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--- |
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title: Crop Map |
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emoji: 📉 |
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colorFrom: purple |
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colorTo: gray |
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sdk: docker |
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app_port: 8501 |
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pinned: false |
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short_description: Application for Automatic Crop Type Mapping |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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## Technologies Used |
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This project builds upon several open-source research initiatives: |
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* **[ESA WorldCereal](https://esa-worldcereal.org/):** Global crop mapping system funded by the European Space Agency. |
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* **[NASA Harvest Presto](https://github.com/nasaharvest/presto):** A lightweight, pre-trained transformer model for remote sensing timeseries. |
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* **[openEO GFMap](https://github.com/Open-EO/openeo-gfmap):** A generic framework for Earth Observation mapping applications. |
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* **Streamlit:** For the interactive web interface. |
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## Citations & References |
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If you use this tool or the underlying models, please consider citing the original authors: |
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**Presto Model:** |
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> Tseng, G., Zvonkov, I., Purohit, M., Rolnick, D., & Kerner, H. (2023). Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. *arXiv preprint arXiv:2304.14065*. |
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**WorldCereal System:** |
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> Van Tricht, K., Gobin, A., Gilliams, S., & Piccard, I. (2023). WorldCereal: a dynamic open-source system for global-scale crop mapping. *Earth System Science Data, 15*(12), 5491-5515. |
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## License |
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This project is licensed under the **MIT License**. |
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* **WorldCereal** code components are Apache-2.0 / MIT compatible. |
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* **Presto** model weights and code are released under MIT License. |
