Buttress Root

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The Experts below are selected from a list of 27 Experts worldwide ranked by ideXlab platform

Anup Basu - One of the best experts on this subject based on the ideXlab platform.

  • poisson surface reconstruction from lidar for Buttress Root volume estimation
    2019
    Co-Authors: Ruoyang Song, Tao Han, Arturo Sanchezazofeifa, Anup Basu
    Abstract:

    Tree Buttress volumes are significant in analyzing bioinformation of a forest. However, forestry researchers have no accurate method for estimating the volume of complex tree Buttress Roots. Light Detection and Ranging (LiDAR) scanning can be used to scan large multi-hectare areas of forests with thousands of trees. In this paper, we introduce a new method for accurate tree Buttress volumes estimation based on the LiDAR system and the Poisson Surface Reconstruction algorithm.

Cui Zhuomen - One of the best experts on this subject based on the ideXlab platform.

  • research of growth habit and deal strategy on three kinds of figs Buttress Root
    2015
    Co-Authors: Cui Zhuomen
    Abstract:

    Ficus species is widely planted on urban landscaping in Guangzhou. Howerer, the destraction of Banyan Buttress Root is considered progressirely. Generally, Ficus species owns dereloped Buttress Root and it is strong enough to brake out the grand, tree pool and wall, etc. The paper selects Ficus microcarpa, F. virens var.sublanceolata and F. altissima, which are common Banyan and applied mostly in urban lardscaping. The authors stadied the height range and DBH three kinds of Ficus species Buttress Root after statistic analyzing. Besides, the anthors also evaluated the current treatments of battress Root and gave suggestion on the reasonable treatment of Buttress Root in urban randscaping. The research can be theory reference for solving the issue of destraction of Ficusspecies Buttress Root.

Ruoyang Song - One of the best experts on this subject based on the ideXlab platform.

  • poisson surface reconstruction from lidar for Buttress Root volume estimation
    2019
    Co-Authors: Ruoyang Song, Tao Han, Arturo Sanchezazofeifa, Anup Basu
    Abstract:

    Tree Buttress volumes are significant in analyzing bioinformation of a forest. However, forestry researchers have no accurate method for estimating the volume of complex tree Buttress Roots. Light Detection and Ranging (LiDAR) scanning can be used to scan large multi-hectare areas of forests with thousands of trees. In this paper, we introduce a new method for accurate tree Buttress volumes estimation based on the LiDAR system and the Poisson Surface Reconstruction algorithm.

Tao Han - One of the best experts on this subject based on the ideXlab platform.

  • poisson surface reconstruction from lidar for Buttress Root volume estimation
    2019
    Co-Authors: Ruoyang Song, Tao Han, Arturo Sanchezazofeifa, Anup Basu
    Abstract:

    Tree Buttress volumes are significant in analyzing bioinformation of a forest. However, forestry researchers have no accurate method for estimating the volume of complex tree Buttress Roots. Light Detection and Ranging (LiDAR) scanning can be used to scan large multi-hectare areas of forests with thousands of trees. In this paper, we introduce a new method for accurate tree Buttress volumes estimation based on the LiDAR system and the Poisson Surface Reconstruction algorithm.

Arturo Sanchezazofeifa - One of the best experts on this subject based on the ideXlab platform.

  • poisson surface reconstruction from lidar for Buttress Root volume estimation
    2019
    Co-Authors: Ruoyang Song, Tao Han, Arturo Sanchezazofeifa, Anup Basu
    Abstract:

    Tree Buttress volumes are significant in analyzing bioinformation of a forest. However, forestry researchers have no accurate method for estimating the volume of complex tree Buttress Roots. Light Detection and Ranging (LiDAR) scanning can be used to scan large multi-hectare areas of forests with thousands of trees. In this paper, we introduce a new method for accurate tree Buttress volumes estimation based on the LiDAR system and the Poisson Surface Reconstruction algorithm.