BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING

40 citations as recorded by crossref.

1. Continuous Land Cover Change Detection in a Critically Endangered Shrubland Ecosystem Using Neural Networks G. Moncrieff
2. Neural Koopman Prior for Data Assimilation A. Frion et al.
3. Using Barlow Twins to Create Representations From Cloud-Corrupted Remote Sensing Time Series M. Lisaius et al.
4. Enhancing Crop Mapping through Automated Sample Generation Based on Segment Anything Model with Medium-Resolution Satellite Imagery J. Sun et al.
5. Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions A. Collas et al.
6. 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.
7. ResNeTS: A ResNet for Time Series Analysis of Sentinel-2 Data Applied to Grassland Plant-Biodiversity Prediction Á. Dieste et al.
8. A Self-Supervised Learning Framework for Abandoned Cropland Identification Based on Transformer for Temporal–Spectral Sequences H. Zhou et al.
9. AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello et al.
10. Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition Á. Escottá et al.
11. Multi-Year Time Series Transfer Learning: Application of Early Crop Classification M. Račič et al.
12. Enhancing Crop Type Mapping in Data-Scarce Regions Through Transfer Learning: A Case Study of the Hexi Corridor J. Mai et al.
13. Context-Self Contrastive Pretraining for Crop Type Semantic Segmentation M. Tarasiou et al.
14. Advancing transnational assessments of biodiversity drivers in European agriculture with an updated hierarchical crop and agriculture taxonomy (HCAT) M. Schneider et al.
15. EarthNets: Empowering artificial intelligence for Earth observation Z. Xiong et al.
16. Multimodal Satellite-Field Data Integration for Scalable Crop-Type Mapping With Limited Labels A. Abbas et al.
17. Satellite Image Time Series Analysis for Big Earth Observation Data R. Simoes et al.
18. 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.
19. EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union M. Schneider et al.
20. AI4Boundaries: an open AI-ready dataset to map field boundaries with Sentinel-2 and aerial photography R. d'Andrimont et al.
21. Optimizing crop type mapping for fairness I. Gorbunov et al.
22. SegTS: Subseries-driven temporo-spatial learning with Segment Anything Model for crop segmentation in satellite image time series J. Li et al.
23. A Sentinel-2 Multiyear, Multicountry Benchmark Dataset for Crop Classification and Segmentation With Deep Learning D. Sykas et al.
24. Transfer learning approach based on satellite image time series for the crop classification problem O. Antonijević et al.
25. A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification M. Bozo et al.
26. Deep Learning for Satellite Image Time-Series Analysis: A review L. Miller et al.
27. Crop Classification with Attention Based BI-LSTM and Temporal Convolution Neural Network Combination for Remote Sensing Breizhcrop Time Series Data A. Bandar & A. Coşkunçay
28. The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe J. Reuss et al.
29. Satellite-Based Crop Identification and Risk Profiling for Areawide Management of Whitefly and Tomato Yellow Leaf Curl Virus in Southwest Florida K. Li et al.
30. Semantic segmentation of satellite images for crop type identification in smallholder farms P. Buttar & M. Sachan
31. Land-Cover Classification With Time-Series Remote Sensing Images by Complete Extraction of Multiscale Timing Dependence J. Yan et al.
32. Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series R. Sedona et al.
33. AiTLAS: Artificial Intelligence Toolbox for Earth Observation I. Dimitrovski et al.
34. FLAIR-HUB: Large-scale multimodal dataset for land cover and crop mapping A. Garioud et al.
35. Channel Attention-Based Temporal Convolutional Network for Satellite Image Time Series Classification P. Tang et al.
36. Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey J. Liu et al.
37. A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series S. Mohammadi et al.
38. Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification A. González-Ramírez et al.
39. TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning R. Khaldi et al.
40. Contrastive-Learning-Based Time-Series Feature Representation for Parcel-Based Crop Mapping Using Incomplete Sentinel-2 Image Sequences Y. Zhou et al.