Počet záznamů: 1

Estimating canopy spectral invariants from ground reference and remote sensing data

  1. 1.
    0360256 - UEK-B 2012 RIV IS eng C - Konferenční příspěvek (zahraniční konf.)
    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]
    Výzkumný záměr: CEZ:AV0Z60870520
    Klíčová slova: spectral invariants * remote sensing data
    Kód oboru RIV: EH - Ekologie - společenstva

    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.
    Trvalý link: http://hdl.handle.net/11104/0197851