A reinterpretation of the gap fraction of tree crowns from the perspectives of computer graphics and porous media theory
文献类型： 外文期刊
作者： Zhu, Yunfeng 1 ; Li, Dongni 1 ; Fan, Jiangchuan 2 ; Zhang, Huaiqing 3 ; Eichhorn, Markus P. 4 ; Wang, Xiangjun 6 ; Yun, Ting 1 ;
作者机构： 1.Nanjing Forestry Univ, Sch Informat Sci & Technol, Nanjing, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing, Peoples R China
3.Chinese Acad Forestry, Res Inst Forestry Resource Informat Tech, Beijing, Peoples R China
4.Univ Coll Cork, Sch Biol Earth & Environm Sci, Cork, Ireland
5.Univ Coll Cork, Environm Res Inst, Cork, Ireland
6.Chinese Acad Trop Agr Sci, Rubber Res Inst, Haikou, Peoples R China
7.Nanjing Forestry Univ, Forestry Coll, Nanjing, Peoples R China
关键词： volume-based gap fraction; porous media theory; fine geometric characterization; equivalent leaf thickness; computer graphics
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.6； 五年影响因子：6.8 ）
ISSN： 1664-462X
年卷期： 2023 年 14 卷
页码：
收录情况： SCI
摘要： The gap fraction (GF) of vegetative canopies is an important property related to the contained bulk of reproductive elements and woody facets within the tree crown volume. This work was developed from the perspectives of porous media theory and computer graphics techniques, considering the vegetative elements in the canopy as a solid matrix and treating the gaps between them as pores to guide volume-based GF(vol) calculations. Woody components and individual leaves were extracted from terrestrial laser scanning data. The concept of equivalent leaf thickness describing the degrees of leaf curling and drooping was proposed to construct hexagonal prisms properly enclosing the scanned points of each leaf, and cylinder models were adopted to fit each branch segment, enabling the calculation of the equivalent leaf and branch volumes within the crown. Finally, the volume-based GF(vol) of the tree crown following the definition of the void fraction in porous media theory was calculated as one minus the ratio of the total plant leaf and branch volume to the canopy volume. This approach was tested on five tree species and a forest plot with variable canopy architecture, yielding an estimated maximum volume-based GF(vol) of 0.985 for a small crepe myrtle and a minimal volume-based GF(vol) of 0.953 for a sakura tree. The 3D morphology of each compositional element in the tree canopy was geometrically defined and the canopy was considered a porous structure to conduct GF(vol) calculations based on multidisciplinary theory.
- 相关文献
作者其他论文 更多>>
-
Genome-wide identification of rubber tree PILS auxin transporter gene families and functional characterization of HbPILS6
作者：Yang, Baoyi;Li, Weifang;Huang, Xiao;Zhang, Yuanyuan;Gao, Xinsheng;Ding, Shitao;Wang, Yao;Wang, Xiangjun;Yang, Baoyi;Qi, Juncang
关键词：
Hevea brasiliensis ;PIN-LIKES (PILS) gene family;HbPILS6 ; Plant height regulation; Auxin signaling; Stress response -
Integrating Multi-Temporal Landsat and Sentinel Data for Enhanced Oil Palm Plantation Mapping and Age Estimation in Malaysia
作者：Li, Caihui;Kou, Weili;Li, Caihui;Chen, Bangqian;Wang, Xincheng;Wu, Zhixiang;Lan, Guoyu;Lai, Hongyan;Wang, Guizhen;Wang, Xincheng;Yun, Ting;Ong-Abdullah, Meilina;Azmi Tohiran, Kamil;Amit, Bettycopa
关键词：oil palm mapping; age structure analysis; Landsat-Sentinel integration; LandTrendr; oilseed crop
-
A Fine-Scale Segmentation Method for Individual Rubber Trees Based on UAV LiDAR Point Cloud
作者：Li, Li;Ye, Zilin;Li, Hao;Yan, Miying;Zhou, Guoxiong;Wang, Hengrui;Wang, Xiangjun;Lv, Mingjie
关键词：Vegetation; Rubber; Point cloud compression; Noise; Accuracy; Image segmentation; Feature extraction; Forests; Deep learning; Optimization; Adaptive coati particle optimization algorithm; cosine-space cross attention (CSCA); multiscale feature aggregation (MSFA) module; rubber tree fine segmentation
-
TM-WSNet: A precise segmentation method for individual rubber trees based on UAV LiDAR point cloud
作者：Yan, Lele;Zhou, Guoxiong;Yan, Miying;Wang, Xiangjun
关键词：Rubber tree segmentation; Hybrid feature extraction module; Wavelet grid sampling; Multi-level feature fusion; Scale optimization algorithm
-
A multi-sensor, phenology-based approach framework for mapping cassava cultivation dynamics and intercropping in highly fragmented agricultural landscapes
作者：Wang, Xincheng;Lai, Hongyan;Wang, Guizhen;Chen, Bangqian;Wang, Qinfei;Zhang, Zhenwen;Lu, Xiaojing;Li, Kaimian;Wang, Xincheng;Yun, Ting;Lao, Shangye;Liao, Qi;Lu, Saiqing;Chen, Ruirui;Fang, Shijing;Pan, Feng;Yan, Huabin;Li, Kaimian
关键词：Cassava; Remote sensing; Phenology; Intercropping; Multi-sensor
-
A framework for phenotyping rubber trees under intense wind stress using laser scanning and digital twin technology
作者：Yun, Ting;Yun, Ting;Yuan, Xinyue;Fang, Wenjie;Lu, Xin;Eichhorn, Markus P.;Jin, Shichao;Wang, Xiangjun;Zhang, Huaiqing
关键词：Rubber tree phenotyping; Wind stress; Aerodynamic model; Computer graphics; Terrestrial laser scanning; Digital twin
-
A Bottom-Up Multi-Feature Fusion Algorithm for Individual Tree Segmentation in Dense Rubber Tree Plantations Using Unmanned Aerial Vehicle-Light Detecting and Ranging
作者：Zeng, Zhipeng;Huang, Xiao;Wang, Xiangjun;Zeng, Zhipeng;Miao, Junpeng;Chen, Peng;Tan, Junxiang;Zeng, Zhipeng;Zhou, Ping
关键词：individual tree segmentation; LiDAR point clouds; rubber plantations; bottom-up segmentation; multi-feature fusion; precision forestry
