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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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