Reliable Estimates of Merchantable Timber Volume from Terrestrial Laser Scanning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89650" target="_blank" >RIV/60460709:41320/21:89650 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2072-4292/13/18/3610" target="_blank" >https://www.mdpi.com/2072-4292/13/18/3610</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/rs13183610" target="_blank" >10.3390/rs13183610</a>
Alternative languages
Result language
angličtina
Original language name
Reliable Estimates of Merchantable Timber Volume from Terrestrial Laser Scanning
Original language description
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 propo
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/EF16_019%2F0000803" target="_blank" >EF16_019/0000803: Advanced research supporting the forestry and wood-processing sector´s adaptation to global change and the 4th industrial revolution</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Remote Sensing
ISSN
2072-4292
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
18
Country of publishing house
CH - SWITZERLAND
Number of pages
14
Pages from-to
1-14
UT code for WoS article
000701465100001
EID of the result in the Scopus database
2-s2.0-85114707193