---
title: Crop Map
emoji: 📉
colorFrom: purple
colorTo: gray
sdk: docker
app_port: 8501
pinned: false
short_description: Application for Automatic Crop Type Mapping

---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

## Technologies Used
This project builds upon several open-source research initiatives:

*   **[ESA WorldCereal](https://esa-worldcereal.org/):** Global crop mapping system funded by the European Space Agency.
*   **[NASA Harvest Presto](https://github.com/nasaharvest/presto):** A lightweight, pre-trained transformer model for remote sensing timeseries.
*   **[openEO GFMap](https://github.com/Open-EO/openeo-gfmap):** A generic framework for Earth Observation mapping applications.
*   **Streamlit:** For the interactive web interface.

## Citations & References
If you use this tool or the underlying models, please consider citing the original authors:

**Presto Model:**
> Tseng, G., Zvonkov, I., Purohit, M., Rolnick, D., & Kerner, H. (2023). Lightweight, Pre-trained Transformers for Remote Sensing Timeseries. *arXiv preprint arXiv:2304.14065*.

**WorldCereal System:**
> 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.

## License
This project is licensed under the **MIT License**.
*   **WorldCereal** code components are Apache-2.0 / MIT compatible.
*   **Presto** model weights and code are released under MIT License.