• DocumentCode
    411031
  • Title

    Estimation of red pine tree height using Shuttle Radar Topography Mission and ancillary data

  • Author

    Brown, C.G. ; Sarabandi, K.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    4
  • fYear
    2003
  • fDate
    21-25 July 2003
  • Firstpage
    2850
  • Abstract
    In this paper accurate tree height retrieval for red pine and Austrian pine is demonstrated using C-band Shuttle Radar Topography Mission (SRTM) height and ancillary data. The tree height retrieval algorithm is based on modeling uniform tree stands with a single layer of randomly-oriented vegetation particles. For such scattering media, the scattering phase center (SPC) height, as measured by SRTM, is a function of tree height, incidence angle, and the extinction coefficient of the medium. The extinction coefficient for uniform tree stands is calculated as a function of tree height and density using allometric equations and a fractal tree model. The algorithm outputs tree height estimates that are significantly closer to the true tree height than the raw SRTM SPC height values obtained from the height difference between the SRTM data and the National Elevation Dataset (NED). The accuracy of the proposed algorithm is demonstrated using SRTM and TOPSAR data for 15 red pine and Austrian pine stands.
  • Keywords
    forestry; geophysical techniques; remote sensing by radar; synthetic aperture radar; vegetation mapping; Austrian pine; National Elevation Dataset; Shuttle Radar Topography Mission; TOPSAR data; allometric equations; ancillary data; extinction coefficient; fractal tree model; height data; interferometric synthetic aperture radars; randomly-oriented vegetation particles; red pine; scattering media; scattering phase center; tree height retrieval algorithm; uniform tree stands; vegetation particles; Information retrieval; Inverse problems; Particle scattering; Phase estimation; Radar scattering; Spaceborne radar; Surfaces; Synthetic aperture radar interferometry; Testing; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
  • Print_ISBN
    0-7803-7929-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2003.1294608
  • Filename
    1294608