.3390/rs15010151
13. ResNeTS: A ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction Á. Dieste et al. 10.1109/JSTARS.2024.3454271
14. Analysis of clustering methods for crop type mapping using satellite imagery A. Rivera et al. 10.1016/j.neucom.2022.04.002
15. AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello et al. 10.1109/LGRS.2023.3323095
16. Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition Á. Escottá et al. 10.3390/s22114226
17. Semantic segmentation of satellite images for crop type identification in smallholder farms P. Buttar & M. Sachan 10.1007/s11227-023-05533-4
18. Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence J. Yan et al. 10.1109/JSTARS.2022.3150430
19. Multi-Year Time Series Transfer Learning: Application of Early Crop Classification M. Račič et al. 10.3390/rs16020270
20. Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor J. Mai et al. 10.3390/rs17091494
21. Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series R. Sedona et al. 10.1109/LGRS.2023.3329428
22. Context-Self Contrastive Pretraining for Crop Type Semantic Segmentation M. Tarasiou et al. 10.1109/TGRS.2022.3198187
23. AiTLAS: Artificial Intelligence Toolbox for Earth Observation I. Dimitrovski et al. 10.3390/rs15092343
24. Advancing transnational assessments of biodiversity drivers in European agriculture with an updated hierarchical crop and agriculture taxonomy (HCAT) M. Schneider et al. 10.1038/s44264-024-00037-x
25. Channel Attention-Based Temporal Convolutional Network for Satellite Image Time Series Classification P. Tang et al. 10.1109/LGRS.2021.3095505
26. Satellite Image Time Series Analysis for Big Earth Observation Data R. Simoes et al. 10.3390/rs13132428
27. Crop Mapping without Labels: Investigating Temporal and Spatial Transferability of Crop Classification Models Using a 5-Year Sentinel-2 Series and Machine Learning T. Rusňák et al. 10.3390/rs15133414
28. EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union M. Schneider et al. 10.1038/s41597-023-02517-0
29. AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography R. d'Andrimont et al. 10.5194/essd-15-317-2023
30. Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey J. Liu et al. 10.3390/rs13214387
31. A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series S. Mohammadi et al. 10.1016/j.rse.2024.114385
32. Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification A. González-Ramírez et al. 10.3390/rs17030378
33. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning R. Khaldi et al. 10.5194/essd-14-1377-2022
34. Contrastive-Learning-Based Time-Series Feature Representation for Parcel-Based Crop Mapping Using Incomplete Sentinel-2 Image Sequences Y. Zhou et al. 10.3390/rs15205009