Direct retrieval of the shape of leaf spectral albedo from multiangular hyperspectral Earth observation data

Matti Mõttus, Miina Rautiainen

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)

Abstract

Physically-based retrieval of vegetation canopy properties from remote sensing data presumes a knowledge of the spectral albedo of the basic scattering unit, i.e. leaf. In this paper, we present a novel method to directly retrieve the spectral dependence of leaf single-scattering albedo of a closed broadleaf forest canopy from multiangular hyperspectral satellite imagery. The new algorithm is based on separating the reflected signal into a linear (first-order) and non-linear (diffuse) reflectance component. A limitation of the proposed algorithm is that the leaf single-scattering albedo ω(λ) is retrieved with an accuracy of a structural parameter (called a0) which, in turn, depends on canopy bidirectional gap probability, ratio of leaf reflectance to transmittance, and distribution of leaf normals. The structural parameter (a0) was found to depend on tree-level structural parameters, such as tree height and volume of a single crown, but not the amount of leaf area.

Original languageEnglish
Pages (from-to)1799-1807
Number of pages9
JournalRemote Sensing of Environment
Volume113
Issue number9
DOIs
Publication statusPublished - 1 Sep 2009
MoE publication typeA1 Journal article-refereed

Fingerprint

albedo (reflectance)
albedo
Earth (planet)
Scattering
scattering
leaves
Satellite imagery
reflectance
canopy
Remote sensing
transmittance
forest canopy
satellite imagery
leaf area
tree crown
remote sensing
vegetation
parameter

Keywords

  • Canopy structure
  • CHRIS PROBA
  • Hyperspectral reflectance
  • Imaging spectroscopy
  • Leaf albedo
  • Multiangular reflectance

Cite this

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title = "Direct retrieval of the shape of leaf spectral albedo from multiangular hyperspectral Earth observation data",
abstract = "Physically-based retrieval of vegetation canopy properties from remote sensing data presumes a knowledge of the spectral albedo of the basic scattering unit, i.e. leaf. In this paper, we present a novel method to directly retrieve the spectral dependence of leaf single-scattering albedo of a closed broadleaf forest canopy from multiangular hyperspectral satellite imagery. The new algorithm is based on separating the reflected signal into a linear (first-order) and non-linear (diffuse) reflectance component. A limitation of the proposed algorithm is that the leaf single-scattering albedo ω(λ) is retrieved with an accuracy of a structural parameter (called a0) which, in turn, depends on canopy bidirectional gap probability, ratio of leaf reflectance to transmittance, and distribution of leaf normals. The structural parameter (a0) was found to depend on tree-level structural parameters, such as tree height and volume of a single crown, but not the amount of leaf area.",
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Direct retrieval of the shape of leaf spectral albedo from multiangular hyperspectral Earth observation data. / Mõttus, Matti; Rautiainen, Miina.

In: Remote Sensing of Environment, Vol. 113, No. 9, 01.09.2009, p. 1799-1807.

Research output: Contribution to journalArticleScientificpeer-review

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AU - Mõttus, Matti

AU - Rautiainen, Miina

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N2 - Physically-based retrieval of vegetation canopy properties from remote sensing data presumes a knowledge of the spectral albedo of the basic scattering unit, i.e. leaf. In this paper, we present a novel method to directly retrieve the spectral dependence of leaf single-scattering albedo of a closed broadleaf forest canopy from multiangular hyperspectral satellite imagery. The new algorithm is based on separating the reflected signal into a linear (first-order) and non-linear (diffuse) reflectance component. A limitation of the proposed algorithm is that the leaf single-scattering albedo ω(λ) is retrieved with an accuracy of a structural parameter (called a0) which, in turn, depends on canopy bidirectional gap probability, ratio of leaf reflectance to transmittance, and distribution of leaf normals. The structural parameter (a0) was found to depend on tree-level structural parameters, such as tree height and volume of a single crown, but not the amount of leaf area.

AB - Physically-based retrieval of vegetation canopy properties from remote sensing data presumes a knowledge of the spectral albedo of the basic scattering unit, i.e. leaf. In this paper, we present a novel method to directly retrieve the spectral dependence of leaf single-scattering albedo of a closed broadleaf forest canopy from multiangular hyperspectral satellite imagery. The new algorithm is based on separating the reflected signal into a linear (first-order) and non-linear (diffuse) reflectance component. A limitation of the proposed algorithm is that the leaf single-scattering albedo ω(λ) is retrieved with an accuracy of a structural parameter (called a0) which, in turn, depends on canopy bidirectional gap probability, ratio of leaf reflectance to transmittance, and distribution of leaf normals. The structural parameter (a0) was found to depend on tree-level structural parameters, such as tree height and volume of a single crown, but not the amount of leaf area.

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