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  "metadata_modified": "2023-08-30T07:33:10.010345",
            
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  "name": 
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  "name": 
            
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"individual-tree-tls-point-clouds-for-tree-volume-estimation",
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"individual-tree-tls-point-clouds-for-tree-volume-estimation",
            
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  "notes": "## Dataset\r\nThis dataset is based on terrestrial laser 
48
  "notes": "## Dataset\r\nThis dataset is based on terrestrial laser 
            
49
scanning (TLS) data acquired during winter 2020/2021 in leaf-off 
49
scanning (TLS) data acquired during winter 2020/2021 in leaf-off 
            
50
conditions, with a Leica BLK 360 instrument following a tree-centric 
50
conditions, with a Leica BLK 360 instrument following a tree-centric 
            
51
scanning pattern. \r\nThe data was acquired on two sites (47.42\u00b0N 
51
scanning pattern. \r\nThe data was acquired on two sites (47.42\u00b0N 
            
52
8.49\u00b0E and 47.504\u00b0N, 7.78\u00b0E), both of which were 
52
8.49\u00b0E and 47.504\u00b0N, 7.78\u00b0E), both of which were 
            
53
managed mixed temperate forest stands.\r\nIndividual trees were 
53
managed mixed temperate forest stands.\r\nIndividual trees were 
            
54
semi-automatically segmented from the co-registered TLS point 
54
semi-automatically segmented from the co-registered TLS point 
            
55
clouds.\r\n\r\n## Background\r\nAccurate estimates of individual tree 
55
clouds.\r\n\r\n## Background\r\nAccurate estimates of individual tree 
            
56
volume or biomass within forest inventories are essential for 
56
volume or biomass within forest inventories are essential for 
            
57
calibration and validation of biomass mapping products based on Earth 
57
calibration and validation of biomass mapping products based on Earth 
            
58
observation data.\r\nTerrestrial laser scanning (TLS) enables detailed 
58
observation data.\r\nTerrestrial laser scanning (TLS) enables detailed 
            
59
and non-destructive volume estimation of individual trees, with 
59
and non-destructive volume estimation of individual trees, with 
            
60
existing approaches ranging from simple geometrical features to 
60
existing approaches ranging from simple geometrical features to 
            
61
virtual 3D reconstruction of entire trees. Validating such approaches 
61
virtual 3D reconstruction of entire trees. Validating such approaches 
            
62
with weight measurements is a key step before the integration of TLS 
62
with weight measurements is a key step before the integration of TLS 
            
63
or other close-range technologies into operational applications such 
63
or other close-range technologies into operational applications such 
            
64
as forest inventories.\r\nIn this study, we firstly evaluate 
64
as forest inventories.\r\nIn this study, we firstly evaluate 
            
65
individual tree volume estimation approaches based on 3D 
65
individual tree volume estimation approaches based on 3D 
            
66
reconstruction through quantitative structure models (QSM) against 
66
reconstruction through quantitative structure models (QSM) against 
            
67
destructive reference data of 60 trees and compare them to operational 
67
destructive reference data of 60 trees and compare them to operational 
            
68
allometric scaling models (ASM).\r\nSecondly, we determine the 
68
allometric scaling models (ASM).\r\nSecondly, we determine the 
            
69
explanatory power of TLS-derived geometric parameters regarding total 
69
explanatory power of TLS-derived geometric parameters regarding total 
            
70
tree, stem, coarse wood and fine branch volume.",
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tree, stem, coarse wood and fine branch volume.",
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
            
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    "created": "2016-07-05T13:46:14.456454",
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    "created": "2016-07-05T13:46:14.456454",
            
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    "description": "The Swiss National Forest Inventory records the 
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    "description": "The Swiss National Forest Inventory records the 
            
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current state and the changes of the Swiss forest. The survey obtains 
77
current state and the changes of the Swiss forest. The survey obtains 
            
78
data about trees, stands, sample plots and through enquiries at the 
78
data about trees, stands, sample plots and through enquiries at the 
            
79
local forest service.\r\n\r\nThe NFI carried out by the Swiss Federal 
79
local forest service.\r\n\r\nThe NFI carried out by the Swiss Federal 
            
80
Institute for Forest, Snow and Landscape Research (WSL) in 
80
Institute for Forest, Snow and Landscape Research (WSL) in 
            
81
collaboration with the Forest Division at Federal Office for the 
81
collaboration with the Forest Division at Federal Office for the 
            
82
Environment (FOEN ). The WSL is responsible for the planning, survey 
82
Environment (FOEN ). The WSL is responsible for the planning, survey 
            
83
and analysis, as well as the scientific interpretation and publication 
83
and analysis, as well as the scientific interpretation and publication 
            
84
of the NFI. The political interpretation and implementation is done by 
84
of the NFI. The political interpretation and implementation is done by 
            
85
the Forest Division.\r\n\r\nThe first survey (LFI1) took place from 
85
the Forest Division.\r\n\r\nThe first survey (LFI1) took place from 
            
86
1983\u201385, the second survey followed in 1993\u201395 and the third 
86
1983\u201385, the second survey followed in 1993\u201395 and the third 
            
87
inventory was carried out 2004\u20132006. Since 2009, the continuous 
87
inventory was carried out 2004\u20132006. Since 2009, the continuous 
            
88
survey of the fourth NFI (2009\u20132017) has been in 
88
survey of the fourth NFI (2009\u20132017) has been in 
            
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progress.\r\n\r\nMore information: https://www.lfi.ch/lfi/lfi-en.php",
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progress.\r\n\r\nMore information: https://www.lfi.ch/lfi/lfi-en.php",
            
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  "publication_state": "published",
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  "publication_state": "published",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "Bornand, A., Rehush, N., Morsdorf, F., 
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  "related_publications": "Bornand, A., Rehush, N., Morsdorf, F., 
            
t
105
Th\u00fcrig, E., Abegg, M., Individual Tree Volume Estimation with 
t
105
Th\u00fcrig, E., Abegg, M., 2022. Individual tree volume estimation 
            
106
Terrestrial Laser Scanning: Evaluating Reconstructive and Allometric 
106
with terrestrial laser scanning: evaluating reconstructive and 
            
107
Approaches. Available at SSRN: https://ssrn.com/abstract=4357176 or 
107
allometric approaches. Agricultural and Forest Meteorology 341, 
            
108
http://dx.doi.org/10.2139/ssrn.4357176 ",
108
1\u201341. \nhttps://doi.org/10.1016/j.agrformet.2023.109654",
            
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  "relationships_as_object": [],
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      "description": "\"ASM\" denotes volume estimates calculated by 
118
      "description": "\"ASM\" denotes volume estimates calculated by 
            
119
allometric scaling models (as used in Swiss NFI), based on tree 
119
allometric scaling models (as used in Swiss NFI), based on tree 
            
120
height, DBH and D7.\r\n\"QSM\" denotes volume estimates derived from 
120
height, DBH and D7.\r\n\"QSM\" denotes volume estimates derived from 
            
121
TLS point clouds by quantitative structure models (QSM).\r\nThe 
121
TLS point clouds by quantitative structure models (QSM).\r\nThe 
            
122
remaining variables are geometrical features directly calculated from 
122
remaining variables are geometrical features directly calculated from 
            
123
single tree TLS point clouds.\r\nFor more detailed variable 
123
single tree TLS point clouds.\r\nFor more detailed variable 
            
124
descriptions see related publication.",
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