Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model
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 ima...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2023-08-01
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| Series: | Journal of Forest Science |
| Subjects: | |
| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-202308-0004_sap-flow-modelling-based-on-global-radiation-and-canopy-parameters-derived-from-a-digital-surface-model.php |
| _version_ | 1827188401631133696 |
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| author | Tomáš Mikita Zdeněk Patočka Elizaveta Avoiani |
| author_facet | Tomáš Mikita Zdeněk Patočka Elizaveta Avoiani |
| author_sort | Tomáš Mikita |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-12T13:12:18Z |
| format | Article |
| id | doaj.art-47e78b803c4b4d998218432586869066 |
| institution | Directory Open Access Journal |
| issn | 1212-4834 1805-935X |
| language | English |
| last_indexed | 2025-03-21T07:37:29Z |
| publishDate | 2023-08-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Journal of Forest Science |
| spelling | doaj.art-47e78b803c4b4d9982184325868690662024-07-15T08:18:06ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2023-08-0169834835910.17221/191/2022-JFSjfs-202308-0004Sap flow modelling based on global radiation and canopy parameters derived from a digital surface modelTomáš Mikita0Zdeněk Patočka1Elizaveta Avoiani2Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech RepublicDepartment of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech RepublicSap 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.https://jfs.agriculturejournals.cz/artkey/jfs-202308-0004_sap-flow-modelling-based-on-global-radiation-and-canopy-parameters-derived-from-a-digital-surface-model.phpgisrandom forestremote sensingsolar radiationtranspirationunmanned aircraft vehicle (uav) |
| spellingShingle | Tomáš Mikita Zdeněk Patočka Elizaveta Avoiani Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model Journal of Forest Science gis random forest remote sensing solar radiation transpiration unmanned aircraft vehicle (uav) |
| title | Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| title_full | Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| title_fullStr | Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| title_full_unstemmed | Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| title_short | Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| title_sort | sap flow modelling based on global radiation and canopy parameters derived from a digital surface model |
| topic | gis random forest remote sensing solar radiation transpiration unmanned aircraft vehicle (uav) |
| url | https://jfs.agriculturejournals.cz/artkey/jfs-202308-0004_sap-flow-modelling-based-on-global-radiation-and-canopy-parameters-derived-from-a-digital-surface-model.php |
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