• DocumentCode
    1347467
  • Title

    The Seafloor: A Key Factor in Lidar Bottom Detection

  • Author

    Peeri, Shachak ; Gardner, James V. ; Ward, Larry G. ; Morrison, John Ru

  • Author_Institution
    Center for Coastal & Ocean Mapping (CCOM), Univ. of New Hampshire, Durham, NH, USA
  • Volume
    49
  • Issue
    3
  • fYear
    2011
  • fDate
    3/1/2011 12:00:00 AM
  • Firstpage
    1150
  • Lastpage
    1157
  • Abstract
    The environmental factors that determine the ability of airborne lidar bathymetry (ALB) to detect the seafloor are not well understood; however, water clarity is often considered the single factor for detection. A comparison of data from two different ALB systems (LADS-MKII and SHOALS-3000) of a small area offshore Gerrish Island, Maine, USA shows a striking correlation (95% overlap) in areas of no bottom detection that is independent of the tide status, the date of collection and the orientation of the survey flight. The laser measurements from the two ALB systems are compared to acoustic measurements of depth, seafloor slope, and backscatter from a Kongsberg EM3002 echosounder. The comparison shows that in water depths deeper than 7 m, there is a close correlation between the ALB detection patterns and bottom features. The study results indicate that lack of bottom detection by ALB does not necessarily indicate that water depths deeper than the surrounding areas have lidar strong bottom detection. No bottom detection in the study area actually reflects a change in bottom characteristics.
  • Keywords
    bathymetry; environmental factors; oceanographic techniques; optical radar; remote sensing by laser beam; remote sensing by radar; ALB system; Gerrish Island; Kongsberg EM3002 echosounder; LADS-MKII system; Lidar bottom detection; Maine; SHOALS-3000 system; USA; airborne lidar bathymetry; environmental factor; seafloor; Attenuation; Seafloor; laser measurements; light detection and ranging (LIDAR) bathymetry; remote sensing; shallow-water mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2010.2070875
  • Filename
    5599295