metadata
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:
@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}
}