| --- |
| license: cc-by-nc-4.0 |
| datasets: |
| - Avatarr05/GreenHyperSpectra |
| language: |
| - en |
| tags: |
| - semi/self-supervised |
| - hyperspectral |
| - plant-traits |
| - remote-sensing |
| - vegetation |
| - multi-regression |
| --- |
| |
| ## Citation |
| If you use these models and wnat to learn more, please cite and refer the following paper: |
|
|
| ```bibtex |
| @article{cherif2025greenhyperspectra, |
| title={GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction}, |
| author={Cherif, Eya and Ouaknine, Arthur and Brown, Luke A and Dao, Phuong D and Kovach, Kyle R and Lu, Bing and Mederer, Daniel and Feilhauer, Hannes and Kattenborn, Teja and Rolnick, David}, |
| journal={arXiv preprint arXiv:2507.06806}, |
| year={2025} |
| } |
| ``` |
