• DocumentCode
    1084789
  • Title

    Three-dimensional forest light interaction model using a Monte Carlo method

  • Author

    North, Peter R J

  • Author_Institution
    Remote Sensing Appl. Dev. Unit, British Nat. Space Centre, Huntingdon, UK
  • Volume
    34
  • Issue
    4
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    946
  • Lastpage
    956
  • Abstract
    A model for light interaction with forest canopies is presented, based on Monte Carlo simulation of photon transport. A hybrid representation is used to model the discontinuous nature of the forest canopy. Large scale structure is represented by geometric primitives defining shapes and positions of the tree crowns and trunks. Foliage is represented within crowns by volume-averaged parameters describing the structural and optical properties of the scattering elements. Simulation of three-dimensional photon trajectories allows accurate evaluation of multiple scattering within crowns, and between distinct crowns, trunks and the ground surface. The sky radiance field is treated as anisotropic and decoupled from bidirectional reflectance calculation. Validation has been performed on an example of dense spruce forest. Results show close agreement between model predictions and field measurements of bidirectional reflectance, high-resolution spectra and hemispherical albedo
  • Keywords
    Monte Carlo methods; forestry; geophysical techniques; light scattering; Monte Carlo method; Monte Carlo simulation; crowns and trunks; discontinuous canopy; forest; forestry; geometric primitives; geophysical measurement technique; hybrid representation; large scale structure; multiple scattering; optical imaging; photon trajectories; remote sensing; spruce; three-dimensional forest light interaction model; vegetation mapping; Anisotropic magnetoresistance; Bidirectional control; Geometrical optics; Large-scale systems; Light scattering; Optical scattering; Particle scattering; Scattering parameters; Shape; Surface treatment;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.508411
  • Filename
    508411