Integrating Real Tree Skeleton Reconstruction Based on Partial Computational Virtual Measurement (CVM) with Actual Forest Scenario Rendering: : A Solid Step Forward for the Realization of the Digital Twins of Trees and Forests

GND
1217608354
Zugehörigkeit
National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China
Wang, Zhichao;
Zugehörigkeit
College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China
Lu, Xin;
ORCID
0000-0003-1545-2475
Zugehörigkeit
National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China
An, Feng;
Zugehörigkeit
National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China
Zhou, Lijun;
Zugehörigkeit
National Danzhou Investigation and Experiment Station of Tropical Crops, Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou 571737, China
Wang, Xiangjun;
GND
131063162X
ORCID
0000-0001-6342-5784
Zugehörigkeit
Department of Geography, Friedrich-Schiller-University Jena
Wang, Zhihao;
Zugehörigkeit
Research Institute of Forestry Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
Zhang, Huaiqing;
ORCID
0000-0003-4294-8337
Zugehörigkeit
College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China
Yun, Ting

Digital twins of forests (trees) are computational virtual recreations of forests (trees) in which the entity distributions and physical processes in real-world forests (trees) are duplicated. It is expected that conventional forest science and management can be undertaken in a digital twin of forests (trees) if the recreation of a real-world forest (tree) has accurate and comprehensive enough information. However, due to the various differences between the current tree model and the real tree, these envisioned digital twins of the forests (trees) stay a theoretical concept. In this study, we developed a processing strategy that partially integrated computational virtual measurement (CVM) process into the tree modeling workflow. Owing to the feature of CVM, partial tree skeleton reconstruction procedures were considered to have higher mechanical objectivity compared to conventional mathematical modeling methods. The reason was that we developed a novel method called virtual diameter tape (VDT), which could provide a certain percentage of modeling elements using CVM. Technically, VDT was able to virtually measure diameters and spatial distribution of cross-sectional area of trees, including the basal area, from point clouds. VDT simulated the physical scenario of diameter tapes, observing point clouds of trees. Diameter and the cross-sectional area of stem and branches were obtained by two consecutive physical measurement processes, one in the forest sample site and another in the virtual space. At the same time, VDT obtained better or a similar accuracy compared to the mathematical methods, i.e., Hough transform-based methods, using the same data sets. The root-mean-square deviation (RMSE) of retrieval of diameter at breast height (DBH) using VDT was 1.02 cm, while DBH obtained from three conventional methods varied from 1.29 cm to 1.73 cm. Based on VDT measurement results, tree skeleton reconstruction and actual forest scenario rendering of our sample plots were further implemented. Beyond the visual consistency, we believe that our work might be a small and solid step in the technological evolution from tree models to the digital twin of forests (trees).

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