Estimating canopy spectral invariants from ground reference and remote sensing data

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 languageEnglish
Title of host publication2nd Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2010 - Workshop Program
DOIs
Publication statusPublished - 29 Nov 2010
MoE publication typeA4 Article in a conference publication
Event2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010 - Reykjavik, Iceland
Duration: 14 Jun 201016 Jun 2010

Conference

Conference2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2010
CountryIceland
CityReykjavik
Period14/06/1016/06/10

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Keywords

  • Forest
  • Remote sensing
  • Spectral invariants

Cite this

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] https://doi.org/10.1109/WHISPERS.2010.5594861