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Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F21%3A89643" target="_blank" >RIV/60460709:41320/21:89643 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.mdpi.com/1999-4907/12/6/717" target="_blank" >https://www.mdpi.com/1999-4907/12/6/717</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/f12060717" target="_blank" >10.3390/f12060717</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Accuracy Assessment of Total Stem Volume Using Close-Range Sensing: Advances in Precision Forestry

  • Original language description

    Accurate collection of dendrometric information is essential for improving decision confidence and supporting potential advances in forest management planning (FMP). Total stem volume is an important forest inventory parameter that requires high accuracy. Terrestrial laser scanning (TLS) has emerged as one of the most promising tools for automatically measuring total stem height and diameter at breast height (DBH) with very high detail. This study compares the accuracy of different methods for extracting the total stem height and DBH to estimate total stem volume from TLS data. Our results show that estimates of stem volume using the random sample consensus (RANSAC) and convex hull and H-TSP methods are more accurate (bias = 0,004 for RANSAC and bias = 0,009 for convex hull and H-TSP) than those using the circle fitting method (bias = 0,046). Furthermore, the RANSAC method had the best performance with the lowest bias and the highest percentage of accuracy (78,89%). The results of this study provide

  • 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

    40102 - Forestry

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

    FORESTS

  • ISSN

    1999-4907

  • e-ISSN

  • Volume of the periodical

    12

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000666543900001

  • EID of the result in the Scopus database