• DocumentCode
    1376185
  • Title

    Inversion of the Li-Strahler canopy reflectance model for mapping forest structure

  • Author

    Woodcock, Curtis E. ; Collins, John B. ; Jakabhazy, Vida D. ; Li, Xiaowen ; Macomber, Scott A. ; Wu, Yecheng

  • Author_Institution
    Dept. of Geogr., Boston Univ., MA, USA
  • Volume
    35
  • Issue
    2
  • fYear
    1997
  • fDate
    3/1/1997 12:00:00 AM
  • Firstpage
    405
  • Lastpage
    414
  • Abstract
    As part of a larger forest vegetation mapping process based on Landsat TM and digital terrain data, inversion of the Li-Strahler model provides estimates of tree size and cover for conifer stands. The vegetation maps are intended for use in natural resource management by the US Forest Service. Analysis of extensive field data in the form of “test” stands from four National Forests indicate the following about the Li-Strahler model: (1) the underlying assumptions of independence between tree size and crown shape are valid, (2) the means for tree geometry parameters vary between forest types, (3) estimates of forest cover are reliable, and (4) estimates of tree size are unreliable due to the breakdown in the relationship between image intra-stand variance and tree size. Improvements in estimates of tree size will require additional data beyond a single Landsat TM image, with multidirectional data a promising possibility
  • Keywords
    forestry; geophysical techniques; remote sensing; Landsat TM; Li-Strahler canopy reflectance model; Li-Strahler model; canopy; conifer stand; crown shape; forest; forest structure; forestry; geophysical measurement technique; inversion; optical imaging; remote sensing; tree size; vegetation mapping; Analysis of variance; Image analysis; Reflectivity; Remote sensing; Resource management; Satellites; Shape; Solid modeling; Terrain mapping; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.563279
  • Filename
    563279