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Comparison of LiDAR-based Models for True Leaf Area Index and Effective Leaf Area Index Estimation in Young Beech Forests

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F20%3A43918228" target="_blank" >RIV/62156489:43410/20:43918228 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.11118/actaun202068030559" target="_blank" >https://doi.org/10.11118/actaun202068030559</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11118/actaun202068030559" target="_blank" >10.11118/actaun202068030559</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of LiDAR-based Models for True Leaf Area Index and Effective Leaf Area Index Estimation in Young Beech Forests

  • Original language description

    The leaf area index (LAI) is one of the most common leaf area and canopy structure quantifiers. Direct LAI measurement and determination of canopy characteristics in larger areas is unrealistic due to the large number of measurements required to create the distribution model. This study compares the regression models for the ALS-based calculation of LAI, where the effective leaf area index (eLAI) determined by optical methods and the LAI determined by the direct destructive method and developed by allometric equations were used as response variables. LiDAR metrics and the laser penetration index (LPI) were used as predictor variables. The regression models of LPI and eLAI dependency and the LiDAR metrics and eLAI dependency showed coefficients of determination (R2) of 0.75 and 0.92, respectively; the advantage of using LiDAR metrics for more accurate modelling is demonstrated. The model for true LAI estimation reached a R2of 0.88.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    40102 - Forestry

Result continuities

  • Project

    <a href="/en/project/QK1810415" target="_blank" >QK1810415: Influence of forest stands species composition and structure on the microclimate and landscape hydrology.</a><br>

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis

  • ISSN

    1211-8516

  • e-ISSN

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    8

  • Pages from-to

    559-566

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85089570578