BREIZHCROPS: A TIME SERIES DATASET FOR CROP TYPE MAPPING

18 citations as recorded by crossref.

1. Continuous Land Cover Change Detection in a Critically Endangered Shrubland Ecosystem Using Neural Networks G. Moncrieff 10.3390/rs14122766
2. Transfer learning approach based on satellite image time series for the crop classification problem O. Antonijević et al. 10.1186/s40537-023-00735-2
3. Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions A. Collas et al. 10.1109/TSP.2023.3290354
4. 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
5. Analysis of clustering methods for crop type mapping using satellite imagery A. Rivera et al. 10.1016/j.neucom.2022.04.002
6. AI4SmallFarms: A Dataset for Crop Field Delineation in Southeast Asian Smallholder Farms C. Persello et al. 10.1109/LGRS.2023.3323095
7. Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition Á. Escottá et al. 10.3390/s22114226
8. Semantic segmentation of satellite images for crop type identification in smallholder farms P. Buttar & M. Sachan 10.1007/s11227-023-05533-4
9. 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
10. AiTLAS: Artificial Intelligence Toolbox for Earth Observation I. Dimitrovski et al. 10.3390/rs15092343
11. Channel Attention-Based Temporal Convolutional Network for Satellite Image Time Series Classification P. Tang et al. 10.1109/LGRS.2021.3095505
12. Satellite Image Time Series Analysis for Big Earth Observation Data R. Simoes et al. 10.3390/rs13132428
13. 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
14. EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union M. Schneider et al. 10.1038/s41597-023-02517-0
15. 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
16. Boost Precision Agriculture with Unmanned Aerial Vehicle Remote Sensing and Edge Intelligence: A Survey J. Liu et al. 10.3390/rs13214387
17. 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
18. 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