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High Precision Individual Tree Diameter and Perimeter Estimation from Close-Range Photogrammetry

M. Mokroš,Jozef Výbošťok,J. Tomaštík,A. Grznárová,P. Valent,M. Slavík,J. Merganič

Published 2018 in Forests

ABSTRACT

Close-range photogrammetry (CRP) can be used to provide precise and detailed three-dimensional data of objects. For several years, CRP has been a subject of research in forestry. Several studies have focused on tree reconstruction at the forest stand, plot, and tree levels. In our study, we focused on the reconstruction of trees separately within the forest stand. We investigated the influence of camera lens, tree species, and height of diameter on the accuracy of the tree perimeter and diameter estimation. Furthermore, we investigated the variance of the perimeter and diameter reference measurements. We chose four tree species (Fagus sylvatica L., Quercus petraea (Matt.) Liebl., Picea abies (L.) H. Karst. and Abies alba Mill.). The perimeters and diameters were measured at three height levels (0.8 m, 1.3 m, and 1.8 m) and two types of lenses were used. The data acquisition followed a circle around the tree at a 3 m radius. The highest accuracy of the perimeter estimation was achieved when a fisheye lens was used at a height of 1.3 m for Fagus sylvatica (root mean square error of 0.25 cm). Alternatively, the worst accuracy was achieved when a non-fisheye lens was used at 1.3 m for Quercus petraea (root mean square error of 1.27 cm). The tree species affected the estimation accuracy for both diameters and perimeters.

PUBLICATION RECORD

  • Publication year

    2018

  • Venue

    Forests

  • Publication date

    2018-11-10

  • Fields of study

    Mathematics, Engineering, Environmental Science

  • Identifiers
    DOI 10.3390/F9110696
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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