• DocumentCode
    2858489
  • Title

    Use of Airborne LIDAR for the Assessment of Landscape Structure in the Pine Forests of Everglades National Park

  • Author

    Houle, Patricia A. ; Zhang, Keqi ; Ross, Michael S. ; Simard, Marc

  • Author_Institution
    Int. Hurricane Res. Center, Florida Int. Univ., Miami, FL
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    1960
  • Lastpage
    1963
  • Abstract
    Remote sensing technologies have provided valuable data for landscape modeling, vegetation mapping and comprehensive studies of ecosystems. Airborne laser mapping or LIDAR (Light Detection and Ranging) can directly measure the three dimensional structure of plant canopies, as well as, provide accurate digital terrain models (DTM). While temperate and boreal pine forests have been studied using these methods, very limited work has been done in subtropical pine forests. In this study, airborne LIDAR was used to characterize the three dimensional structure of the forest on Long Pine Key at Everglades National Park. Analysis of the vertical distribution of airborne LIDAR data points has shown that distinctive patterns can be described which are characteristic of the vegetation communities and transition zones for pine forests , hammocks and marshes. This information is a valuable resource for forest managers by providing landscape structural data over large areas.
  • Keywords
    image classification; optical radar; remote sensing by laser beam; remote sensing by radar; vegetation; 3D plant canopy structure; Everglades National Park; Light Detection and Ranging; Long Pine Key; USA; airborne LIDAR; airborne laser mapping; boreal pine forests; ecosystems; hammocks; landscape modeling; landscape structure assessment; marshes; remote sensing technology; subtropical pine forests; temperate pine forests; vegetation communities; vegetation mapping; Airborne radar; Biological system modeling; Digital elevation models; Ecosystems; Fires; Hurricanes; Laser modes; Laser radar; Terrain mapping; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.507
  • Filename
    4241654