• DocumentCode
    3021373
  • Title

    Digital canopy model estimation from TanDEM-X interferometry using high-resolution lidar DEM

  • Author

    Soja, Maciej J. ; Ulander, Lars M. H.

  • Author_Institution
    Chalmers Univ. of Technol., Gothenburg, Sweden
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    165
  • Lastpage
    168
  • Abstract
    Interferometric TanDEM-X data are used together with high-resolution, airborne lidar-derived digital elevation models (DEMs) to produce digital canopy models (DCMs) for the boreal forests of Remningstorp and Krycklan, situated in southern and northern Sweden, respectively. An overview of interferometric data processing is given. First results showing the potential of TanDEM-X-based forest canopy mapping are presented. It is concluded that baselines giving height-of-ambiguity values in the order of 50-80 meters are preferable, although factors such as angle of incidence and along-track baseline are also of importance. Clear-cuts can easily be detected thanks to the high resolution of TanDEM-X imagery. Seasonal variations of scattering height are most visible for deciduous trees, where the scattering height is significantly lower in the winter, probably due to the lack of leaves.
  • Keywords
    digital elevation models; optical radar; remote sensing by laser beam; synthetic aperture radar; Krycklan; Remningstorp; TanDEM-X interferometry; along track baseline; boreal forests; digital canopy model estimation; digital elevation models; high resolution lidar DEM; interferometric data processing; northern Sweden; scattering heigh; southern Sweden; Estimation; Laser radar; Orbits; Satellites; Synthetic aperture radar; Table lookup; Time division multiplexing; digital canopy model (DCM); forest mapping; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721117
  • Filename
    6721117