Estimating above-ground biomass of individual trees with terrestrial laser scanner and 3D quantitative structure modelling

Muumbe, Tasiyiwa P; Tagwireyi, Paradzayi; Mafuratidze, Pride; Hussin, Y.A.; Leeuwen, Louise van

doi:10.2989/20702620.2020.1818535

Cited by 8 publications

(6 citation statements)

References 49 publications

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“…Terrestrial photogrammetry Photogrammetric point cloud [115][116][117][118][119][120][121][122][123] Aerial photogrammetry UAV sequence images [124] Photogrammetric point cloud [125][126][127][128][129] Aerial laser scanning LiDAR point clouds [130] Terrestrial laser scanning (TLS) LiDAR point clouds [39,40,43,44,[131][132][133][134][135][136][137][138][139][140][141][142] Mobile laser scanning (MLS) LiDAR point clouds [143,144] Aerial laser scanning (ALS) & aerial photography LiDAR point clouds & images identifying tree species [41] Terrestrial laser scanning (TLS) & terrestrial photography…”

Section: Data Source Input Data Literaturementioning

confidence: 99%

“…For QSMs, the parameters need to be predefined manually for tree reconstruction (e.g., cover patch/set diameter, relative cylinder length), especially for the cover set diameter [44,133,163,164]. The patchwork "cover sets" algorithm, which grows a global surface by connecting local patches, is applied before segmenting the point clouds of trees into individual woody branches and trunks in the initial step of the reconstruction [163].…”

Section: Type 3 Approachmentioning

confidence: 99%

“…The patchwork "cover sets" algorithm, which grows a global surface by connecting local patches, is applied before segmenting the point clouds of trees into individual woody branches and trunks in the initial step of the reconstruction [163]. Different cover set diameters result in significant differences in final QSMs [133]. Extra effort is demanded in the optimization of these parameters [44].…”

Section: Type 3 Approachmentioning

confidence: 99%

See 2 more Smart Citations

3D Tree Reconstruction in Support of Urban Microclimate Simulation: A Comprehensive Literature Review

et al. 2021

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The negative climate change induced by rapid urbanization has become a global environmental issue. Numerous studies have been devoted to microclimate regulation functions performed by urban vegetation. Digital city information modeling provides a powerful tool for various simulations and data analytics for the sustainable development of urban areas. However, the method reconstructing urban trees is still in its early stage compared to the relatively mature building modeling. Most prior studies on tree reconstruction focused on retrieving geometric features, while other factors related to urban microclimate simulation were rarely addressed. This paper presents a comprehensive literature review and in-depth analysis covering two distinct research directions in relation to urban microclimate simulation. The first one is set on the identification of key factors related to trees’ impact on urban microclimate. The second one is dedicated to approaches for three-dimensional (3D) tree reconstruction. Based on the findings, the paper identifies information including trees’ geometric, physiological characteristics and relation to the surroundings required for 3D tree reconstruction in the context of urban microclimate simulation, and further assesses the potential of the 3D tree reconstruction approaches to accommodate these pieces of information. An appropriate 3D tree reconstruction approach, which allows for the supply of the required information for urban microclimate simulation, is recommended.

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Section: Data Source Input Data Literaturementioning

confidence: 99%

Section: Type 3 Approachmentioning

confidence: 99%

Section: Type 3 Approachmentioning

confidence: 99%

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3D Tree Reconstruction in Support of Urban Microclimate Simulation: A Comprehensive Literature Review

et al. 2021

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“…QSM is a geometric tree model that describes the geometry and topology of the tree trunk and branches by fitting a series of cylinders [19,21]. By combining TLS and QSM, the tree volume, biomass [3,12,15,[22][23][24][25] and branching architecture [26] can be estimated.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Allometric Scaling of Vectorized Branch Lengths of Trees with Terrestrial Laser Scanning and Quantitative Structure Modeling: A Case Study in Guyana

Sun,

Lin

2023

Remote Sensing

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Allometric scaling is closely related to the morphology, function and behavior of trees, which are of great significance to the study of ecology. However, most of the traditional allometric scaling studies used the scalar attributes of trees, without considering the 3D vector mode of tree growth. In order to investigate the allometric relationships between branch lengths in 3D vector mode, in this study, an accurate and detailed quantitative structure model was used to reconstruct tree architectures from 3D point cloud data collected by terrestrial laser scanning and extract the structural parameters of each branch (length, branching level and zenith angle). The standardized major axis was used to establish and analyze the scalar and vector allometric relationships between branch lengths. Our results show that at the same branching level and using the same allometric model, the scaling exponents between the lengths of branches and the lengths of cumulative child (descendant) branches (no matter whether the lengths are in scalar or vector form) are similar among trees, and there is no significant difference between the scaling exponents of most trees. And the scaling exponents between the lengths of the horizontal components of branches and the cumulative lengths of the horizontal components of the child (descendant) branches are much larger than those between the lengths of the vertical components of branches and the cumulative lengths of vertical components of the child (descendant) branches. At different branching levels, the scaling exponents between the lengths of branches and the cumulative lengths of descendant branches tend to decrease with the increase in the branching level. The allometric models in terms of the cumulative lengths of horizontal components of the child (descendant) branches and the allometric models in terms of the cumulative lengths of child (descendant) branches have similar model accuracy and scaling exponents. The study results of allometric relationships between tree branch lengths in 3D mode are of great importance for understanding the crown morphology and the branching rule, which is helpful to further understand the growth strategies and adaptation mechanisms of trees and explain the growth and development mechanisms of trees from a physiological perspective.

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“…TLS can also help to understand the correlation and cause of Basal Stem Rot (BSR) and its effects on the oil palm plantation and its canopy architecture [16]. To correctly estimate tree attributes, a 3D Quantitative Structure Model (QSM) is very useful for measuring DBH and tree height and estimating AGB [17,18].…”

Section: Introductionmentioning

confidence: 99%

Qualitative Analysis of Tree Canopy Top Points Extraction from Different Terrestrial Laser Scanner Combinations in Forest Plots

Kushwaha

Singh

Jain

et al. 2023

IJGI

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In forestry research, for forest inventories or other applications which require accurate 3D information on the forest structure, a Terrestrial Laser Scanner (TLS) is an efficient tool for vegetation structure estimation. Light Detection and Ranging (LiDAR) can even provide high-resolution information in tree canopies due to its high penetration capability. Depending on the forest plot size, tree density, and structure, multiple TLS scans are acquired to cover the forest plot in all directions to avoid any voids in the dataset that are generated. However, while increasing the number of scans, we often tend to increase the data redundancy as we keep acquiring data for the same region from multiple scan positions. In this research, an extensive qualitative analysis was carried out to examine the capability and efficiency of TLS to generate canopy top points in six different scanning combinations. A total of nine scans were acquired for each forest plot, and from these nine scans, we made six different combinations to evaluate the 3D vegetation structure derived from each scan combination, such as Center Scans (CS), Four Corners Scans (FCS), Four Corners with Center Scans (FCwCS), Four Sides Center Scans (FSCS), Four Sides Center with Center Scans (FSCwCS), and All Nine Scans (ANS). We considered eight forest plots with dimensions of 25 m × 25 m, of which four plots were of medium tree density, and the other four had a high tree density. The forest plots are located in central Slovakia; European beech was the dominant tree species with a mixture of European oak, Silver fir, Norway spruce, and European hornbeam. Altogether, 487 trees were considered for this research. The quantification of tree canopy top points obtained from a TLS point cloud is very crucial as the point cloud is used to derive the Digital Surface Model (DSM) and Canopy Height Model (CHM). We also performed a statistical evaluation by calculating the differences in the canopy top points between ANS and the five other combinations and found that the most significantly different combination was FSCwCS respective to ANS. The Root Mean Squared Error (RMSE) of the deviations in tree canopy top points obtained for plots TLS_Plot1 and TLS_Plot2 ranged from 0.89 m to 14.98 m and 0.61 m to 7.78 m, respectively. The relative Root Mean Squared Error (rRMSE) obtained for plots TLS_Plot1 and TLS_Plot2 ranged from 0.15% to 2.48% and 0.096% to 1.22%, respectively.

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Estimating above-ground biomass of individual trees with terrestrial laser scanner and 3D quantitative structure modelling

Cited by 8 publications

References 49 publications

3D Tree Reconstruction in Support of Urban Microclimate Simulation: A Comprehensive Literature Review

3D Tree Reconstruction in Support of Urban Microclimate Simulation: A Comprehensive Literature Review

Assessing the Allometric Scaling of Vectorized Branch Lengths of Trees with Terrestrial Laser Scanning and Quantitative Structure Modeling: A Case Study in Guyana

Qualitative Analysis of Tree Canopy Top Points Extraction from Different Terrestrial Laser Scanner Combinations in Forest Plots

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