• DocumentCode
    3493450
  • Title

    Characterising Reedbed habitat quality using Leaf-off LiDAR Data

  • Author

    Onojeghuo, Alex O. ; Blackburn, George A. ; Latif, Zulkiflee Abd

  • Author_Institution
    Lancaster Environ. Centre, Lancaster Univ., Lancaster, UK
  • fYear
    2010
  • fDate
    21-23 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The aim of this paper was to investigate the potential of using leaf-off LiDAR data to characterise the quality of reedbed habitats in Leighton moss, North west UK. The correlation between LiDAR derived and ground-measured heights were determined using six selected spatial buffers and the most significant selected. The results indicated that accurate estimates of canopy height were derivable from the first return data, a valuable indicator of reedbed habitat quality. However, the lack of any subsequent returns from reedbeds prevented the extraction of any further biophysical variables. This paper outlines the methodology of deriving suitable height estimates of reeds and the limitations of using leaf-off LiDAR data.
  • Keywords
    ecology; geophysical techniques; optical radar; Leighton moss; biophysical variables; canopy height; leaf-off LIDAR data; reedbed habitat quality; Biomedical signal processing; Birds; Data mining; Insects; Laser radar; Process planning; Rivers; Technology planning; Wastewater treatment; Wildlife; CHM; DSM; DTM; LiDAR; Reedbeds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications (CSPA), 2010 6th International Colloquium on
  • Conference_Location
    Mallaca City
  • Print_ISBN
    978-1-4244-7121-8
  • Type

    conf

  • DOI
    10.1109/CSPA.2010.5545322
  • Filename
    5545322