Reliable Estimates of Merchantable Timber Volume from Terrestrial Laser Scanning

Remote Sensing

Dimitrios Panagiotidis¹  Azadeh Abdollahnejad¹ 

[1] Faculty of Forestry and Wood Sciences, Czech University of Life Sciences (CZU Prague), Kamýcká 129, 165 21 Prague, Czech Republic;

关键词: forest biometrics;    TLS;    point cloud;    RANSAC;    CloudCompare;    merchantable volume;   

DOI  :  10.3390/rs13183610

来源: DOAJ

【 摘 要 】

Simple and accurate determination of merchantable tree height is needed for accurate estimations of merchantable volume. Conventional field methods of forest inventory can lead to biased estimates of tree height and diameter, especially in complex forest structures. Terrestrial laser scanner (TLS) data can be used to determine merchantable height and diameter at different heights with high accuracy and detail. This study focuses on the use of the random sampling consensus method (RANSAC) for generating the length and diameter of logs to estimate merchantable volume at the tree level using Huber’s formula. For this study, we used two plots; plot A contained deciduous trees and plot B consisted of conifers. Our results demonstrated that the TLS-based outputs for stem modelling using the RANSAC method performed very well with low bias (0.02 for deciduous and 0.01 for conifers) and a high degree of accuracy (97.73% for deciduous and 96.14% for conifers). We also found a high correlation between the proposed method and log length (−0.814 for plot A and −0.698 for plot B), which is an important finding because this information can be used to determine the optimum log properties required for analyzing stem curvature changes at different heights. Furthermore, the results of this study provide insight into the applicability and ergonomics during data collection from forest inventories solely from terrestrial laser scanning, thus reducing the need for field reference data.

【 授权许可】

Unknown