• DocumentCode
    1507130
  • Title

    Investigation of directional reflectance in boreal forests with an improved four-scale model and airborne POLDER data

  • Author

    Leblanc, Sylvain G. ; Bicheron, Patrice ; Chen, Jing M. ; Leroy, Marc ; Cihlar, Josef

  • Author_Institution
    Canada Center for Remote Sensing, Ottawa, Ont., Canada
  • Volume
    37
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    1396
  • Lastpage
    1414
  • Abstract
    Airborne Polarization and Directional Earth Radiation (POLDER) data acquired during the boreal ecosystem-atmosphere study (BOREAS) and the four-scale model of Chen and Leblanc (1997) are used to investigate radiative transfer in boreal forest. The four-scale model is based on forest canopy architecture at different scales. New aspects are incorporated into the model to improve the physical representation of each canopy, as follows: 1) Elaborate branch architecture is added. 2) Different crown shapes are used for conifer and deciduous forests. 3) Bilayer version of the model is introduced for forest canopies with an important understory. 4) Natural repulsion effect is considered in the tree distribution statistics. Ground measurements from BOREAS sites are used as input parameters by the model to simulate measurements of bidirectional reflectance distribution function (BRDF) from four forest canopies (old black spruce, old aspen, and old and young jack pine) acquired by the POLDER instrument from May-July 1994. The model is able to reproduce with great accuracy the BRDF of the four forests. The importance of the branch architecture and the self-shadowing of the foliage is emphasized
  • Keywords
    forestry; geophysical techniques; remote sensing; vegetation mapping; 443 to 910 nm; BOREAS; BRDF; IR; Picea mariana; Pinus banksiana; Populous; airborne POLDER data; aspen; bidirectional reflectance distribution function; bilayer version; black spruce; boreal forest; branch architecture; canopy architecture; conifer; crown shape; deciduous; directional reflectance; foliage; four-scale model; geophysical measurement technique; infrared; jack pine; light reflection; light scattering; optical imaging; polarimetry; polarization; remote sensing; vegetation mapping; visible region; Bidirectional control; Biological system modeling; Distribution functions; Earth; Instruments; Polarization; Reflectivity; Remote sensing; Shape; Sun;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.763304
  • Filename
    763304