Automatic Assessment of Individual Stem Shape Parameters in Forest Stands from TLS Point Clouds: Application in Pinus pinaster

Automatic Assessment of Individual Stem Shape Parameters in Forest Stands from TLS Point Clouds: Application in Pinus pinaster
复制标题

DOI:
10.3390/f13030431
复制
发表时间:
2022-03
期刊:
影响因子:
2.9
通讯作者:
C. Prendes;E. Canga;C. Ordóñez;J. Majada;M. Acuna;Carlos Cabo
C. Prendes;E. Canga;C. Ordóñez;J. Majada;M. Acuna;Carlos Cabo
中科院分区:
农林科学2区
文献类型:
--
作者:
C. Prendes;E. Canga;C. Ordóñez;J. Majada;M. Acuna;Carlos Cabo

文献摘要

被引文献

相似文献

树木的形态特征,特别是直和瘦,显着影响价值的商业产品,可以获得。尽管如此,它们通常不会在木材领域的库存进行评估,因为传统的技术是劳动密集型的,而且很大程度上是主观的,因此这些参数的使用仅限于研究和遗传育种计划。在这里,一个非破坏性的,全自动的方法,估计参数描述直线度和倾斜使用地面激光扫描(TLS)数据。它是基于将树干分成均匀分布的部分并估计它们的中心,然后用于自动计算每棵树的最大矢高、弯曲度和倾斜度。将该方法应用于一个海岸松育种试验小区,并将所得结果与基于视觉分类的直线度和瘦肉度的田间测量结果进行了比较。该方法是强大的错误估计的截面中心,计算形状参数的基础。此外,它的准确性与传统的领域技术相比,这往往涉及到错误分类的问题。新方法易于使用,成本较低,并克服了传统的现场技术获得直线度和倾斜测量的缺点。它可以修改适用于任何物种和林分类型。
Tree morphological characteristics, particularly straightness and lean, significantly influence the value of the commercial products that can be obtained. Despite this, they are not usually evaluated in timber field inventories because traditional techniques are labor-intensive and largely subjective, hence the use of these parameters is limited to research and genetic breeding programs. Here, a non-destructive, fully automated methodology is presented that estimates the parameters for describing straightness and lean using terrestrial laser scanning (TLS) data. It is based on splitting stems into evenly spaced sections and estimating their centers, which are then used to automatically calculate the maximum sagitta, sinuosity, and lean of each tree. The methodology was applied in a breeding trial plot of Pinus pinaster, and the results obtained were compared with field measurements of straightness and lean based on visual classification. The methodology is robust to errors in the estimation of section centers, the basis for calculating shape parameters. Besides, its accuracy compares favorably with traditional field techniques, which often involve problems of misclassification. The new methodology is easy to use, less expensive, and overcomes the drawbacks of traditional field techniques for obtaining straightness and lean measurements. It can be modified to apply to any species and stand typology.