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  "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"UZH\", 
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\"aline.bornand@wsl.ch\", \"given_name\": \"Aline\", \"identifier\": 
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\"aline.bornand@wsl.ch\", \"given_name\": \"Aline\", \"identifier\": 
            
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  "date": "[{\"date\": \"2020-11-24\", \"date_type\": \"collected\", 
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\"end_date\": \"2021-02-25\"}]",
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  "doi": "10.16904/envidat.403",
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  "doi": "10.16904/envidat.403",
            
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  "funding": "[{\"grant_number\": \"\", \"institution\": \"NFI\", 
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  "language": "en",
            
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  "license_title": "Creative Commons Attribution Share-Alike 
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  "license_title": "Creative Commons Attribution Share-Alike 
            
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(CC-BY-SA)",
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(CC-BY-SA)",
            
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
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  "license_url": "https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
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  "maintainer": "{\"affiliation\": \"WSL\", \"email\": 
            
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\"aline.bornand@wsl.ch\", \"given_name\": \"Aline\", \"identifier\": 
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  "metadata_modified": "2023-05-17T13:20:04.518566",
            
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  "name": 
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  "name": 
            
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"individual-tree-tls-point-clouds-for-tree-volume-estimation",
30
"individual-tree-tls-point-clouds-for-tree-volume-estimation",
            
31
  "notes": "## Dataset\r\nThis dataset is based on terrestrial laser 
31
  "notes": "## Dataset\r\nThis dataset is based on terrestrial laser 
            
32
scanning (TLS) data acquired during winter 2020/2021 in leaf-off 
32
scanning (TLS) data acquired during winter 2020/2021 in leaf-off 
            
33
conditions, with a Leica BLK 360 instrument following a tree-centric 
33
conditions, with a Leica BLK 360 instrument following a tree-centric 
            
34
scanning pattern. \r\nThe data was acquired on two sites (47.42\u00b0N 
34
scanning pattern. \r\nThe data was acquired on two sites (47.42\u00b0N 
            
35
8.49\u00b0E and 47.504\u00b0N, 7.78\u00b0E), both of which were 
35
8.49\u00b0E and 47.504\u00b0N, 7.78\u00b0E), both of which were 
            
36
managed mixed temperate forest stands.\r\nIndividual trees were 
36
managed mixed temperate forest stands.\r\nIndividual trees were 
            
37
semi-automatically segmented from the co-registered TLS point 
37
semi-automatically segmented from the co-registered TLS point 
            
38
clouds.\r\n\r\n## Background\r\nAccurate estimates of individual tree 
38
clouds.\r\n\r\n## Background\r\nAccurate estimates of individual tree 
            
39
volume or biomass within forest inventories are essential for 
39
volume or biomass within forest inventories are essential for 
            
40
calibration and validation of biomass mapping products based on Earth 
40
calibration and validation of biomass mapping products based on Earth 
            
41
observation data.\r\nTerrestrial laser scanning (TLS) enables detailed 
41
observation data.\r\nTerrestrial laser scanning (TLS) enables detailed 
            
42
and non-destructive volume estimation of individual trees, with 
42
and non-destructive volume estimation of individual trees, with 
            
43
existing approaches ranging from simple geometrical features to 
43
existing approaches ranging from simple geometrical features to 
            
44
virtual 3D reconstruction of entire trees. Validating such approaches 
44
virtual 3D reconstruction of entire trees. Validating such approaches 
            
45
with weight measurements is a key step before the integration of TLS 
45
with weight measurements is a key step before the integration of TLS 
            
46
or other close-range technologies into operational applications such 
46
or other close-range technologies into operational applications such 
            
47
as forest inventories.\r\nIn this study, we firstly evaluate 
47
as forest inventories.\r\nIn this study, we firstly evaluate 
            
48
individual tree volume estimation approaches based on 3D 
48
individual tree volume estimation approaches based on 3D 
            
49
reconstruction through quantitative structure models (QSM) against 
49
reconstruction through quantitative structure models (QSM) against 
            
50
destructive reference data of 60 trees and compare them to operational 
50
destructive reference data of 60 trees and compare them to operational 
            
51
allometric scaling models (ASM).\r\nSecondly, we determine the 
51
allometric scaling models (ASM).\r\nSecondly, we determine the 
            
52
explanatory power of TLS-derived geometric parameters regarding total 
52
explanatory power of TLS-derived geometric parameters regarding total 
            
53
tree, stem, coarse wood and fine branch volume.",
53
tree, stem, coarse wood and fine branch volume.",
            
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  "num_resources": 4,
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  "num_resources": 4,
            
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  "num_tags": 6,
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  "num_tags": 6,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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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 
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current state and the changes of the Swiss forest. The survey obtains 
            
61
data about trees, stands, sample plots and through enquiries at the 
61
data about trees, stands, sample plots and through enquiries at the 
            
62
local forest service.\r\n\r\nThe NFI carried out by the Swiss Federal 
62
local forest service.\r\n\r\nThe NFI carried out by the Swiss Federal 
            
63
Institute for Forest, Snow and Landscape Research (WSL) in 
63
Institute for Forest, Snow and Landscape Research (WSL) in 
            
64
collaboration with the Forest Division at Federal Office for the 
64
collaboration with the Forest Division at Federal Office for the 
            
65
Environment (FOEN ). The WSL is responsible for the planning, survey 
65
Environment (FOEN ). The WSL is responsible for the planning, survey 
            
66
and analysis, as well as the scientific interpretation and publication 
66
and analysis, as well as the scientific interpretation and publication 
            
67
of the NFI. The political interpretation and implementation is done by 
67
of the NFI. The political interpretation and implementation is done by 
            
68
the Forest Division.\r\n\r\nThe first survey (LFI1) took place from 
68
the Forest Division.\r\n\r\nThe first survey (LFI1) took place from 
            
69
1983\u201385, the second survey followed in 1993\u201395 and the third 
69
1983\u201385, the second survey followed in 1993\u201395 and the third 
            
70
inventory was carried out 2004\u20132006. Since 2009, the continuous 
70
inventory was carried out 2004\u20132006. Since 2009, the continuous 
            
71
survey of the fourth NFI (2009\u20132017) has been in 
71
survey of the fourth NFI (2009\u20132017) has been in 
            
72
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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    "title": "NFI",
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
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  "publication": "{\"publication_year\": \"2023\", \"publisher\": 
            
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\"EnviDat\"}",
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\"EnviDat\"}",
            
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  "publication_state": "approved",
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  "publication_state": "approved",
            
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  "related_datasets": "",
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  "related_datasets": "",
            
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  "related_publications": "Bornand, A., Rehush, N., Morsdorf, F., 
87
  "related_publications": "Bornand, A., Rehush, N., Morsdorf, F., 
            
88
Th\u00fcrig, E., Abegg, M., Individual Tree Volume Estimation with 
88
Th\u00fcrig, E., Abegg, M., Individual Tree Volume Estimation with 
            
89
Terrestrial Laser Scanning: Evaluating Reconstructive and Allometric 
89
Terrestrial Laser Scanning: Evaluating Reconstructive and Allometric 
            
90
Approaches. Available at SSRN: https://ssrn.com/abstract=4357176 or 
90
Approaches. Available at SSRN: https://ssrn.com/abstract=4357176 or 
            
91
http://dx.doi.org/10.2139/ssrn.4357176 ",
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http://dx.doi.org/10.2139/ssrn.4357176 ",
            
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  "relationships_as_object": [],
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resource_type": "dataset",
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  "resource_type": "dataset",
            
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  "resource_type_general": "dataset",
            
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      "created": "2023-04-21T09:14:29.524654",
            
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      "description": "\"ASM\" denotes volume estimates calculated by 
101
      "description": "\"ASM\" denotes volume estimates calculated by 
            
102
allometric scaling models (as used in Swiss NFI), based on tree 
102
allometric scaling models (as used in Swiss NFI), based on tree 
            
103
height, DBH and D7.\r\n\"QSM\" denotes volume estimates derived from 
103
height, DBH and D7.\r\n\"QSM\" denotes volume estimates derived from 
            
104
TLS point clouds by quantitative structure models (QSM).\r\nThe 
104
TLS point clouds by quantitative structure models (QSM).\r\nThe 
            
105
remaining variables are geometrical features directly calculated from 
105
remaining variables are geometrical features directly calculated from 
            
106
single tree TLS point clouds.\r\nFor more detailed variable 
106
single tree TLS point clouds.\r\nFor more detailed variable 
            
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descriptions see related publication.",
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descriptions see related publication.",
            
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