Estimating canopy spectral invariants from ground reference and remote sensing data

0360256 - ÚVGZ 2012 RIV IS eng C - Conference Paper (international conference)
Rautianien, M. - Stenberg, P. - Lukeš, Petr - Mottus, M. - Heiskanen, J.
Estimating canopy spectral invariants from ground reference and remote sensing data.
2nd workshop on Hyperspectral image and signal processing: evolution in remote sensing. 14-16. June 2010, Reykjavik, Iceland. Reykjavík: IEE Whispers, 2010, s. 1-4. ISBN 978-1-4244-8906-0.
[Workshop on Hyperspectral image and signal processing: evolution in remote sensing /2./. Reykjavik (IS), 14.06.2010-16.06.2010]
Institutional research plan: CEZ:AV0Z60870520
Keywords : spectral invariants * remote sensing data
Subject RIV: EH - Ecology, Behaviour

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.
Permanent Link: http://hdl.handle.net/11104/0197851