Projects per year
Abstract
Understanding the reflectance anisotropy of forests and the underlying scattering mechanisms is needed to improve the accuracy of retrievals of fundamental forest characteristics from optical remote sensing data. In this paper, we developed a laboratory measurement set-up for a large goniometer (LAGOS) and measured multi-angular spectra (350–2500 nm) of 18 small trees, composed of three common European tree species: Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) H. Karst), sessile oak (Quercus petraea (Matt.) Liebl.). For all trees, we measured tree spectra in 47 view angles in the upper hemisphere. To our knowledge, this is the first study reporting multi-angular reflectance spectra of single trees. We also measured the reflectance and transmittance spectra of needles and leaves, as well as reflectance spectra of bark of the sample trees. We analyzed the spectro-directional characteristics of the trees, and the inter- and intraspecific variations of these characteristics. The anisotropy of trees was shown to be strongly asymmetrical and characteristic to species: while pine and spruce exhibited strong hotspot effects, oak showed a strong specular component. Our results indicate that simultaneous measurements of both spectral and directional characteristics of trees may enhance the discrimination of species and thus, support the retrieval of information of their biophysical properties.
Original language | English |
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Article number | 112302 |
Number of pages | 14 |
Journal | Remote Sensing of Environment |
Volume | 255 |
DOIs | |
Publication status | Published - 15 Mar 2021 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Anisotropy
- Goniometer
- Oak
- Pine
- Scattering
- Spruce
- Tree spectrum
Fingerprint
Dive into the research topics of 'Multi-angular reflectance spectra of small single trees'. Together they form a unique fingerprint.Datasets
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Spectral libraries of trees, leaves, needles and bark of three common European tree species
Hovi, A. (Creator), Forsström, P. (Creator), Ghielmetti, G. (Contributor), Schaepman, M. E. (Contributor) & Rautiainen, M. (Creator), Mendeley Data, 8 Feb 2021
DOI: 10.17632/7myhzwz6w9.1, https://data.mendeley.com/datasets/7myhzwz6w9
Dataset
Projects
- 2 Finished
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FREEDLES: From needles to landscapes: a novel approach to scaling forest spectra
Rautiainen, M. (Principal investigator)
01/05/2018 → 30/04/2024
Project: EU: ERC grants
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BOREALITY: Seasonal dynamics of the boreal region from space: connecting forest albedo to structure and productivity throughout the phenological cycle
Rautiainen, M. (Principal investigator)
01/09/2015 → 31/12/2019
Project: Academy of Finland: Other research funding
Equipment
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i3 – Industry Innovation Infrastructure
Sainio, P. (Manager)
School of EngineeringFacility/equipment: Facility
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Spectral lab (i3)
Rautiainen, M. (Manager)
Department of Built EnvironmentFacility/equipment: Facility
Research output
- 12 Citations
- 1 Data Article
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A dataset composed of multiangular spectral libraries and auxiliary data at tree, leaf, needle, and bark level for three common European tree species
Hovi, A., Forsström, P. R., Ghielmetti, G., Schaepman, M. E. & Rautiainen, M., Apr 2021, In: Data in Brief. 35, 14 p., 106820.Research output: Contribution to journal › Data Article › Scientific › peer-review
Open AccessFile4 Citations (Scopus)142 Downloads (Pure)