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Supplementary material to "Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data"

Eya Cherif · Teja Kattenborn · Luke A. Brown · Michael Ewald · Katja Berger · Phuong D. Dao · Tobias B. Hank · Etienne Laliberté · Bing Lu · Hannes Feilhauer

Copernicus GmbH · 9 Apr 2025 · 10.5194/egusphere-2025-1284-supplement

Abstract

Abstract has not been obtained from indexed metadata or an accessible article page.

Code and data availability

The supplement (Table S3) enumerates the public hyperspectral/phenotype datasets used to train and evaluate the paper's deep-learning trait retrieval and uncertainty models. These include EcoSIS canopy spectra-trait datasets, Dryad airborne imaging spectroscopy data, GFZ EnMAP preparatory campaign datasets, an FRDR fol

Datasetpublic

Gravel, A., Laliberté, E., Kalacska, M. (2024). Foliar Functional Trait Mapping of a mixed temperate forest using imaging spectroscopy. Federated Research Data Repository. https://doi.org/10.20383/103.0922

Open resource ↗Federated Research Data Repository · 10.20383/103.0922 · pdf-page:9 lines:1-39