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:1-39Unverified 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
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