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Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics

Forested environments feature a highly complex radiation regime, and solar radiation is hindered from penetrating into the forest by the 3D canopy structure; hence, canopy shortwave radiation varies spatiotemporally, seasonally, and meteorologically, making the radiant flux challenging to both measu...

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Autores principales: Xue, Xinbo, Jin, Shichao, An, Feng, Zhang, Huaiqing, Fan, Jiangchuan, Eichhorn, Markus P., Jin, Chengye, Chen, Bangqian, Jiang, Ling, Yun, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327587/
https://www.ncbi.nlm.nih.gov/pubmed/35935676
http://dx.doi.org/10.34133/2022/9856739
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author Xue, Xinbo
Jin, Shichao
An, Feng
Zhang, Huaiqing
Fan, Jiangchuan
Eichhorn, Markus P.
Jin, Chengye
Chen, Bangqian
Jiang, Ling
Yun, Ting
author_facet Xue, Xinbo
Jin, Shichao
An, Feng
Zhang, Huaiqing
Fan, Jiangchuan
Eichhorn, Markus P.
Jin, Chengye
Chen, Bangqian
Jiang, Ling
Yun, Ting
author_sort Xue, Xinbo
collection PubMed
description Forested environments feature a highly complex radiation regime, and solar radiation is hindered from penetrating into the forest by the 3D canopy structure; hence, canopy shortwave radiation varies spatiotemporally, seasonally, and meteorologically, making the radiant flux challenging to both measure and model. Here, we developed a synergetic method using airborne LiDAR data and computer graphics to model the forest canopy and calculate the radiant fluxes of three forest plots (conifer, broadleaf, and mixed). Directional incident solar beams were emitted according to the solar altitude and azimuth angles, and the forest canopy surface was decomposed into triangular elements. A ray tracing algorithm was utilized to simulate the propagation of reflected and transmitted beams within the forest canopy. Our method accurately modeled the solar radiant fluxes and demonstrated good agreement (R(2) ≥ 0.82) with the plot-scale results of hemispherical photo-based HPEval software and pyranometer measurements. The maximum incident radiant flux appeared in the conifer plot at noon on June 15 due to the largest solar altitude angle (81.21°) and dense clustering of tree crowns; the conifer plot also received the maximum reflected radiant flux (10.91-324.65 kW) due to the higher reflectance of coniferous trees and the better absorption of reflected solar beams. However, the broadleaf plot received more transmitted radiant flux (37.7-226.71 kW) for the trees in the shaded area due to the larger transmittance of broadleaf species. Our method can directly simulate the detailed plot-scale distribution of canopy radiation and is valuable for researching light-dependent biophysiological processes.
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spelling pubmed-93275872022-08-04 Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics Xue, Xinbo Jin, Shichao An, Feng Zhang, Huaiqing Fan, Jiangchuan Eichhorn, Markus P. Jin, Chengye Chen, Bangqian Jiang, Ling Yun, Ting Plant Phenomics Research Article Forested environments feature a highly complex radiation regime, and solar radiation is hindered from penetrating into the forest by the 3D canopy structure; hence, canopy shortwave radiation varies spatiotemporally, seasonally, and meteorologically, making the radiant flux challenging to both measure and model. Here, we developed a synergetic method using airborne LiDAR data and computer graphics to model the forest canopy and calculate the radiant fluxes of three forest plots (conifer, broadleaf, and mixed). Directional incident solar beams were emitted according to the solar altitude and azimuth angles, and the forest canopy surface was decomposed into triangular elements. A ray tracing algorithm was utilized to simulate the propagation of reflected and transmitted beams within the forest canopy. Our method accurately modeled the solar radiant fluxes and demonstrated good agreement (R(2) ≥ 0.82) with the plot-scale results of hemispherical photo-based HPEval software and pyranometer measurements. The maximum incident radiant flux appeared in the conifer plot at noon on June 15 due to the largest solar altitude angle (81.21°) and dense clustering of tree crowns; the conifer plot also received the maximum reflected radiant flux (10.91-324.65 kW) due to the higher reflectance of coniferous trees and the better absorption of reflected solar beams. However, the broadleaf plot received more transmitted radiant flux (37.7-226.71 kW) for the trees in the shaded area due to the larger transmittance of broadleaf species. Our method can directly simulate the detailed plot-scale distribution of canopy radiation and is valuable for researching light-dependent biophysiological processes. AAAS 2022-07-16 /pmc/articles/PMC9327587/ /pubmed/35935676 http://dx.doi.org/10.34133/2022/9856739 Text en Copyright © 2022 Xinbo Xue et al. https://creativecommons.org/licenses/by/4.0/Exclusive Licensee Nanjing Agricultural University. Distributed under a Creative Commons Attribution License (CC BY 4.0).
spellingShingle Research Article
Xue, Xinbo
Jin, Shichao
An, Feng
Zhang, Huaiqing
Fan, Jiangchuan
Eichhorn, Markus P.
Jin, Chengye
Chen, Bangqian
Jiang, Ling
Yun, Ting
Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title_full Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title_fullStr Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title_full_unstemmed Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title_short Shortwave Radiation Calculation for Forest Plots Using Airborne LiDAR Data and Computer Graphics
title_sort shortwave radiation calculation for forest plots using airborne lidar data and computer graphics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327587/
https://www.ncbi.nlm.nih.gov/pubmed/35935676
http://dx.doi.org/10.34133/2022/9856739
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