MASSIVE-SCALE TREE MODELLING FROM TLS DATA

90 citations as recorded by crossref.

1. An annually-resolved stem growth tool based on 3D laser scans and 2D tree-ring data B. Wagner et al.
2. Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning J. Pyorala et al.
3. Measuring the Contribution of Leaves to the Structural Complexity of Urban Tree Crowns with Terrestrial Laser Scanning G. Arseniou et al.
4. Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning S. Bauwens et al.
5. Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach S. Momo Takoudjou et al.
6. Comparison and Combination of Mobile and Terrestrial Laser Scanning for Natural Forest Inventories A. Bienert et al.
7. Sensor Agnostic Semantic Segmentation of Structurally Diverse and Complex Forest Point Clouds Using Deep Learning S. Krisanski et al.
8. Accuracy differences in aboveground woody biomass estimation with terrestrial laser scanning for trees in urban and rural forests and different leaf conditions G. Arseniou et al.
9. TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds J. Henrich et al.
10. Woody Surface Area Measurements with Terrestrial Laser Scanning Relate to the Anatomical and Structural Complexity of Urban Trees G. Arseniou et al.
11. Non-Destructive Allometric Modeling for Tree Volume Estimation in Tropical Dry Deciduous Forests of India Using Terrestrial Laser Scanner S. Rodda et al.
12. LeWoS: A universal leaf‐wood classification method to facilitate the 3D modelling of large tropical trees using terrestrial LiDAR D. Wang et al.
13. Long-Term Abandonment of Forest Management Has a Strong Impact on Tree Morphology and Wood Volume Allocation Pattern of European Beech (Fagus sylvatica L.) L. Georgi et al.
14. Comparison of wood volume estimates of young trees from terrestrial laser scan data M. Kunz et al.
15. Multivariate characterisation of a blackberry–alder agroforestry system in South Africa: hydrological, pedological, dendrological and meteorological measurements S. Hassler et al.
16. Applying quantitative structure models to plot-based terrestrial laser data to assess dendrometric parameters in dense mixed forests C. Torresan et al.
17. Estimation of above‐ground biomass of large tropical trees with terrestrial LiDAR J. Gonzalez de Tanago et al.
18. Estimation of Aboveground Biomass of Individual Trees by Backpack LiDAR Based on Parameter-Optimized Quantitative Structural Models (AdQSM) A. Ruhan et al.
19. A Novel Approach to Characterizing Crown Vertical Profile Shapes Using Terrestrial Laser Scanning (TLS) F. Wang et al.
20. Tree Branch Characterisation from Point Clouds: a Comprehensive Review R. Hartley et al.
21. LiDAR Point Clouds to 3-D Urban Models$:$ A Review R. Wang et al.
22. Plot-level reconstruction of 3D tree models for aboveground biomass estimation G. Fan et al.
23. Improving the 3D representation of plant architecture and parameterization efficiency of functional–structural tree models using terrestrial LiDAR data V. Bekkers et al.
24. A Two-Stage Approach for Individual Tree Segmentation From TLS Point Clouds L. Chang et al.
25. Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al.
26. 3D Graph-Based Individual-Tree Isolation (Treeiso) from Terrestrial Laser Scanning Point Clouds Z. Xi & C. Hopkinson
27. Leaf orientation measurement in a mixed hemiboreal broadleaf forest stand using terrestrial laser scanner A. Kuusk
28. Horvitz‐Thompson–like estimation with distance‐based detection probabilities for circular plot sampling of forests K. Kansanen et al.
29. Assessment of Carbon Stock at Tree Level Using Terrestrial Laser Scanning Vs. Traditional Methods in Tropical Forest, India J. Singhal et al.
30. Automatic tree species recognition with quantitative structure models M. Åkerblom et al.
31. Scalable individual tree delineation in 3D point clouds J. Wang et al.
32. Assessing the Potential of Backpack-Mounted Mobile Laser Scanning Systems for Tree Phenotyping R. Hartley et al.
33. Above-ground biomass references for urban trees from terrestrial laser scanning data D. Kükenbrink et al.
34. Retrieval of Forest Structural Parameters from Terrestrial Laser Scanning: A Romanian Case Study I. Pascu et al.
35. Terrestrial laser scanning for non-destructive estimates of liana stem biomass S. Krishna Moorthy et al.
36. Performance of Laser-Based Electronic Devices for Structural Analysis of Amazonian Terra-Firme Forests I. Pereira et al.
37. Close-Range Remote Sensing of Forest Structure for Biodiversity Assessments: A Systematic Literature Review J. Feigl et al.
38. Analysis of Geometric Primitives in Quantitative Structure Models of Tree Stems Å. Markku et al.
39. A New Architectural Perspective on Wind Damage in a Natural Forest T. Jackson et al.
40. Assessing the effects of burn severity on post-fire tree structures using the fused drone and mobile laser scanning point clouds Y. Qi et al.
41. Using photography to estimate above-ground biomass of small trees B. Hays et al.
42. Comparison of Mature Douglas-Firs’ Crown Structures Developed with Two Quantitative Structural Models Using TLS Point Clouds for Neighboring Trees in a Natural Regime Stand R. Fang & B. Strimbu
43. Change Detection of Urban Trees in MLS Point Clouds Using Occupancy Grids P. Hirt et al.
44. Allometric models for above-ground biomass, carbon and nutrient content of wild cherry (Prunus avium L.) trees in agroforestry systems Z. Schindler et al.
45. Innovations in Ground and Airborne Technologies as Reference and for Training and Validation: Terrestrial Laser Scanning (TLS) M. Disney et al.
46. Effects of local neighbourhood diversity on crown structure and productivity of individual trees in mature mixed-species forests L. Georgi et al.
47. Genotyping Identification of Maize Based on Three-Dimensional Structural Phenotyping and Gaussian Fuzzy Clustering B. Xu et al.
48. Delineating and Reconstructing 3D Forest Fuel Components and Volumes with Terrestrial Laser Scanning Z. Xi et al.
49. Filtering Stems and Branches from Terrestrial Laser Scanning Point Clouds Using Deep 3-D Fully Convolutional Networks Z. Xi et al.
50. Forest Structural Complexity Tool—An Open Source, Fully-Automated Tool for Measuring Forest Point Clouds S. Krisanski et al.
51. Estimation of vegetation water content at leaf and canopy level using dual-wavelength commercial terrestrial laser scanners A. Elsherif et al.
52. A new method to estimate branch biomass from terrestrial laser scanning data by bridging tree structure models M. Hu et al.
53. Estimating architecture-based metabolic scaling exponents of tropical trees using terrestrial LiDAR and 3D modelling A. Lau et al.
54. Assessing Forest Vitality and Forest Structure Using 3D Data: A Case Study From the Hainich National Park, Germany M. Heidenreich & D. Seidel
55. Detecting Tree Stems from Volumetric TLS Data in Forest Environments with Rich Understory J. Heinzel & M. Huber
56. Automating Plot-Level Stem Analysis from Terrestrial Laser Scanning Z. Xi et al.
57. Feasibility of Terrestrial laser scanning for collecting stem volume information from single trees N. Saarinen et al.
58. Low Cost Automatic Reconstruction of Tree Structure by AdQSM with Terrestrial Close-Range Photogrammetry Y. Dong et al.
59. Classifying ecosystems with metaproperties from terrestrial laser scanner data I. Paynter et al.
60. Limitations of estimating branch volume from terrestrial laser scanning C. Morhart et al.
61. Assessment of above-ground biomass of individual hazelnut trees by terrestrial laser scanning and MATLAB® analysis E. Grobler et al.
62. AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds G. Fan et al.
63. Realistic Forests and the Modeling of Forest‐Atmosphere Exchange E. Bannister et al.
64. Topology-based individual tree segmentation for automated processing of terrestrial laser scanning point clouds X. Xu et al.
65. Bounding uncertainty in volumetric geometric models for terrestrial lidar observations of ecosystems I. Paynter et al.
66. Efficient shrub modelling based on terrestrial laser scanning (TLS) point clouds M. Li et al.
67. Applicability of different non-invasive methods for tree mass estimation: A review S. Dittmann et al.
68. New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning Y. Malhi et al.
69. Exploring Influences of Leaves on Urban Species Identification Using Handheld Laser Scanning Point Cloud: A Case Study in Hong Kong M. Wang & M. Wong
70. A Method for Extracting the Tree Feature Parameters of Populus tomentosa in the Leafy Stage X. Shen et al.
71. Measuring stem diameters with TLS in boreal forests by complementary fitting procedure T. Pitkänen et al.
72. 3D modeling and reconstruction of plants and trees: A cross-cutting review across computer graphics, vision, and plant phenotyping F. Okura
73. Terrestrial and Airborne Lidar to Quantify Shrub Cover for Canada Lynx (Lynx canadensis) Habitat Using Machine Learning J. Batchelor et al.
74. Observing ecosystems with lightweight, rapid‐scanning terrestrial lidar scanners I. Paynter et al.
75. Improving quantitative structure models with filters based on allometric scaling theory J. Hackenberg & J. Bontemps
76. Constrained Spectral Clustering of Individual Trees in Dense Forest Using Terrestrial Laser Scanning Data J. Heinzel & M. Huber
77. Extracting individual trees from lidar point clouds using treeseg A. Burt et al.
78. Estimation of Northern Hardwood Forest Inventory Attributes Using UAV Laser Scanning (ULS): Transferability of Laser Scanning Methods and Comparison of Automated Approaches at the Tree- and Stand-Level B. Vandendaele et al.
79. Tropical Species Classification with Structural Traits Using Handheld Laser Scanning Data M. Wang et al.
80. Terrestrial Laser Scanning (TLS) for tree structure studies: a review of methods for wood-leaf classifications from 3D point clouds S. Arrizza et al.
81. Kriging prediction of stand-level forest information using mobile laser scanning data adjusted for nondetection S. Saarela et al.
82. A Deep Learning-Based Method for Extracting Standing Wood Feature Parameters from Terrestrial Laser Scanning Point Clouds of Artificially Planted Forest X. Shen et al.
83. Nondestructive Estimation of the Above-Ground Biomass of Multiple Tree Species in Boreal Forests of China Using Terrestrial Laser Scanning S. Chen et al.
84. Extraction of tubular shapes from dense point clouds and application to tree reconstruction from laser scanned data J. Ravaglia et al.
85. Bayes Forest: a data-intensive generator of morphological tree clones I. Potapov et al.
86. Unsupervised semantic and instance segmentation of forest point clouds D. Wang
87. Applying High-Resolution UAV-LiDAR and Quantitative Structure Modelling for Estimating Tree Attributes in a Crop-Livestock-Forest System A. Dalla Corte et al.
88. How biomass and other tree architectural characteristics relate to the structural complexity of a beech-pine forest D. Seidel & F. Böttger
89. Surface reconstruction of incomplete datasets: A novel Poisson surface approach based on CSRBF J. Morel et al.
90. Comparison of Three Algorithms to Estimate Tree Stem Diameter from Terrestrial Laser Scanner Data J. Ravaglia et al.