Photon recollision probability in modelling the radiation regime of canopies

A review

P. Stenberg (Corresponding Author), Matti Mõttus, M. Rautiainen

Research output: Contribution to journalReview ArticleScientificpeer-review

25 Citations (Scopus)

Abstract

Nearly two decades ago, the idea of the ‘spectral invariants theory’ was put forth as a new tool to model the shortwave radiation absorbed or scattered by vegetation. The theory states that the amount of radiation absorbed by a canopy should to a great accuracy depend only on the wavelength and a wavelength-independent parameter describing canopy structure. The revolutionary idea behind this theory was that it would be possible to approximate vegetation canopy absorptance, transmittance and reflectance based on only the optical properties of foliage elements and the spectrally invariant parameter(s). This paper explains how this so-called spectral invariant is related to photon recollision probability and to canopy structural variables. Other spectral invariants were later introduced to quantify the directionality of canopy scattering. Moreover, the paper reviews the advances in the theoretical development of the photon recollision probability (p) concept and demonstrates some of its applications in global and local monitoring of vegetation using remote sensing data.
Original languageEnglish
Pages (from-to)98-108
JournalRemote Sensing of Environment
Volume183
DOIs
Publication statusPublished - 2016
MoE publication typeA2 Review article in a scientific journal

Fingerprint

Photons
canopy
Radiation
modeling
wavelengths
vegetation
Wavelength
wavelength
shortwave radiation
transmittance
optical properties
Remote sensing
Optical properties
optical property
foliage
reflectance
remote sensing
Scattering
scattering
radiation

Keywords

  • Spectral invariants
  • Photon recollision probability
  • Radiative transfer
  • Conifer
  • DASF
  • PARAS model
  • Albedo
  • fPAR

Cite this

@article{50b4f31097164c4194b6dfa39efc84e6,
title = "Photon recollision probability in modelling the radiation regime of canopies: A review",
abstract = "Nearly two decades ago, the idea of the ‘spectral invariants theory’ was put forth as a new tool to model the shortwave radiation absorbed or scattered by vegetation. The theory states that the amount of radiation absorbed by a canopy should to a great accuracy depend only on the wavelength and a wavelength-independent parameter describing canopy structure. The revolutionary idea behind this theory was that it would be possible to approximate vegetation canopy absorptance, transmittance and reflectance based on only the optical properties of foliage elements and the spectrally invariant parameter(s). This paper explains how this so-called spectral invariant is related to photon recollision probability and to canopy structural variables. Other spectral invariants were later introduced to quantify the directionality of canopy scattering. Moreover, the paper reviews the advances in the theoretical development of the photon recollision probability (p) concept and demonstrates some of its applications in global and local monitoring of vegetation using remote sensing data.",
keywords = "Spectral invariants, Photon recollision probability, Radiative transfer, Conifer, DASF, PARAS model, Albedo, fPAR",
author = "P. Stenberg and Matti M{\~o}ttus and M. Rautiainen",
year = "2016",
doi = "10.1016/j.rse.2016.05.013",
language = "English",
volume = "183",
pages = "98--108",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier",

}

Photon recollision probability in modelling the radiation regime of canopies : A review. / Stenberg, P. (Corresponding Author); Mõttus, Matti; Rautiainen, M.

In: Remote Sensing of Environment, Vol. 183, 2016, p. 98-108.

Research output: Contribution to journalReview ArticleScientificpeer-review

TY - JOUR

T1 - Photon recollision probability in modelling the radiation regime of canopies

T2 - A review

AU - Stenberg, P.

AU - Mõttus, Matti

AU - Rautiainen, M.

PY - 2016

Y1 - 2016

N2 - Nearly two decades ago, the idea of the ‘spectral invariants theory’ was put forth as a new tool to model the shortwave radiation absorbed or scattered by vegetation. The theory states that the amount of radiation absorbed by a canopy should to a great accuracy depend only on the wavelength and a wavelength-independent parameter describing canopy structure. The revolutionary idea behind this theory was that it would be possible to approximate vegetation canopy absorptance, transmittance and reflectance based on only the optical properties of foliage elements and the spectrally invariant parameter(s). This paper explains how this so-called spectral invariant is related to photon recollision probability and to canopy structural variables. Other spectral invariants were later introduced to quantify the directionality of canopy scattering. Moreover, the paper reviews the advances in the theoretical development of the photon recollision probability (p) concept and demonstrates some of its applications in global and local monitoring of vegetation using remote sensing data.

AB - Nearly two decades ago, the idea of the ‘spectral invariants theory’ was put forth as a new tool to model the shortwave radiation absorbed or scattered by vegetation. The theory states that the amount of radiation absorbed by a canopy should to a great accuracy depend only on the wavelength and a wavelength-independent parameter describing canopy structure. The revolutionary idea behind this theory was that it would be possible to approximate vegetation canopy absorptance, transmittance and reflectance based on only the optical properties of foliage elements and the spectrally invariant parameter(s). This paper explains how this so-called spectral invariant is related to photon recollision probability and to canopy structural variables. Other spectral invariants were later introduced to quantify the directionality of canopy scattering. Moreover, the paper reviews the advances in the theoretical development of the photon recollision probability (p) concept and demonstrates some of its applications in global and local monitoring of vegetation using remote sensing data.

KW - Spectral invariants

KW - Photon recollision probability

KW - Radiative transfer

KW - Conifer

KW - DASF

KW - PARAS model

KW - Albedo

KW - fPAR

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84973325971&partnerID=MN8TOARS

U2 - 10.1016/j.rse.2016.05.013

DO - 10.1016/j.rse.2016.05.013

M3 - Review Article

VL - 183

SP - 98

EP - 108

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

ER -