• DocumentCode
    3325768
  • Title

    Assessment of tree and crown heights of a maritime pine forest at plot level using a fullwaveform UltraViolet Lidar prototype

  • Author

    Allouis, Tristan ; Durrieu, Sylvie ; Cuesta, Juan ; Chazette, Patrick ; Flamant, Pierre H. ; Couteron, P.

  • Author_Institution
    Cemagref/ AgroParisTech, UMR TETIS, Montpellier, France
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    1382
  • Lastpage
    1385
  • Abstract
    This study aims to determine the potential of a new lidar prototype with an ultraviolet laser and a medium footprint for retrieving forest parameters. The lidar is embedded on an ultra-light aircraft. The choice of the Landes forest in southwestern France as study area was made regarding the flat topography of the area and the stand height consistency. We chose three plots from different stands (different height characteristics) and compared the lidar derived metries to field measurements. To derive metries from lidar data, we summed the lidar waveforms within a plot and calculated derived reflectance profiles to correct the lidar signal from the occlusion effect. We then retrieve plot mean total and mean crown base heights measurement from reflectance profiles. We obtain a good consistency of the lidar measurements compared to field measurements, even if we noticed the existence of a 5 to 10% bias probably linked to the lidar sampling strategy.
  • Keywords
    height measurement; optical radar; remote sensing by radar; topography (Earth); vegetation mapping; Landes forest; crown height; fullwaveform ultraviolet lidar prototype; lidar data; maritime pine forest; southwestern France; topography; tree height; ultralight aircraft; Decision support systems; aerosols; forestry; lidar; sampling methods; signal analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651026
  • Filename
    5651026