A spectral library of branches for seven boreal and temperate tree species

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Abstract

Branches have a distinct effect on forest canopy reflectance spectra. Spectral data on branches are therefore essential for interpretation of optical remote sensing data with radiative transfer modeling and machine learning-based approaches. This article presents laboratory-measured reflectance spectra of branches from seven boreal and temperate tree species. A total of 84 branch samples from 21 individual trees representing coniferous and broadleaf tree species were collected in southern Finland between September and November 2024. Spectral measurements were conducted under laboratory conditions using an ASD FieldSpec 4 Standard-Res spectroradiometer (351–2500 nm), combined with either a contact probe setup or an integrating sphere setup, and a halogen light source. These data support more accurate interpretations of multi- and hyperspectral remote sensing data.

Original languageEnglish
Article number112255
JournalData in Brief
Volume63
DOIs
Publication statusPublished - Dec 2025
MoE publication typeA1 Journal article-refereed

Funding

We thank Jaan Rönkkö for his significant contributions to the field work and Matti Mõttus for his advice in designing the laboratory measurement setups. We also thank Daniel Richterich (University of Helsinki Viikki Arboretum) and Katariina and Matti Hovi for supporting the sample collection. This study was mainly funded by the Foundation for Research of Natural Resources in Finland. Data collection was supported also by the Research Council of Finland (funding decision Nr 363934, 341963). This study also received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme [grant agreement No 771049/Rautiainen]. The text reflects only the authors’ view and the Agency is not responsible for any use that may be made of the information it contains. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This study was mainly funded by the Foundation for Research of Natural Resources in Finland. Data collection was supported also by the Research Council of Finland (funding decision Nr 363934, 341963). This study also received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme [grant agreement No 771049/Rautiainen]. The text reflects only the authors’ view and the Agency is not responsible for any use that may be made of the information it contains.

Keywords

  • Forest
  • Reflectance modelling
  • Remote sensing
  • Spectroscopy

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