• DocumentCode
    576493
  • Title

    Very high resolution satellite images for parameterization of tree-scale forest process-based model

  • Author

    Le Maire, Guerric ; Nouvellon, Yann ; Roupsard, O. ; Christina, M. ; Charbonnier, F. ; Jia Zhou ; Ponzoni, F. ; Stape, J. ; Dauzat, J. ; Couteron, P. ; Proisy, C.

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6553
  • Lastpage
    6556
  • Abstract
    Very high spatial resolution (VHSR) satellite images provide interesting information for parameterizing tree-scale forest process-based models, and in particular their light absorption submodels, which is at the basis of photosynthesis calculation. Such tree-scale models require a large amount of field measurements to describe the forest ecosystems, i.e. all tree positions, their sizes and shapes, their leaf areas, etc. These data are generally measured directly in the field [1], which can be tedious for large areas like a forest stand. In this study, we explore the possibility to parameterize such tree-scale models directly or indirectly from panchromatic and multispectral very high resolution images.
  • Keywords
    ecology; forestry; geophysical image processing; image resolution; photosynthesis; vegetation mapping; forest ecosystems; light absorption submodels; multispectral very high resolution images; panchromatic very high resolution images; photosynthesis calculation; tree-scale forest process-based model; very high resolution satellite images; Area measurement; Estimation; Image resolution; Reflectivity; Remote sensing; Satellites; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352098
  • Filename
    6352098