Projects per year
Abstract
Physically based models simulating the spectral transmittance of solar radiation through forest canopies are useful tools for examining the connections between the shortwave radiation environment and the productivity and biodiversity of the forest floor. We report a comprehensive evaluation of two approaches simulating forest canopy spectral transmittance. The approaches were (i) three-dimensional radiative transfer modelling in canopies composed of individual trees filled with turbid media and (ii) photon recollision probability theory (p-theory), and were implemented using DART-FT and PARAS models, respectively. The simulations were evaluated against mean and standard deviation of canopy transmittance spectra measured under clear-sky conditions in forest plots across central and Northern Europe. In general, both models agreed well with the in situ measurements. They performed equally in conifer forests, while PARAS had a slightly lower accuracy than DART-FT in broadleaved forests. We conclude that both approaches produce realistic simulations of canopy spectral transmittance at the spatial scale tested in this study, and that p-theory constitutes a computationally efficient and easy-to-parameterize alternative to three-dimensional radiative transfer.
Original language | English |
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Pages (from-to) | 1859-1872 |
Number of pages | 14 |
Journal | Methods in Ecology and Evolution |
Volume | 15 |
Issue number | 10 |
Early online date | 22 Aug 2024 |
DOIs | |
Publication status | Published - Oct 2024 |
MoE publication type | A1 Journal article-refereed |
Keywords
- DART
- forest
- PARAS
- photon recollision probability
- radiative transfer modelling
- remote sensing
- shortwave radiation regime
- spectral transmittance
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Dive into the research topics of 'Physically based modelling of spectral transmittance through forest canopies'. Together they form a unique fingerprint.Datasets
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A spectral-structural characterization of European temperate, hemiboreal and boreal forests: Laboratory and field data
Hovi, A. (Creator), Schraik, D. (Creator), Hanuš, J. (Creator), Lukeš, P. (Creator), Lhotáková, Z. (Creator), Homolová, L. (Creator) & Rautiainen, M. (Creator), Fairdata , 25 Apr 2024
DOI: 10.23729/9a8d90cd-73e2-438d-9230-94e10e61adc9, https://etsin.fairdata.fi/dataset/ace2a123-00ff-4944-951e-eddbe209b70c
Dataset
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Physically-based modeling of spectral transmittance through forest canopies: data and code
Hovi, A. (Creator), Janoutová, R. (Creator), Malenovský, Z. (Creator), Schraik, D. (Creator), Gastellu-Etchegorry, J.-P. (Creator), Lauret, N. (Creator), Novotný, J. (Creator) & Rautiainen, M. (Creator), Fairdata , 13 Jul 2024
DOI: 10.23729/5b4dc41c-eb63-4e57-9e92-191a96c54341, https://etsin.fairdata.fi/dataset/b3e18155-f101-4401-a3a2-f2816ab6a492
Dataset
Projects
- 1 Finished
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FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra
Rautiainen, M. (Principal investigator), Hovi, A. (Project Member), Juola, J. (Project Member), Mercier, A. (Project Member), Salko, S.-S. (Project Member), Rönkkö, J. (Project Member), Karlqvist, S. (Project Member) & Schraik, D. (Project Member)
01/05/2018 → 30/04/2024
Project: EU: ERC grants