• DocumentCode
    1147354
  • Title

    Using 1-D Models to Interpret the Reflectance Anisotropy of 3-D Canopy Targets: Issues and Caveats

  • Author

    Widlowski, Jean-Luc ; Pinty, Bernard ; Lavergne, Thomas ; Verstraete, Michel Max ; Gobron, Nadine

  • Author_Institution
    Inst. of the Environ. & Sustainability, Joint Res. Centre of the Eur. Comm., Ispra, Italy
  • Volume
    43
  • Issue
    9
  • fYear
    2005
  • Firstpage
    2008
  • Lastpage
    2017
  • Abstract
    This paper evaluates 1) to what extent one-dimensional (1-D) models can be used to represent the magnitude and directionality of the surface reflectance field of heterogeneous canopy targets at different spatial resolutions, and 2) whether this usage results in significant biases in the estimation of the corresponding state variables. It will be seen that when both the 1-D and three-dimensional (3-D) models account for all features of the measured radiation field, then—in the absence of further information regarding the nature and structure of the target—the use of a 3-D model may amount to an over-interpretation of the available data. The simplified surface structure formulation contained within the 1-D model, on the other hand, may affect the values of the state variables that such models will retrieve. This is because the shape of the reflectance anisotropy of the 3-D target is almost always different from that of a structurally homogeneous (1-D) canopy with the same state variable values but no foliage clumping. By consequence the 1-D canopies that are capable of mimicking the bell (or bowl) shaped reflectance anisotropy of 3-D targets will tend to feature lower leaf area index, higher soil albedo and, in particular, predominantly erectophile (or plagiophile) leaf normal distributions.
  • Keywords
    atmospheric boundary layer; terrain mapping; vegetation mapping; 3D canopy structure; bidirectional reflectance function shape; erectophile leaf normal distributions; heterogeneous canopy; leaf area index; multiangular reflectance data; pixel-based inversion; reflectance anisotropy; soil albedo; spatial resolutions; surface reflectance field; Aging; Anisotropic magnetoresistance; Gaussian distribution; Hazards; Reflectivity; Shape; Soil; Spatial resolution; State estimation; Surface structures; Bidirectional reflectance function (BRF) shape; multiangular reflectance data; one-dimensional (1-D) models; pixel-based inversion; three-dimensional (3-D) canopy structure;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2005.853718
  • Filename
    1499017