The Influence of Cross-Section Thickness on Diameter at Breast Height Estimation from Point Cloud

Circle-fitting methods are commonly used to estimate diameter at breast height (DBH) of trees from horizontal cross-section of point clouds. In this paper, we addressed the problem of cross-section thickness optimization regarding DBH estimation bias and accuracy. DBH of 121 European beeches (Fagus...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2020-09, Vol.9 (9), p.495
Main Authors: Koren, Milan, Huncaga, Milan, Chuda, Juliana, Mokros, Ma, Surovy, Peter
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Bias
circle fitting
Cross sections (Geometry)
Cross-sections
Data acquisition
DBH
Diameters
Estimation theory
Exports
forest inventory
Forest management
Height
Hypotheses
Identification
LiDAR
Mean square errors
Methods
Optical radar
Optimization
Remote sensing
Scanners
Software
Standard error
Statistical analysis
Technology application
terrestrial laser scanning
Thickness
Trees
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Summary:Circle-fitting methods are commonly used to estimate diameter at breast height (DBH) of trees from horizontal cross-section of point clouds. In this paper, we addressed the problem of cross-section thickness optimization regarding DBH estimation bias and accuracy. DBH of 121 European beeches (Fagus sylvatica L.) and 43 Sessile oaks (Quercus petraea (Matt.) Liebl.) was estimated from cross-sections with thicknesses ranging from 1 to 100 cm. The impact of cross-section thickness on the bias, standard error, and accuracy of DBH estimation was statistically significant. However, the biases, standard errors, and accuracies of DBH estimation were not significantly different among 1–10-cm cross-sections, except for oak DBH estimation accuracy from an 8-cm cross-section. DBH estimations from 10–100-cm cross-sections were considerably different. These results provide insight to the influence of cross-section thickness on DBH estimation by circle-fitting methods, which is beneficial for point cloud data acquisition planning and processing. The optimal setting of cross-section thickness facilitates point cloud processing and DBH estimation by circle-fitting algorithms.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi9090495