Version 1
: Received: 23 April 2024 / Approved: 23 April 2024 / Online: 23 April 2024 (17:23:23 CEST)
How to cite:
Tarsha Kurdi, F.; Lewandowicz, E.; Gharineiat, Z.; Shan, J. Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data. Preprints2024, 2024041523. https://doi.org/10.20944/preprints202404.1523.v1
Tarsha Kurdi, F.; Lewandowicz, E.; Gharineiat, Z.; Shan, J. Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data. Preprints 2024, 2024041523. https://doi.org/10.20944/preprints202404.1523.v1
Tarsha Kurdi, F.; Lewandowicz, E.; Gharineiat, Z.; Shan, J. Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data. Preprints2024, 2024041523. https://doi.org/10.20944/preprints202404.1523.v1
APA Style
Tarsha Kurdi, F., Lewandowicz, E., Gharineiat, Z., & Shan, J. (2024). Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data. Preprints. https://doi.org/10.20944/preprints202404.1523.v1
Chicago/Turabian Style
Tarsha Kurdi, F., Zahra Gharineiat and Jie Shan. 2024 "Accurate Calculation of Upper Biomass Volume of Single Trees Using Matrixial Representation of LiDAR Data" Preprints. https://doi.org/10.20944/preprints202404.1523.v1
Abstract
This paper introduces a novel method for accurately calculating the upper biomass of single trees using Light Detection And Ranging (LiDAR) point cloud data. The proposed algorithm involves classifying the tree point cloud into two distinct ones: the trunk point cloud and the crown point cloud. Each part is then processed using specific techniques to create a 3D model and determine its volume. The trunk point cloud is segmented based on individual stems, with each stem further divided into slices that are modeled as cylinders. On the other hand, the crown point cloud is analyzed by calculating its footprint and gravity center. The footprint is further divided into angular sectors, with each being used to create a rotating surface around the vertical line passing through the gravity center. All models are represented in a matrix format, simplifying the process of minimizing and calculating the tree’s upper biomass, consisting of crown biomass and trunk biomass. To validate the proposed approach, both terrestrial and airborne datasets are utilized. A comparison with existing algorithms in the literature confirms the effectiveness of the new method. The study shows that the proposed algorithm achieves an average fit between 0.01 m and 0.49 m for individual trees.
Keywords
LiDAR; tree modeling; upper biomass; tree crown; tree trunk; point cloud
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
