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Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F23%3A43923902" target="_blank" >RIV/62156489:43410/23:43923902 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.17221/191/2022-JFS" target="_blank" >https://doi.org/10.17221/191/2022-JFS</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.17221/191/2022-JFS" target="_blank" >10.17221/191/2022-JFS</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model

  • Popis výsledku v původním jazyce

    Sap flow represents water transport from roots to leaves through the xylem and is used to describe tree transpiration. This paper proposed and tested a procedure to estimate sap flow by calculating global radiation in a digital model of the tree canopy surface obtained by unmanned aerial vehicle imaging. The sap flow of nine trees was continuously measured in the field. In the digital surface model, individual canopies were automatically delineated, their parameters were determined and the global radiation incident on their surface on specific days was calculated. A polynomial relationship was found between sap flow and the calculated incident solar radiation during the morning hours with a coefficient of determination of 0.98, as well as a linear relationship between the decrease in radiation and sap flow during the afternoon with a correlation coefficient of 0.99. Using the Random Forest machine learning method, a model predicting the sap flow of the trees was created based on the global radiation and canopy parameters determined from the digital surface model of tree canopies. The resulting model was deployed on additional days and compared to field measurements of sap flow, achieving a correlation coefficient of 0.918. In addition, two linear regression models were created for a tree group, achieving coefficients of determination of 0.66 and 0.90.

  • Název v anglickém jazyce

    Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model

  • Popis výsledku anglicky

    Sap flow represents water transport from roots to leaves through the xylem and is used to describe tree transpiration. This paper proposed and tested a procedure to estimate sap flow by calculating global radiation in a digital model of the tree canopy surface obtained by unmanned aerial vehicle imaging. The sap flow of nine trees was continuously measured in the field. In the digital surface model, individual canopies were automatically delineated, their parameters were determined and the global radiation incident on their surface on specific days was calculated. A polynomial relationship was found between sap flow and the calculated incident solar radiation during the morning hours with a coefficient of determination of 0.98, as well as a linear relationship between the decrease in radiation and sap flow during the afternoon with a correlation coefficient of 0.99. Using the Random Forest machine learning method, a model predicting the sap flow of the trees was created based on the global radiation and canopy parameters determined from the digital surface model of tree canopies. The resulting model was deployed on additional days and compared to field measurements of sap flow, achieving a correlation coefficient of 0.918. In addition, two linear regression models were created for a tree group, achieving coefficients of determination of 0.66 and 0.90.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    40102 - Forestry

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/QK1810415" target="_blank" >QK1810415: Vliv dřevinné skladby a struktury lesních porostů na mikroklima a hydrologické poměry v krajině</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Forest Science

  • ISSN

    1212-4834

  • e-ISSN

    1805-935X

  • Svazek periodika

    69

  • Číslo periodika v rámci svazku

    8

  • Stát vydavatele periodika

    CZ - Česká republika

  • Počet stran výsledku

    12

  • Strana od-do

    348-359

  • Kód UT WoS článku

    001186770700002

  • EID výsledku v databázi Scopus

    2-s2.0-85171196178