• DocumentCode
    142749
  • Title

    A multi-echo airborne LiDAR-based method for estimating leaf area density distribution of individual trees

  • Author

    Oshio, Haruki ; Asawa, Takashi ; Hoyano, Akira ; Miyasaka, Satoshi

  • Author_Institution
    Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    824
  • Lastpage
    827
  • Abstract
    We demonstrate a method for estimating the leaf area density (LAD) distribution of individual trees using multi-echo airborne light detection and ranging (LiDAR). This method improves upon the previously developed method which calculates LAD based on the contact frequency between the laser beams and leaves by tracing the paths of the laser beams. The proposed method exploits the last and intermediate echoes in addition to the first and single echoes to capture the foliage distribution in the inner part of the crown. We verify the estimation accuracy using terrestrial LiDAR data of a single tree. The estimated LAD distribution is compared to the terrestrial LiDAR-derived LAD distribution. We confirmed that using the last and intermediate echoes improves the estimation accuracy of the entire crown area.
  • Keywords
    airborne radar; optical radar; remote sensing by laser beam; remote sensing by radar; vegetation mapping; LAD; contact frequency; estimated LAD distribution; estimation accuracy; foliage distribution; individual trees; laser beams; leaf area density distribution estimation; multiecho airborne lidar-based method; terrestrial LiDAR data; terrestrial LiDAR-derived LAD distribution; Accuracy; Estimation; Laser beams; Laser radar; Measurement by laser beam; Three-dimensional displays; Vegetation; Airborne LiDAR; terrestrial LiDAR; tree leaf area density; urban greening;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946551
  • Filename
    6946551