Changes
On March 6, 2025 at 2:33:22 PM UTC,
-
Updated description of TreeNetAI from
A Toolbox designed around neural networks for time series analysis of TreeNet data. The software containing the machine learning models is stored as a repository on GitHub (https://github.com/treenet/treenetai). TreeNet (treenet.info) is an international monitoring and research network in which automated tree stem radius fluctuations measured with point dendrometers are analyzed in terms of forest ecosystem responses to climate change. A continuous stream of microclimate and tree physiology data provides realtime information on tree water relations and tree growth. TreeNet aims to link research results from carbon flux sites with dendrometer data to entire landscapes. Further it provides online-tools to its partners to automatically interpret stem radius fluctuations in terms of tree water deficit, wood growth and related indicators for forest ecosystem carbon sink and drought stress. The project was initiated by Roman Zweifel, WSL and Werner Eugster, ETHZ in 2009.
toA Toolbox designed around neural networks for time series analysis of TreeNet data. The software containing the machine learning models is stored as a repository on GitHub (https://github.com/treenet/treenetai) and licensed under GNU GENERAL PUBLIC LICENSE version 3. TreeNet (treenet.info) is an international monitoring and research network in which automated tree stem radius fluctuations measured with point dendrometers are analyzed in terms of forest ecosystem responses to climate change. A continuous stream of microclimate and tree physiology data provides realtime information on tree water relations and tree growth. TreeNet aims to link research results from carbon flux sites with dendrometer data to entire landscapes. Further it provides online-tools to its partners to automatically interpret stem radius fluctuations in terms of tree water deficit, wood growth and related indicators for forest ecosystem carbon sink and drought stress. The project was initiated by Roman Zweifel, WSL and Werner Eugster, ETHZ in 2009.
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"software\", | ||
4 | \"publication\", \"supervision\"], \"email\": | 4 | \"publication\", \"supervision\"], \"email\": | ||
5 | \"mirko.lukovic@wsl.ch\", \"given_name\": \"Mirko\", \"identifier\": | 5 | \"mirko.lukovic@wsl.ch\", \"given_name\": \"Mirko\", \"identifier\": | ||
6 | \"0000-0003-0694-1621\", \"name\": \"Lukovic\"}, {\"affiliation\": | 6 | \"0000-0003-0694-1621\", \"name\": \"Lukovic\"}, {\"affiliation\": | ||
7 | \"Swiss Federal Institute for Forest Snow and Landscape Research WSL, | 7 | \"Swiss Federal Institute for Forest Snow and Landscape Research WSL, | ||
8 | Zuercherstrasse 111, 8903 Birmensdorf, Switzerland\", | 8 | Zuercherstrasse 111, 8903 Birmensdorf, Switzerland\", | ||
9 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | 9 | \"affiliation_02\": \"\", \"affiliation_03\": \"\", \"data_credit\": | ||
10 | [\"software\", \"publication\", \"supervision\"], \"email\": | 10 | [\"software\", \"publication\", \"supervision\"], \"email\": | ||
11 | \"roman.zweifel@wsl.ch\", \"given_name\": \"Roman\", \"identifier\": | 11 | \"roman.zweifel@wsl.ch\", \"given_name\": \"Roman\", \"identifier\": | ||
12 | \"0000-0001-9438-0582\", \"name\": \"Zweifel\"}]", | 12 | \"0000-0001-9438-0582\", \"name\": \"Zweifel\"}]", | ||
13 | "author_email": null, | 13 | "author_email": null, | ||
14 | "creator_user_id": "4b17ba06-c802-4b74-824e-f34328c19774", | 14 | "creator_user_id": "4b17ba06-c802-4b74-824e-f34328c19774", | ||
15 | "date": "[{\"date\": \"2012-03-01\", \"date_type\": \"created\", | 15 | "date": "[{\"date\": \"2012-03-01\", \"date_type\": \"created\", | ||
16 | \"end_date\": \"2025-03-06\"}]", | 16 | \"end_date\": \"2025-03-06\"}]", | ||
17 | "doi": "10.16904/envidat.446", | 17 | "doi": "10.16904/envidat.446", | ||
18 | "funding": "[{\"grant_number\": \"\", \"institution\": \"ETH ORD | 18 | "funding": "[{\"grant_number\": \"\", \"institution\": \"ETH ORD | ||
19 | Program\", \"institution_url\": | 19 | Program\", \"institution_url\": | ||
20 | -portal.ch/projects/ai-module-for-gap-filling-treenet-time-series/\"}, | 20 | -portal.ch/projects/ai-module-for-gap-filling-treenet-time-series/\"}, | ||
21 | {\"grant_number\": \"00.5053. PZ / 935559972\", \"institution\": | 21 | {\"grant_number\": \"00.5053. PZ / 935559972\", \"institution\": | ||
22 | \"Swiss Federal Office for the Environment and the involved partner | 22 | \"Swiss Federal Office for the Environment and the involved partner | ||
23 | institutions (https://treenet.info))\", \"institution_url\": | 23 | institutions (https://treenet.info))\", \"institution_url\": | ||
24 | \"https://www.bafu.admin.ch/\"}]", | 24 | \"https://www.bafu.admin.ch/\"}]", | ||
25 | "groups": [], | 25 | "groups": [], | ||
26 | "id": "cc075630-946c-4b19-9f5e-d081a683494b", | 26 | "id": "cc075630-946c-4b19-9f5e-d081a683494b", | ||
27 | "isopen": false, | 27 | "isopen": false, | ||
28 | "language": "en", | 28 | "language": "en", | ||
29 | "license_id": "other-undefined", | 29 | "license_id": "other-undefined", | ||
30 | "license_title": "Other (Specified in the description)", | 30 | "license_title": "Other (Specified in the description)", | ||
31 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | 31 | "maintainer": "{\"affiliation\": \"WSL\", \"email\": | ||
32 | \"mirko.lukovic@wsl.ch\", \"given_name\": \"Mirko\", \"identifier\": | 32 | \"mirko.lukovic@wsl.ch\", \"given_name\": \"Mirko\", \"identifier\": | ||
33 | \"0000-0003-0694-1621\", \"name\": \"Lukovic\"}", | 33 | \"0000-0003-0694-1621\", \"name\": \"Lukovic\"}", | ||
34 | "maintainer_email": null, | 34 | "maintainer_email": null, | ||
35 | "metadata_created": "2025-03-06T14:14:37.128328", | 35 | "metadata_created": "2025-03-06T14:14:37.128328", | ||
n | 36 | "metadata_modified": "2025-03-06T14:30:26.701003", | n | 36 | "metadata_modified": "2025-03-06T14:33:22.347380", |
37 | "name": "treenetai", | 37 | "name": "treenetai", | ||
38 | "notes": "A Toolbox designed around neural networks for time series | 38 | "notes": "A Toolbox designed around neural networks for time series | ||
39 | analysis of TreeNet data. The software containing the machine learning | 39 | analysis of TreeNet data. The software containing the machine learning | ||
40 | models is stored as a repository on GitHub | 40 | models is stored as a repository on GitHub | ||
t | 41 | (https://github.com/treenet/treenetai).\r\n\r\nTreeNet (treenet.info) | t | 41 | (https://github.com/treenet/treenetai) and licensed under GNU GENERAL |
42 | PUBLIC LICENSE version 3.\r\n\r\nTreeNet (treenet.info) is an | ||||
42 | is an international monitoring and research network in which automated | 43 | international monitoring and research network in which automated tree | ||
43 | tree stem radius fluctuations measured with point dendrometers are | 44 | stem radius fluctuations measured with point dendrometers are analyzed | ||
44 | analyzed in terms of forest ecosystem responses to climate change. A | 45 | in terms of forest ecosystem responses to climate change. A continuous | ||
45 | continuous stream of microclimate and tree physiology data provides | 46 | stream of microclimate and tree physiology data provides realtime | ||
46 | realtime information on tree water relations and tree | 47 | information on tree water relations and tree growth.\r\n\r\nTreeNet | ||
47 | growth.\r\n\r\nTreeNet aims to link research results from carbon flux | 48 | aims to link research results from carbon flux sites with dendrometer | ||
48 | sites with dendrometer data to entire landscapes. Further it provides | 49 | data to entire landscapes. Further it provides online-tools to its | ||
49 | online-tools to its partners to automatically interpret stem radius | 50 | partners to automatically interpret stem radius fluctuations in terms | ||
50 | fluctuations in terms of tree water deficit, wood growth and related | 51 | of tree water deficit, wood growth and related indicators for forest | ||
51 | indicators for forest ecosystem carbon sink and drought | 52 | ecosystem carbon sink and drought stress.\r\n\r\nThe project was | ||
52 | stress.\r\n\r\nThe project was initiated by Roman Zweifel, WSL and | 53 | initiated by Roman Zweifel, WSL and Werner Eugster, ETHZ in 2009.", | ||
53 | Werner Eugster, ETHZ in 2009.", | ||||
54 | "num_resources": 1, | 54 | "num_resources": 1, | ||
55 | "num_tags": 9, | 55 | "num_tags": 9, | ||
56 | "organization": { | 56 | "organization": { | ||
57 | "approval_status": "approved", | 57 | "approval_status": "approved", | ||
58 | "created": "2024-05-21T13:42:49.764153", | 58 | "created": "2024-05-21T13:42:49.764153", | ||
59 | "description": "TreeNet is an international monitoring and | 59 | "description": "TreeNet is an international monitoring and | ||
60 | research network in which automated tree stem radius fluctuations | 60 | research network in which automated tree stem radius fluctuations | ||
61 | measured with point dendrometers are analyzed in terms of forest | 61 | measured with point dendrometers are analyzed in terms of forest | ||
62 | ecosystem responses to climate change. A continuous stream of | 62 | ecosystem responses to climate change. A continuous stream of | ||
63 | microclimate and tree physiology data provides realtime information on | 63 | microclimate and tree physiology data provides realtime information on | ||
64 | tree water relations and tree growth.\r\n\r\nTreeNet aims to link | 64 | tree water relations and tree growth.\r\n\r\nTreeNet aims to link | ||
65 | research results from carbon flux sites with dendrometer data to | 65 | research results from carbon flux sites with dendrometer data to | ||
66 | entire landscapes. Further it provides online-tools to its partners to | 66 | entire landscapes. Further it provides online-tools to its partners to | ||
67 | automatically interpret stem radius fluctuations in terms of tree | 67 | automatically interpret stem radius fluctuations in terms of tree | ||
68 | water deficit, wood growth and related indicators for forest ecosystem | 68 | water deficit, wood growth and related indicators for forest ecosystem | ||
69 | carbon sink and drought stress.", | 69 | carbon sink and drought stress.", | ||
70 | "id": "b9ea261b-6eb6-493b-80be-4524d5c8ef49", | 70 | "id": "b9ea261b-6eb6-493b-80be-4524d5c8ef49", | ||
71 | "image_url": "", | 71 | "image_url": "", | ||
72 | "is_organization": true, | 72 | "is_organization": true, | ||
73 | "name": "treenet", | 73 | "name": "treenet", | ||
74 | "state": "active", | 74 | "state": "active", | ||
75 | "title": "TreeNet", | 75 | "title": "TreeNet", | ||
76 | "type": "organization" | 76 | "type": "organization" | ||
77 | }, | 77 | }, | ||
78 | "owner_org": "b9ea261b-6eb6-493b-80be-4524d5c8ef49", | 78 | "owner_org": "b9ea261b-6eb6-493b-80be-4524d5c8ef49", | ||
79 | "private": false, | 79 | "private": false, | ||
80 | "publication": "{\"publication_year\": \"2025\", \"publisher\": | 80 | "publication": "{\"publication_year\": \"2025\", \"publisher\": | ||
81 | \"EnviDat\"}", | 81 | \"EnviDat\"}", | ||
82 | "publication_state": "pub_pending", | 82 | "publication_state": "pub_pending", | ||
83 | "related_datasets": "", | 83 | "related_datasets": "", | ||
84 | "related_publications": "Mirko Lukovi\u0107, Roman Zweifel et al. | 84 | "related_publications": "Mirko Lukovi\u0107, Roman Zweifel et al. | ||
85 | (2022), Reconstructing radial stem size changes of trees with machine | 85 | (2022), Reconstructing radial stem size changes of trees with machine | ||
86 | learning, J. R. Soc. Interface, 1920220349. | 86 | learning, J. R. Soc. Interface, 1920220349. | ||
87 | http://doi.org/10.1098/rsif.2022.0349", | 87 | http://doi.org/10.1098/rsif.2022.0349", | ||
88 | "relationships_as_object": [], | 88 | "relationships_as_object": [], | ||
89 | "relationships_as_subject": [], | 89 | "relationships_as_subject": [], | ||
90 | "resource_type": "software", | 90 | "resource_type": "software", | ||
91 | "resource_type_general": "software", | 91 | "resource_type_general": "software", | ||
92 | "resources": [ | 92 | "resources": [ | ||
93 | { | 93 | { | ||
94 | "cache_last_updated": null, | 94 | "cache_last_updated": null, | ||
95 | "cache_url": null, | 95 | "cache_url": null, | ||
96 | "created": "2025-03-06T14:15:16.076483", | 96 | "created": "2025-03-06T14:15:16.076483", | ||
97 | "description": "", | 97 | "description": "", | ||
98 | "doi": "", | 98 | "doi": "", | ||
99 | "format": "", | 99 | "format": "", | ||
100 | "hash": "", | 100 | "hash": "", | ||
101 | "id": "85c4833c-2b8d-4db4-a956-e076e6845e89", | 101 | "id": "85c4833c-2b8d-4db4-a956-e076e6845e89", | ||
102 | "last_modified": null, | 102 | "last_modified": null, | ||
103 | "metadata_modified": "2025-03-06T14:15:16.062869", | 103 | "metadata_modified": "2025-03-06T14:15:16.062869", | ||
104 | "mimetype": null, | 104 | "mimetype": null, | ||
105 | "mimetype_inner": null, | 105 | "mimetype_inner": null, | ||
106 | "name": "TreeNetAI", | 106 | "name": "TreeNetAI", | ||
107 | "package_id": "cc075630-946c-4b19-9f5e-d081a683494b", | 107 | "package_id": "cc075630-946c-4b19-9f5e-d081a683494b", | ||
108 | "position": 0, | 108 | "position": 0, | ||
109 | "publication_state": "", | 109 | "publication_state": "", | ||
110 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | 110 | "resource_size": "{\"size_units\": \"kb\", \"size_value\": | ||
111 | \"\"}", | 111 | \"\"}", | ||
112 | "resource_type": null, | 112 | "resource_type": null, | ||
113 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | 113 | "restricted": "{\"allowed_users\": \"\", \"level\": \"public\", | ||
114 | \"shared_secret\": \"\"}", | 114 | \"shared_secret\": \"\"}", | ||
115 | "size": null, | 115 | "size": null, | ||
116 | "state": "active", | 116 | "state": "active", | ||
117 | "url": "https://github.com/treenet/treenetai", | 117 | "url": "https://github.com/treenet/treenetai", | ||
118 | "url_type": null | 118 | "url_type": null | ||
119 | } | 119 | } | ||
120 | ], | 120 | ], | ||
121 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | 121 | "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[5.95587, | ||
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124 | "spatial_info": "Switzerland", | 124 | "spatial_info": "Switzerland", | ||
125 | "state": "active", | 125 | "state": "active", | ||
126 | "subtitle": "", | 126 | "subtitle": "", | ||
127 | "tags": [ | 127 | "tags": [ | ||
128 | { | 128 | { | ||
129 | "display_name": "DENDROMETER", | 129 | "display_name": "DENDROMETER", | ||
130 | "id": "cc458085-324d-48a5-9c7b-7e11e564fa91", | 130 | "id": "cc458085-324d-48a5-9c7b-7e11e564fa91", | ||
131 | "name": "DENDROMETER", | 131 | "name": "DENDROMETER", | ||
132 | "state": "active", | 132 | "state": "active", | ||
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134 | }, | 134 | }, | ||
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139 | "state": "active", | 139 | "state": "active", | ||
140 | "vocabulary_id": null | 140 | "vocabulary_id": null | ||
141 | }, | 141 | }, | ||
142 | { | 142 | { | ||
143 | "display_name": "MACHINE LEARNING", | 143 | "display_name": "MACHINE LEARNING", | ||
144 | "id": "66c2084e-b683-47a2-878c-48f33c6e2a78", | 144 | "id": "66c2084e-b683-47a2-878c-48f33c6e2a78", | ||
145 | "name": "MACHINE LEARNING", | 145 | "name": "MACHINE LEARNING", | ||
146 | "state": "active", | 146 | "state": "active", | ||
147 | "vocabulary_id": null | 147 | "vocabulary_id": null | ||
148 | }, | 148 | }, | ||
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154 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
155 | }, | 155 | }, | ||
156 | { | 156 | { | ||
157 | "display_name": "STEM RADIUS CHANGES", | 157 | "display_name": "STEM RADIUS CHANGES", | ||
158 | "id": "c235d997-c9a9-47f3-a327-fbcdba59ceb0", | 158 | "id": "c235d997-c9a9-47f3-a327-fbcdba59ceb0", | ||
159 | "name": "STEM RADIUS CHANGES", | 159 | "name": "STEM RADIUS CHANGES", | ||
160 | "state": "active", | 160 | "state": "active", | ||
161 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
162 | }, | 162 | }, | ||
163 | { | 163 | { | ||
164 | "display_name": "TIME SERIES", | 164 | "display_name": "TIME SERIES", | ||
165 | "id": "12734ef1-cbba-4a27-8051-9887596c4d8c", | 165 | "id": "12734ef1-cbba-4a27-8051-9887596c4d8c", | ||
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167 | "state": "active", | 167 | "state": "active", | ||
168 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
169 | }, | 169 | }, | ||
170 | { | 170 | { | ||
171 | "display_name": "TREE GROWTH", | 171 | "display_name": "TREE GROWTH", | ||
172 | "id": "f5e80ca9-5486-48d4-9c5f-e7ded7e67386", | 172 | "id": "f5e80ca9-5486-48d4-9c5f-e7ded7e67386", | ||
173 | "name": "TREE GROWTH", | 173 | "name": "TREE GROWTH", | ||
174 | "state": "active", | 174 | "state": "active", | ||
175 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
176 | }, | 176 | }, | ||
177 | { | 177 | { | ||
178 | "display_name": "TREE WATER DEFICIT", | 178 | "display_name": "TREE WATER DEFICIT", | ||
179 | "id": "9df5b1d9-dfbc-4de4-822f-bd2b9eba0c3d", | 179 | "id": "9df5b1d9-dfbc-4de4-822f-bd2b9eba0c3d", | ||
180 | "name": "TREE WATER DEFICIT", | 180 | "name": "TREE WATER DEFICIT", | ||
181 | "state": "active", | 181 | "state": "active", | ||
182 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
183 | }, | 183 | }, | ||
184 | { | 184 | { | ||
185 | "display_name": "TREENET", | 185 | "display_name": "TREENET", | ||
186 | "id": "6c2bc0c2-2c01-4192-a6ac-0b77fca66361", | 186 | "id": "6c2bc0c2-2c01-4192-a6ac-0b77fca66361", | ||
187 | "name": "TREENET", | 187 | "name": "TREENET", | ||
188 | "state": "active", | 188 | "state": "active", | ||
189 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
190 | } | 190 | } | ||
191 | ], | 191 | ], | ||
192 | "title": "TreeNetAI", | 192 | "title": "TreeNetAI", | ||
193 | "type": "dataset", | 193 | "type": "dataset", | ||
194 | "url": null, | 194 | "url": null, | ||
195 | "version": "0.1" | 195 | "version": "0.1" | ||
196 | } | 196 | } |