• DocumentCode
    576702
  • Title

    Terrain slope calculation from waveform of airborne LiDAR

  • Author

    Xiaolu Li ; Lijun Xu ; Changwei Wang

  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6259
  • Lastpage
    6262
  • Abstract
    In this paper, a novel physical model and its mathematical expressions were advanced to estimate the average slope of land by using LVIS data, which was collected in mountain area, California, USA. The proposed expressions were related not only to the laser scan angle and the laser divergence, but also to the pulse delay and the pulse width. In order to calculate the time width of the echo waveform and the mean pulse delay, a new curve-fitting method was proposed to fit the echo waveforms using a non-Gaussian mathematical function named as `Extreme function´. Different from the slope estimation from the DEM, the method proposed in this paper can make a more average estimation for the local slope within laser footprint. It can be used to calculate the average slope of land and estimate the roughness roughly.
  • Keywords
    curve fitting; echo; optical radar; remote sensing by laser beam; terrain mapping; topography (Earth); California; DEM; LVIS data; USA; airborne LiDAR waveform; curve-fitting method; echo waveform time width; extreme function; land average slope estimation; laser divergence; laser footprint; laser scan angle; mathematical expression; mountain area; nonGaussian mathematical function; physical model; pulse delay; pulse width; roughness estimation; terrain slope calculation; Estimation; Laser modes; Laser radar; Laser theory; Measurement by laser beam; Remote sensing; Surface emitting lasers; LVIS; Slope estimation; non-Gaussian; waveforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352689
  • Filename
    6352689