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

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Tutkimustuotos: Lehtiartikkeli › Article › Scientific › vertaisarvioitu

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48 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Artikkeli	108604
Sivumäärä	7
Julkaisu	Agricultural and Forest Meteorology
Vuosikerta	308-309
DOI - pysyväislinkit	https://doi.org/10.1016/j.agrformet.2021.108604
Tila	Julkaistu - 15 lokak. 2021
OKM-julkaisutyyppi	A1 Julkaistu artikkeli, soviteltu

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10.1016/j.agrformet.2021.108604Lisenssi: CC BY

1-s2.0-S0168192321002902-mainFinal published version, 4,08 MBLisenssi: CC BY

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FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra
Rautiainen, M., Hovi, A., Schraik, D., Juola, J. & Karlqvist, S.
01/05/2018 → 30/04/2024
Projekti: EU: ERC grants
DIMEBO: Boreaalisten metsien spektrinen diversiteetti
Rautiainen, M., Kuusinen, N., Juola, J. & Salko, S.
01/09/2019 → 30/06/2022
Projekti: Academy of Finland: Other research funding
BOREALITY: Boreaalisen metsän vuodenaikaisvaihteluiden mittaaminen avaruudesta: mikä on metsän albedon, tuotoksen ja fenologian yhteys?
Hovi, A., Rautiainen, M., Majasalmi, T., Juola, J. & Forsström, P.
01/09/2015 → 31/12/2019
Projekti: Academy of Finland: Other research funding

i3 – Industry Innovation Infrastructure
Panu Sainio (Manager)
Insinööritieteiden korkeakoulu
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Spectral lab
Miina Rautiainen (Manager)
Rakennetun ympäristön laitos
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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",

year = "2021",

month = oct,

day = "15",

doi = "10.1016/j.agrformet.2021.108604",

language = "English",

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journal = "Agricultural and Forest Meteorology",

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T1 - Relationships between understory spectra and fractional cover in northern European boreal forests

AU - Forsström, Petri R.

AU - Juola, Jussi

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

PY - 2021/10/15

Y1 - 2021/10/15

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.

KW - Forest reflectance

KW - Forest site type

KW - Hyperspectral

KW - Vegetation index

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U2 - 10.1016/j.agrformet.2021.108604

DO - 10.1016/j.agrformet.2021.108604

M3 - Article

AN - SCOPUS:85113740471

SN - 0168-1923

VL - 308-309

JO - Agricultural and Forest Meteorology

JF - Agricultural and Forest Meteorology

M1 - 108604

ER -

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

Abstrakti

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Projektit

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

DIMEBO: Boreaalisten metsien spektrinen diversiteetti

BOREALITY: Boreaalisen metsän vuodenaikaisvaihteluiden mittaaminen avaruudesta: mikä on metsän albedon, tuotoksen ja fenologian yhteys?

Laitteet

i3 – Industry Innovation Infrastructure

Spectral lab

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