https://github.com/dida-do/eurocropsml-transfer-learning

Collected publications and code repositories from the PreTrainAppEO ("Pre-Training Applicability in Earth Observation") research project.
https://github.com/dida-do/eurocropsml-transfer-learning

agriculture benchmarking crop-classification datasets deep-learning earth-observation few-shot-learning machine-learning meta-learning self-supervised-learning

Last synced: about 22 hours ago
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Collected publications and code repositories from the PreTrainAppEO ("Pre-Training Applicability in Earth Observation") research project.

• Host: GitHub
• URL: https://github.com/dida-do/eurocropsml-transfer-learning
• Owner: dida-do
• License: mit
• Created: 2024-04-25T09:59:28.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2026-05-22T08:18:56.000Z (13 days ago)
• Last Synced: 2026-05-22T15:43:38.823Z (12 days ago)
• Topics: agriculture, benchmarking, crop-classification, datasets, deep-learning, earth-observation, few-shot-learning, machine-learning, meta-learning, self-supervised-learning
• Homepage: https://dida.do/de/news/pretrainappeo-ein-gemeinsames-bmwi-forschungsprojekt-von-dida-und-tu-muenchen-lmf
• Size: 12.7 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# eurocropsml-transfer-learning

Collected publications and code repositories from the *[PreTrainAppEO](https://www.asg.ed.tum.de/en/lmf/pretrainappeo/) ("Pre-Training Applicability in Earth Observation") research project.*

## Dataset

📓 Reuss, J., Macdonald, J., Becker, S. et al. **The EuroCropsML time series benchmark dataset for few-shot crop type classification in Europe.** _Sci Data 12, 664 (2025)._ https://doi.org/10.1038/s41597-025-04952-7

- 🔗 [eurocropsml](https://github.com/dida-do/eurocropsml)\

  _Benchmark dataset for few-shot crop type classification._

  

## Methods

:notebook: Reuss, J., Macdonald, J., Becker, S. et al. **Benchmarking for practice: Few-shot time-series crop-type classification on the EuroCropsML dataset.** _ISPRS Open Journal of Photogrammetry and Remote Sensing 19 (2026)._ https://doi.org/10.1016/j.ophoto.2026.100117.

- 🔗 [eurocropsml-meta-learning](https://github.com/jsreu/EurocropsML-Meta-Learning)\

  _Meta-learning for crop type classification transfer learning._

- 🔗 [eurocropsml-ssl](https://github.com/jsreu/EuroCropsML-SSL)\

  _Self-supervised-learning for crop type classification transfer learning._