• DocumentCode
    2468609
  • Title

    Estimating canopy spectral invariants from ground reference and remote sensing data

  • Author

    Rautiainen, Miina ; Stenberg, Pauline ; Lukes, Petr ; Mottus, Matti ; Heiskanen, Janne

  • Author_Institution
    Dept. of Forest Sci., Univ. of Helsinki, Helsinki, Finland
  • fYear
    2010
  • fDate
    14-16 June 2010
  • Firstpage
    1
  • Lastpage
    4
  • 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.
  • Keywords
    atmospheric boundary layer; atmospheric radiation; remote sensing; vegetation mapping; canopy spectral invariants; ground reference data; horizontal structure; hyperspectral remote sensing data; radiation budget; radiation field; remote sensing methods; spectral invariants theory; spectrally invariant parameters; vegetation canopy gap fraction measurements; vertical structure; Hyperspectral imaging; Optical reflection; Photonics; Reflectivity; Vegetation; forest; remote sensing; spectral invariants;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2010 2nd Workshop on
  • Conference_Location
    Reykjavik
  • Print_ISBN
    978-1-4244-8906-0
  • Electronic_ISBN
    978-1-4244-8907-7
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2010.5594861
  • Filename
    5594861