• DocumentCode
    3067100
  • Title

    Rapid characterisation of forest structure from TLS and 3D modelling

  • Author

    Burt, A. ; Disney, M.I. ; Raumonen, P. ; Armston, John ; Calders, K. ; Lewis, P.

  • Author_Institution
    Dept. of Geogr., Univ. Coll. London, London, UK
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    3387
  • Lastpage
    3390
  • Abstract
    Raumonen et al.[1] have developed a new method for reconstructing topologically consistent tree architecture from TLS point clouds. This method generates a cylinder model of tree structure using a stepwise approach. Disney et al.[2] validated this method with a detailed 3D tree model where structure is known a priori, establishing a reconstruction relative error of less than 2%. Here we apply the same method to data acquired from Eucalyptus racemosa woodland, Banksia ameula low open woodland and Eucalyptus spp. open forest using a RIEGL VZ-400 instrument. Individual 3D tree models reconstructed from TLS point clouds are used to drive Monte Carlo ray tracing simulations of TLS with the same characteristics as those collected in the field. 3D reconstruction was carried out on the simulated point clouds so that errors and uncertainty arising from instrument sampling and reconstruction could be assessed directly. We find that total volume could be recreated to within a 10.8% underestimate. The greatest constraint to this approach is the accuracy to which individual scans can be globally registered. Inducing a 1cm registration error lead to a 8.8% total volumetric overestimation across the data set.
  • Keywords
    Monte Carlo methods; geophysical techniques; vegetation mapping; 3D modelling; 3D reconstruction; Banksia ameula; Eucalyptus racemosa; Eucalyptus spp; Monte Carlo ray tracing simulations; RIEGL VZ-400 instrument; TLS point clouds; a priori structure; acquired data method; data set; detailed 3D tree model; forest structure characterisation; globally registered individual scans; individual 3D tree model reconstruction; individual scans; instrument sampling errors; instrument sampling uncertainty; low open woodland; open forest; reconstruction relative error; registration error; simulated point clouds; stepwise approach; topologically consistent tree architecture reconstruction method; total volumetric overestimation; tree structure cylinder model; Biological system modeling; Data models; Remote sensing; Solid modeling; Three-dimensional displays; Vegetation; Vegetation mapping;
  • 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.2013.6723555
  • Filename
    6723555