Estimating canopy spectral invariants from ground reference and remote sensing data

Miina Rautiainen; Pauline Stenberg; Petr Lukes; Matti Mõttus; Janne Heiskanen

doi:10.1109/WHISPERS.2010.5594861

Estimating canopy spectral invariants from ground reference and remote sensing data

Miina Rautiainen^*, Pauline Stenberg, Petr Lukes, Matti Mõttus, Janne Heiskanen

^*Corresponding author for this work

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

Physically-based remote sensing methods have progressively become more attractive for monitoring the vertical and horizontal structure of vegetation. A relatively recent development in modeling the radiation field of a vegetation canopy is the spectral invariants theory. The theory states that the radiation budget of a vegetation canopy can be parameterized using only spectrally invariant parameters which depend on canopy structure in a complex manner. In this paper, we briefly review how spectral invariants can be estimated from hyperspectral remote sensing data or in situ vegetation canopy gap fraction measurements.

Original language	English
Title of host publication	2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOIs	https://doi.org/10.1109/WHISPERS.2010.5594861
Publication status	Published - 2010
MoE publication type	A4 Conference publication
Event	Workshop on Hyperspectral Image and Signal Processing - Reykjavik, Iceland Duration: 14 Jun 2010 → 16 Jun 2010 Conference number: 2

Workshop

Workshop	Workshop on Hyperspectral Image and Signal Processing
Abbreviated title	WHISPERS
Country/Territory	Iceland
City	Reykjavik
Period	14/06/2010 → 16/06/2010

Keywords

Forest
Remote sensing
Spectral invariants

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10.1109/WHISPERS.2010.5594861

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title = "Estimating canopy spectral invariants from ground reference and remote sensing data",

abstract = "Physically-based remote sensing methods have progressively become more attractive for monitoring the vertical and horizontal structure of vegetation. A relatively recent development in modeling the radiation field of a vegetation canopy is the spectral invariants theory. The theory states that the radiation budget of a vegetation canopy can be parameterized using only spectrally invariant parameters which depend on canopy structure in a complex manner. In this paper, we briefly review how spectral invariants can be estimated from hyperspectral remote sensing data or in situ vegetation canopy gap fraction measurements.",

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author = "Miina Rautiainen and Pauline Stenberg and Petr Lukes and Matti M{\~o}ttus and Janne Heiskanen",

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Rautiainen, M, Stenberg, P, Lukes, P, Mõttus, M & Heiskanen, J 2010, Estimating canopy spectral invariants from ground reference and remote sensing data. in 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program., 5594861, Workshop on Hyperspectral Image and Signal Processing, Reykjavik, Iceland, 14/06/2010. https://doi.org/10.1109/WHISPERS.2010.5594861

Estimating canopy spectral invariants from ground reference and remote sensing data. / Rautiainen, Miina; Stenberg, Pauline; Lukes, Petr et al.
2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program. 2010. 5594861.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AU - Rautiainen, Miina

AU - Stenberg, Pauline

AU - Lukes, Petr

AU - Mõttus, Matti

AU - Heiskanen, Janne

N1 - Conference code: 2

PY - 2010

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AB - Physically-based remote sensing methods have progressively become more attractive for monitoring the vertical and horizontal structure of vegetation. A relatively recent development in modeling the radiation field of a vegetation canopy is the spectral invariants theory. The theory states that the radiation budget of a vegetation canopy can be parameterized using only spectrally invariant parameters which depend on canopy structure in a complex manner. In this paper, we briefly review how spectral invariants can be estimated from hyperspectral remote sensing data or in situ vegetation canopy gap fraction measurements.

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KW - Spectral invariants

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SN - 9781424489077

BT - 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Workshop Program

T2 - Workshop on Hyperspectral Image and Signal Processing

Y2 - 14 June 2010 through 16 June 2010

ER -

Estimating canopy spectral invariants from ground reference and remote sensing data

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Workshop

Keywords

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