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Estimating canopy spectral invariants from ground reference and remote sensing data
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SYSNO ASEP 0360256 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Estimating canopy spectral invariants from ground reference and remote sensing data Author(s) Rautianien, M. (FI)
Stenberg, P. (FI)
Lukeš, Petr (UEK-B) ORCID, SAI, RID
Mottus, M. (FI)
Heiskanen, J. (FI)Source Title 2nd workshop on Hyperspectral image and signal processing: evolution in remote sensing. 14-16. June 2010, Reykjavik, Iceland. - Reykjavík : IEE Whispers, 2010 - ISBN 978-1-4244-8906-0 Pages s. 1-4 Number of pages 4 s. Action Workshop on Hyperspectral image and signal processing: evolution in remote sensing /2./ Event date 14.06.2010-16.06.2010 VEvent location Reykjavik Country IS - Iceland Event type EUR Language eng - English Country IS - Iceland Keywords spectral invariants ; remote sensing data Subject RIV EH - Ecology, Behaviour CEZ AV0Z60870520 - UEK-B (2005-2011) DOI 10.1109/WHISPERS.2010.5594861 Annotation 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. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2012
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