metadata
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: Global crop mapping system funded by the European Space Agency.
- NASA Harvest Presto: A lightweight, pre-trained transformer model for remote sensing timeseries.
- 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.