Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form

Article


Tarsha Kurdi, Fayez, Lewandowicz, Elżbieta, Shan, Jie and Gharineiat, Zahra. 2024. "Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17, pp. 3010-3022. https://doi.org/10.1109/JSTARS.2024.3349549
Article Title

Three-Dimensional Modeling and Visualization of Single Tree LiDAR Point Cloud Using Matrixial Form

ERA Journal ID200605
Article CategoryArticle
AuthorsTarsha Kurdi, Fayez, Lewandowicz, Elżbieta, Shan, Jie and Gharineiat, Zahra
Journal TitleIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Journal Citation17, pp. 3010-3022
Number of Pages13
Year2024
ISSN1939-1404
2151-1535
Digital Object Identifier (DOI)https://doi.org/10.1109/JSTARS.2024.3349549
Web Address (URL)https://ieeexplore.ieee.org/document/10380663
AbstractTree modeling and visualization still represent a challenge in the light detecting and ranging area. Starting from the segmented tree point clouds, this article presents an innovative tree modeling and visualization approach. The algorithm simulates the tree point cloud by a rotating surface. Three matrices, X, Y , and Z , are calculated by considering the middle of the projected tree point cloud on the horizontal plane. This mathematical form not only allows tree modeling and visualization but also permits the calculation of geometric characteristics and parameters of the tree. The superimposition of the tree point cloud over the constructed model confirms its high accuracy where all the points of the tree cloud are within the constructed model. The tests with multiple single trees demonstrate an overall average fit between 0.3 and 0.89 m. The built tree models are also compliant with the Open Geospatial Consortium CityGML standards at the level of a physical model. This approach opens a door to numerous applications for visualization, computation, and study of forestry and vegetation in urban as well as rural areas.
KeywordsLight detection and ranging (LiDAR); Open Geospatial Consortium (OGC) CityGML physical model; tree model; vegetation; visualization
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020401399. Geomatic engineering not elsewhere classified
Byline AffiliationsSchool of Surveying and Built Environment
University of Warmia and Mazury, Poland
Purdue University, United States
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