Hyperspectral data of understory elements in boreal forests: In situ and laboratory measurements

Enhancing our understanding of the spectral properties of forest elements is essential for interpreting airborne and satellite-borne remote sensing data. This article presents two datasets on the spectral properties of understory elements in boreal forests collected with close-range hyperspectral measurements. We conducted two field campaigns in June and July 2023 in Finland to acquire spectral measurements at wavelengths from 350 to 2500 nm using an ASD FieldSpec 4 spectrometer for forest understory elements. We measured ferns, decaying wood, common wood sorrel and May lily in situ. In a laboratory, we measured leaves from European fly honeysuckle, alder buckthorn and common hazel. These data support the analysis of vegetation characteristics, training of classification algorithms and improvement of forest radiative transfer models, and could be used to evaluate the potential of hyperspectral data to discriminate the understory elements of boreal forest.

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Publication Details

Journal
Data in Brief
Published
2024-10-24
DOI
https://doi.org/10.1016/j.dib.2024.111068
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00

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article

Hyperspectral data of understory elements in boreal forests: In situ and laboratory measurements

Aarne Hovi, Audrey Mercier, Miina Rautiainen, Susanna Karlqvist
Data in Brief
Remote Sensing in Agriculture
article

Hyperspectral data of understory elements in boreal forests: In situ and laboratory measurements

Aarne Hovi, Audrey Mercier, Miina Rautiainen, Susanna Karlqvist
article en

Abstract

Enhancing our understanding of the spectral properties of forest elements is essential for interpreting airborne and satellite-borne remote sensing data. This article presents two datasets on the spectral properties of understory elements in boreal forests collected with close-range hyperspectral measurements. We conducted two field campaigns in June and July 2023 in Finland to acquire spectral measurements at wavelengths from 350 to 2500 nm using an ASD FieldSpec 4 spectrometer for forest understory elements. We measured ferns, decaying wood, common wood sorrel and May lily in situ. In a laboratory, we measured leaves from European fly honeysuckle, alder buckthorn and common hazel. These data support the analysis of vegetation characteristics, training of classification algorithms and improvement of forest radiative transfer models, and could be used to evaluate the potential of hyperspectral data to discriminate the understory elements of boreal forest.

Data in BriefVol. 57
Aalto University (FI)
European Commission, Academy of Finland
Climate action
Openalex Percentile: Top 82%
Remote Sensing in Agriculture
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