← Papers

Unverified paper record

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

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.

Plant phenotyping relevance

タイトルから、ハイパースペクトル画像と深層学習による植物形質推定の不確実性評価に関する補足資料であり、形質取得・推定手法の検証が中心と判断できる。

titleUncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data

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

This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.