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


Journal

Plant phenomics (Washington, D.C.)
ISSN: 2643-6515
Titre abrégé: Plant Phenomics
Pays: United States
ID NLM: 101769942

Informations de publication

Date de publication:
2022
Historique:
received: 18 01 2022
accepted: 09 06 2022
entrez: 8 8 2022
pubmed: 9 8 2022
medline: 9 8 2022
Statut: epublish

Résumé

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 (

Identifiants

pubmed: 35935676
doi: 10.34133/2022/9856739
pmc: PMC9327587
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9856739

Informations de copyright

Copyright © 2022 Xinbo Xue et al.

Déclaration de conflit d'intérêts

The authors declare that there are no conflicts of interest regarding the publication of this article.

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Auteurs

Xinbo Xue (X)

School of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China.
Forestry College, Nanjing Forestry University, Nanjing 210037, China.

Shichao Jin (S)

Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production Cosponsored by Province and Ministry, Nanjing Agricultural University, Nanjing 210095, China.

Feng An (F)

Chinese Academy of Tropical Agricultural Sciences, Ministry of Agriculture, Rubber Research Institute, Danzhou Investigation and Experiment Station of Tropical Crops, Danzhou, China.

Huaiqing Zhang (H)

Research Institute of Forestry Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China.

Jiangchuan Fan (J)

National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China.

Markus P Eichhorn (MP)

School of Biological, Earth and Environmental Sciences, University College Cork, Distillery Fields, North Mall, Cork T23 N73K, Ireland.
Environmental Research Institute, University College Cork, Lee Road, Cork T23 XE10, Ireland.

Chengye Jin (C)

School of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China.

Bangqian Chen (B)

Chinese Academy of Tropical Agricultural Sciences, Ministry of Agriculture, Rubber Research Institute, Danzhou Investigation and Experiment Station of Tropical Crops, Danzhou, China.

Ling Jiang (L)

School of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China.

Ting Yun (T)

School of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China.
Forestry College, Nanjing Forestry University, Nanjing 210037, China.

Classifications MeSH