• DocumentCode
    3024158
  • Title

    Theoretical modeling of lidar return phenomenology from snow and ice surfaces

  • Author

    Kerekes, J. ; Zhang, Juyong ; Goodenough, Adam ; Brown, Shannon

  • Author_Institution
    Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    616
  • Lastpage
    619
  • Abstract
    To advance the science of lidar sensing of complex ice and snow surfaces as well as in support of the upcoming ICESat- 2 mission, this paper establishes a framework to theoretically study a spaceborne micropulselidar returns from snow and ice surfaces. First, the anticipated lidar return characteristics for a sloped non-penetrating surface is studied when measured by a multiple-channel photon-counting detector. Second, an analytical snow reflectance model based on experimental observations is applied in synthetic scene. Based on the simulation results, the spaceborne photon-counting lidar system considered here is seen to have moderate detectability on snow surfaces. In addition, for the penetrating snow model considered here, it is shown that slightly sloped snow terrain with larger snow grain size will result in smaller elevation bias.
  • Keywords
    grain size; ice; optical radar; photon counting; remote sensing by laser beam; remote sensing by radar; snow; spaceborne radar; ICESat-2 mission; analytical snow reflectance model; complex ice surfaces; complex snow surfaces; detectability; elevation bias; lidar return characteristics; lidar return phenomenology; lidar sensing; multiple-channel photon-counting detector; sloped nonpenetrating surface; sloped snow terrain; snow grain size; spaceborne micropulselidar returns; spaceborne photon-counting lidar system; synthetic scene; Detectors; Ice; Laser modes; Laser radar; Photonics; Snow; Surface emitting lasers; Photon counting; ice; lidar; snow;
  • 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.2013.6721232
  • Filename
    6721232