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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

40102 - Forestry

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

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

Publication year

2023

Confidentiality

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

Name of the periodical

Journal of Forest Science

ISSN

1212-4834

e-ISSN

1805-935X

Volume of the periodical

69

Issue of the periodical within the volume

8

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

12

Pages from-to

348-359

UT code for WoS article

001186770700002

EID of the result in the Scopus database

2-s2.0-85171196178