Publications

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
Eya Cherif, Arthur Ouaknine, Luke A. Brown, Phuong D. Dao, Kyle R. Kovach, Bing Lu, Daniel Mederer, Hannes Feilhauer, Teja Kattenborn, David Rolnick.
ArXiv 2025
[paper][code][dataset]

Uncertainty assessment in deep learning-based plant trait retrievals from hyperspectral data. Cherif, E., Kattenborn, T., Brown, L. A., Ewald, M., Berger, K., Dao, P. D., … & Feilhauer, H. EGUsphere 2025 [paper]

Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model Mederer, D., Feilhauer, H., Cherif, E., Berger, K., Hank, T. B., Kovach, K. R., … & Kattenborn, T. (2025). ISPRS Open Journal of Photogrammetry and Remote Sensing. [paper]

From Spectra to Plant Functional Traits: Transferable Multi-Trait Models from Heterogeneous and Sparse Data. Cherif, E., Feilhauer, H., Berger, K., Dao, P. D., Ewald, M., Hank, T. B., … & Kattenborn, T. (2023). Remote Sensing of Environment. [paper]

DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and Modal Sentinel Data of the Amazon Basin. Cherif, E., Hell, M., & Brandmeier, M. (2022).
Remote Sensing. [paper]