scholarly journals Research on Tree Pith Location in Radial Direction Based on Terrestrial Laser Scanning

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 671
Author(s):  
Yun Cao ◽  
Danyu Wang ◽  
Zewei Wang ◽  
Lijing Tian ◽  
Change Zheng ◽  
...  
Keyword(s):  
Cross Section ◽  
Geometric Property ◽  
Laser Scanning ◽  
Radial Direction ◽  
Terrestrial Laser Scanning ◽  
Tree Age ◽  
Property A ◽  
Location Method ◽  
Radial Location ◽  
Non Destructive

Obtaining the direction of a diameter line through the tree pith is the basis of effective sampling by a micro-drill resistance instrument. In order to implement non-destructive tree pith location in the radial direction, the geometric property of tree pith, the longest chord through the tree pith on the cross-section will bisect outer contour circumference, as first proposed and proven in this paper. Based on this property, a non-destructive tree pith radial location method based on terrestrial laser scanning was developed. The experiments of pith radial location were made on the tree discs and the error of location is less than 1.5% for cross-section shape closed to ellipse on four tree species. The geometric property and location method of the tree pith in this research would play an important role in studying the growth process of standing trees, obtaining processed wood properties, and estimating tree age.

Measurement planning for circular cross-section tunnels using terrestrial laser scanning

2013 ◽  
Vol 31 ◽  
pp. 1-9 ◽  
Author(s):  
Ramón Argüelles-Fraga ◽  
Celestino Ordóñez ◽  
Silverio García-Cortés ◽  
Javier Roca-Pardiñas
Keyword(s):  
Cross Section ◽  
Laser Scanning ◽  
Circular Cross Section ◽  
Terrestrial Laser Scanning ◽  
Measurement Planning

scholarly journals A Flexible Architecture for Extracting Metro Tunnel Cross Sections from Terrestrial Laser Scanning Point Clouds

2019 ◽  
Vol 11 (3) ◽  
pp. 297 ◽  
Author(s):  
Zhen Cao ◽  
Dong Chen ◽  
Yufeng Shi ◽  
Zhenxin Zhang ◽  
Fengxiang Jin ◽  
...  
Keyword(s):  
Cross Section ◽  
Cross Sections ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Point Clouds ◽  
Central Axis ◽  
Cross Sectional ◽  
Linear And Nonlinear ◽  
Metro Tunnel ◽  
The Cross

This paper presents a novel framework to extract metro tunnel cross sections (profiles) from Terrestrial Laser Scanning point clouds. The entire framework consists of two steps: tunnel central axis extraction and cross section determination. In tunnel central extraction, we propose a slice-based method to obtain an initial central axis, which is further divided into linear and nonlinear circular segments by an enhanced Random Sample Consensus (RANSAC) tunnel axis segmentation algorithm. This algorithm transforms the problem of hybrid linear and nonlinear segment extraction into a sole segmentation of linear elements defined at the tangent space rather than raw data space, significantly simplifying the tunnel axis segmentation. The extracted axis segments are then provided as input to the step of the cross section determination which generates the coarse cross-sectional points by intersecting a series of straight lines that rotate orthogonally around the tunnel axis with their local fitted quadric surface, i.e., cylindrical surface. These generated profile points are further refined and densified via solving a constrained nonlinear least squares problem. Our experiments on Nanjing metro tunnel show that the cross sectional fitting error is only 1.69 mm. Compared with the designed radius of the metro tunnel, the RMSE (Root Mean Square Error) of extracted cross sections’ radii only keeps 1.60 mm. We also test our algorithm on another metro tunnel in Shanghai, and the results show that the RMSE of radii only keeps 4.60 mm which is superior to a state-of-the-art method of 6.00 mm. Apart from the accurate geometry, our approach can maintain the correct topology among cross sections, thereby guaranteeing the production of geometric tunnel model without crack defects. Moreover, we prove that our algorithm is insensitive to the missing data and point density.

scholarly journals Deriving Merchantable Volume in Poplar through a Localized Tapering Function from Non-Destructive Terrestrial Laser Scanning

Forests ◽  
2016 ◽  
Vol 7 (12) ◽  
pp. 87 ◽  
Author(s):  
Yuan Sun ◽  
Xinlian Liang ◽  
Ziyu Liang ◽  
Clive Welham ◽  
Weizheng Li
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Non Destructive

scholarly journals Assessing terrestrial laser scanning for developing non-destructive biomass allometry

2018 ◽  
Vol 427 ◽  
pp. 217-229 ◽  
Author(s):  
Atticus E.L. Stovall ◽  
Kristina J. Anderson-Teixeira ◽  
Herman H. Shugart
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Non Destructive

scholarly journals Estimating Mangrove Forest Volume Using Terrestrial Laser Scanning and UAV-Derived Structure-from-Motion

Drones ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 32 ◽  
Author(s):  
Angus D. Warfield ◽  
Javier X. Leon
Keyword(s):  
Structure From Motion ◽  
Forest Structure ◽  
Mangrove Forest ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Cost Effective ◽  
Stand Age ◽  
Stem Density ◽  
Aerial Vehicle ◽  
Non Destructive

Mangroves provide a variety of ecosystem services, which can be related to their structuralcomplexity and ability to store carbon in the above ground biomass (AGB). Quantifying AGB inmangroves has traditionally been conducted using destructive, time-consuming, and costlymethods, however, Structure-from-Motion Multi-View Stereo (SfM-MVS) combined withunmanned aerial vehicle (UAV) imagery may provide an alternative. Here, we compared the abilityof SfM-MVS with terrestrial laser scanning (TLS) to capture forest structure and volume in threemangrove sites of differing stand age and species composition. We describe forest structure in termsof point density, while forest volume is estimated as a proxy for AGB using the surface differencingmethod. In general, SfM-MVS poorly captured mangrove forest structure, but was efficient incapturing the canopy height for volume estimations. The differences in volume estimations betweenTLS and SfM-MVS were higher in the juvenile age site (42.95%) than the mixed (28.23%) or mature(12.72%) age sites, with a higher stem density affecting point capture in both methods. These resultscan be used to inform non-destructive, cost-effective, and timely assessments of forest structure orAGB in mangroves in the future.

scholarly journals Terrestrial laser scanning for non-destructive estimates of liana stem biomass

2020 ◽  
Vol 456 ◽  
pp. 117751 ◽  
Author(s):  
Sruthi M. Krishna Moorthy ◽  
Pasi Raumonen ◽  
Jan Van den Bulcke ◽  
Kim Calders ◽  
Hans Verbeeck
Keyword(s):  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Stem Biomass ◽  
Non Destructive

scholarly journals Estimation of Pinus massoniana Leaf Area USING Terrestrial Laser Scanning

Forests ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 660 ◽  
Author(s):  
Yangbo Deng ◽  
Kunyong Yu ◽  
Xiong Yao ◽  
Qiaoya Xie ◽  
Yita Hsieh ◽  
...  
Keyword(s):  
Leaf Area ◽  
Point Cloud ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning ◽  
Pinus Massoniana ◽  
Accurate Estimation ◽  
Point Cloud Data ◽  
Individual Tree ◽  
Cloud Data ◽  
Non Destructive

The accurate estimation of leaf area is of great importance for the acquisition of information on the forest canopy structure. Currently, direct harvesting is used to obtain leaf area; however, it is difficult to quickly and effectively extract the leaf area of a forest. Although remote sensing technology can obtain leaf area by using a wide range of leaf area estimates, such technology cannot accurately estimate leaf area at small spatial scales. The purpose of this study is to examine the use of terrestrial laser scanning data to achieve a fast, accurate, and non-destructive estimation of individual tree leaf area. We use terrestrial laser scanning data to obtain 3D point cloud data for individual tree canopies of Pinus massoniana. Using voxel conversion, we develop a model for the number of voxels and canopy leaf area and then apply it to the 3D data. The results show significant positive correlations between reference leaf area and mass (R2 = 0.8603; p < 0.01). Our findings demonstrate that using terrestrial laser point cloud data with a layer thickness of 0.1 m and voxel size of 0.05 m can effectively improve leaf area estimations. We verify the suitability of the voxel-based method for estimating the leaf area of P. massoniana and confirmed the effectiveness of this non-destructive method.

scholarly journals Assessing the applicability of terrestrial laser scanning for mapping englacial conduits

2017 ◽  
Vol 64 (243) ◽  
pp. 37-48 ◽  
Author(s):  
J. E. KAMINTZIS ◽  
J. P. P. JONES ◽  
T. D. L. IRVINE-FYNN ◽  
T. O. HOLT ◽  
P. BUNTING ◽  
...  
Keyword(s):  
Cross Section ◽  
Laser Scanning ◽  
Temporal Evolution ◽  
Terrestrial Laser Scanning ◽  
Point Clouds ◽  
Glacier Surface ◽  
Channel Geometry ◽  
Direct Observations ◽  
Drainage Networks ◽  
Shaped Cross Section

ABSTRACTThe morphology of englacial drainage networks and their temporal evolution are poorly characterised, particularly within cold ice masses. At present, direct observations of englacial channels are restricted in both spatial and temporal resolution. Through novel use of a terrestrial laser scanning (TLS) system, the interior geometry of an englacial channel in Austre Brøggerbreen, Svalbard, was reconstructed and mapped. Twenty-eight laser scan surveys were conducted in March 2016, capturing the glacier surface around a moulin entrance and the uppermost 122 m reach of the adjoining conduit. The resulting point clouds provide detailed 3-D visualisation of the channel with point accuracy of 6.54 mm, despite low (<60%) overall laser returns as a result of the physical and optical properties of the clean ice, snow, hoar frost and sediment surfaces forming the conduit interior. These point clouds are used to map the conduit morphology, enabling extraction of millimetre-to-centimetre scale geometric measurements. The conduit meanders at a depth of 48 m, with a sinuosity of 2.7, exhibiting teardrop shaped cross-section morphology. This improvement upon traditional surveying techniques demonstrates the potential of TLS as an investigative tool to elucidate the nature of glacier hydrological networks, through reconstruction of channel geometry and wall composition.

Reconstructing Stem Cross Section Shapes From Terrestrial Laser Scanning

2017 ◽  
Vol 14 (2) ◽  
pp. 272-276 ◽  
Author(s):  
Di Wang ◽  
Ville Kankare ◽  
Eetu Puttonen ◽  
Markus Hollaus ◽  
Norbert Pfeifer
Keyword(s):  
Cross Section ◽  
Laser Scanning ◽  
Terrestrial Laser Scanning
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