Relationships between understory spectra and fractional cover in northern European boreal forests

Petri R. Forsström; Jussi Juola; Miina Rautiainen

doi:10.1016/j.agrformet.2021.108604

Relationships between understory spectra and fractional cover in northern European boreal forests

Petri R. Forsström^*, Jussi Juola, Miina Rautiainen

^*Corresponding author for this work

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Abstract

Modern satellite and airborne optical images have increasingly higher resolutions and enable the study of all layers of forests, not just the forest canopy. To understand the contribution of different types of understory on the overall spectral reflectance signal, ground reference data are needed from different types of forests. In this paper, we present the analysis of spectral reflectance factors (350-2300 nm) and fractional covers of understory from 36 boreal forest stands. The data were collected during peak growing season in a southern boreal forest area in Finland. The study stands represent four different forest site fertility types. We used a spectrometer to measure understory spectra in nadir and vegetation quadrats to estimate fractional cover. We showed that the understory has specific spectral features related to the site fertility type and fractional cover. Our results suggest that remote sensing can be used to differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests. The collected data are openly available in an open data repository.

Original language	English
Article number	108604
Number of pages	7
Journal	Agricultural and Forest Meteorology
Volume	308-309
DOIs	https://doi.org/10.1016/j.agrformet.2021.108604
Publication status	Published - 15 Oct 2021
MoE publication type	A1 Journal article-refereed

Keywords

Forest reflectance
Forest site type
Hyperspectral
Vegetation index

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10.1016/j.agrformet.2021.108604

1-s2.0-S0168192321002902-mainFinal published version, 4.08 MBLicence: CC BY

Cite this

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title = "Relationships between understory spectra and fractional cover in northern European boreal forests",

abstract = "Modern satellite and airborne optical images have increasingly higher resolutions and enable the study of all layers of forests, not just the forest canopy. To understand the contribution of different types of understory on the overall spectral reflectance signal, ground reference data are needed from different types of forests. In this paper, we present the analysis of spectral reflectance factors (350-2300 nm) and fractional covers of understory from 36 boreal forest stands. The data were collected during peak growing season in a southern boreal forest area in Finland. The study stands represent four different forest site fertility types. We used a spectrometer to measure understory spectra in nadir and vegetation quadrats to estimate fractional cover. We showed that the understory has specific spectral features related to the site fertility type and fractional cover. Our results suggest that remote sensing can be used to differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests. The collected data are openly available in an open data repository.",

keywords = "Forest reflectance, Forest site type, Hyperspectral, Vegetation index",

author = "Forsstr{\"o}m, {Petri R.} and Jussi Juola and Miina Rautiainen",

note = "| openaire: EC/H2020/771049/EU//FREEDLES Funding Information: We thank Aarne Hovi, Ville Ranta, and Daniel Schraik for collaboration. This work was supported by the Academy of Finland [BOREALITY, grant number 286390 ; and DIMEBO , grant number 3323004 ]; and by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [grant agreement No 771049 ]. The article reflects only the authors{\textquoteright} view and the Agency is not responsible for any use that may be made of the information it contains. Funding Information: We thank Aarne Hovi, Ville Ranta, and Daniel Schraik for collaboration. This work was supported by the Academy of Finland [BOREALITY, grant number 286390; and DIMEBO, grant number 3323004]; and by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [grant agreement No 771049]. The article reflects only the authors? view and the Agency is not responsible for any use that may be made of the information it contains. Publisher Copyright: {\textcopyright} 2021",

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AU - Rautiainen, Miina

N1 - | openaire: EC/H2020/771049/EU//FREEDLES Funding Information: We thank Aarne Hovi, Ville Ranta, and Daniel Schraik for collaboration. This work was supported by the Academy of Finland [BOREALITY, grant number 286390 ; and DIMEBO , grant number 3323004 ]; and by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [grant agreement No 771049 ]. The article reflects only the authors’ view and the Agency is not responsible for any use that may be made of the information it contains. Funding Information: We thank Aarne Hovi, Ville Ranta, and Daniel Schraik for collaboration. This work was supported by the Academy of Finland [BOREALITY, grant number 286390; and DIMEBO, grant number 3323004]; and by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme [grant agreement No 771049]. The article reflects only the authors? view and the Agency is not responsible for any use that may be made of the information it contains. Publisher Copyright: © 2021

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N2 - Modern satellite and airborne optical images have increasingly higher resolutions and enable the study of all layers of forests, not just the forest canopy. To understand the contribution of different types of understory on the overall spectral reflectance signal, ground reference data are needed from different types of forests. In this paper, we present the analysis of spectral reflectance factors (350-2300 nm) and fractional covers of understory from 36 boreal forest stands. The data were collected during peak growing season in a southern boreal forest area in Finland. The study stands represent four different forest site fertility types. We used a spectrometer to measure understory spectra in nadir and vegetation quadrats to estimate fractional cover. We showed that the understory has specific spectral features related to the site fertility type and fractional cover. Our results suggest that remote sensing can be used to differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests. The collected data are openly available in an open data repository.

AB - Modern satellite and airborne optical images have increasingly higher resolutions and enable the study of all layers of forests, not just the forest canopy. To understand the contribution of different types of understory on the overall spectral reflectance signal, ground reference data are needed from different types of forests. In this paper, we present the analysis of spectral reflectance factors (350-2300 nm) and fractional covers of understory from 36 boreal forest stands. The data were collected during peak growing season in a southern boreal forest area in Finland. The study stands represent four different forest site fertility types. We used a spectrometer to measure understory spectra in nadir and vegetation quadrats to estimate fractional cover. We showed that the understory has specific spectral features related to the site fertility type and fractional cover. Our results suggest that remote sensing can be used to differentiate forest site fertility types and estimate understory green fractional cover in northern European boreal forests. The collected data are openly available in an open data repository.

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KW - Hyperspectral

KW - Vegetation index

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JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

SN - 0168-1923

M1 - 108604

ER -

Relationships between understory spectra and fractional cover in northern European boreal forests

Abstract

Keywords

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DIMEBO: Spectral Diversity Metrics for Boreal Forests

FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra

BOREALITY: Seasonal dynamics of the boreal region from space: connecting forest albedo to structure and productivity throughout the phenological cycle

i3 – Industry Innovation Infrastructure

Spectral lab

Cite this

Relationships between understory spectra and fractional cover in northern European boreal forests

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Projects

DIMEBO: Spectral Diversity Metrics for Boreal Forests

FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra

BOREALITY: Seasonal dynamics of the boreal region from space: connecting forest albedo to structure and productivity throughout the phenological cycle

Equipment

i3 – Industry Innovation Infrastructure

Spectral lab

Cite this