Comparison of wood volume estimates of young trees from terrestrial laser scan data

Matthias Kunz, Carsten Hess, Pasi Raumonen, Anne Bienert, Jan Hackenberg, Hans Gerd Maas, Werner Härdtle, Andreas Fichtner, Goddert Von Oheimb

    Tutkimustuotos: ArtikkeliScientificvertaisarvioitu

    34 Sitaatiot (Scopus)
    129 Lataukset (Pure)

    Abstrakti

    Many analyses in ecology and forestry require wood volume estimates of trees. However, non-destructive measurements are not straightforward because trees are differing in their three-dimensional structures and shapes. In this paper we compared three methods (one voxel-based and two cylinder-based methods) for wood volume calculation of trees from point clouds obtained by terrestrial laser scanning. We analysed a total of 24 young trees, composed of four different species ranging between 1.79 m to 7.96 m in height, comparing the derived volume estimates from the point clouds with xylometric reference volumes for each tree. We found that both voxel-and cylinder-based approaches are able to compute wood volumes with an average accuracy above 90% when compared to reference volumes. The best results were achieved with the voxel-based method (r2 = 0.98). Cylinder-model based methods (r2 = 0.90 and 0.92 respectively) did perform slightly less well but offer valuable additional opportunities to analyse structural parameters for each tree. We found that the error of volume estimates from point clouds are strongly species-specific. Therefore, species-specific parameter sets for point-cloud based wood volume estimation methods are required for more robust estimates across a number of tree species.

    AlkuperäiskieliEnglanti
    Sivut451-458
    Sivumäärä8
    JulkaisuiForest - Biogeosciences and Forestry
    Vuosikerta10
    Numero2
    DOI - pysyväislinkit
    TilaJulkaistu - 1 huhtik. 2017
    OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Forestry
    • Ecology
    • Nature and Landscape Conservation

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