Changes
On April 27, 2021 at 2:30:54 PM UTC, Administrator:
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Changed value of field
spatial
to{"type":"MultiPoint","coordinates":[[9.871859, 46.845432],[26.63658857345581,67.36682702851057]]}
in Forest canopy structure data for radiation and snow modelling (CH/FIN)
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"curation\", \"publication\", \"supervision\"], \"email\": | 4 | \"curation\", \"publication\", \"supervision\"], \"email\": | ||
5 | \"giulia.mazzotti@slf.ch\", \"given_name\": \"Giulia\", | 5 | \"giulia.mazzotti@slf.ch\", \"given_name\": \"Giulia\", | ||
6 | \"identifier\": \"0000-0003-3857-7449\", \"name\": \"Mazzotti\"}, | 6 | \"identifier\": \"0000-0003-3857-7449\", \"name\": \"Mazzotti\"}, | ||
7 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 7 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
8 | \"affiliation_03\": \"\", \"data_credit\": \"validation\", \"email\": | 8 | \"affiliation_03\": \"\", \"data_credit\": \"validation\", \"email\": | ||
9 | \"clare.webster@wsl.ch\", \"given_name\": \"Clare\", \"identifier\": | 9 | \"clare.webster@wsl.ch\", \"given_name\": \"Clare\", \"identifier\": | ||
10 | \"0000-0002-6386-6392\", \"name\": \"Webster\"}, {\"affiliation\": | 10 | \"0000-0002-6386-6392\", \"name\": \"Webster\"}, {\"affiliation\": | ||
11 | \"SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 11 | \"SLF\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
12 | \"data_credit\": \"supervision\", \"email\": \"jonas@slf.ch\", | 12 | \"data_credit\": \"supervision\", \"email\": \"jonas@slf.ch\", | ||
13 | \"given_name\": \"Tobias \", \"identifier\": \"0000-0003-0386-8676\", | 13 | \"given_name\": \"Tobias \", \"identifier\": \"0000-0003-0386-8676\", | ||
14 | \"name\": \"Jonas\"}]", | 14 | \"name\": \"Jonas\"}]", | ||
15 | "author_email": null, | 15 | "author_email": null, | ||
16 | "creator_user_id": "e0656282-3e6c-40f0-a967-c78d92e9392a", | 16 | "creator_user_id": "e0656282-3e6c-40f0-a967-c78d92e9392a", | ||
17 | "date": "[{\"date\": \"2019-01-01\", \"date_type\": \"collected\", | 17 | "date": "[{\"date\": \"2019-01-01\", \"date_type\": \"collected\", | ||
18 | \"end_date\": \"2020-01-01\"}]", | 18 | \"end_date\": \"2020-01-01\"}]", | ||
19 | "doi": "10.16904/envidat.220", | 19 | "doi": "10.16904/envidat.220", | ||
20 | "funding": "[{\"grant_number\": \"200021_169213\", \"institution\": | 20 | "funding": "[{\"grant_number\": \"200021_169213\", \"institution\": | ||
21 | \"Swiss National Science Foundation \", \"institution_url\": \"\"}]", | 21 | \"Swiss National Science Foundation \", \"institution_url\": \"\"}]", | ||
22 | "groups": [], | 22 | "groups": [], | ||
23 | "id": "117187b4-59b9-403c-a493-d2a6e1c97631", | 23 | "id": "117187b4-59b9-403c-a493-d2a6e1c97631", | ||
24 | "isopen": false, | 24 | "isopen": false, | ||
25 | "language": "en", | 25 | "language": "en", | ||
26 | "license_id": "wsl-data", | 26 | "license_id": "wsl-data", | ||
27 | "license_title": "WSL Data Policy", | 27 | "license_title": "WSL Data Policy", | ||
28 | "license_url": | 28 | "license_url": | ||
29 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | 29 | ps://www.wsl.ch/en/about-wsl/programmes-and-initiatives/envidat.html", | ||
30 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | 30 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | ||
31 | \"giulia.mazzotti@slf.ch\", \"given_name\": \"Giulia\", | 31 | \"giulia.mazzotti@slf.ch\", \"given_name\": \"Giulia\", | ||
32 | \"identifier\": \"0000-0003-3857-7449\", \"name\": \"Mazzotti\"}", | 32 | \"identifier\": \"0000-0003-3857-7449\", \"name\": \"Mazzotti\"}", | ||
33 | "maintainer_email": null, | 33 | "maintainer_email": null, | ||
34 | "metadata_created": "2020-10-22T19:57:45.319314", | 34 | "metadata_created": "2020-10-22T19:57:45.319314", | ||
n | 35 | "metadata_modified": "2021-04-27T14:18:55.909903", | n | 35 | "metadata_modified": "2021-04-27T14:30:54.401716", |
36 | "name": "chm-hp-4rtm", | 36 | "name": "chm-hp-4rtm", | ||
37 | "notes": "This dataset contains forest canopy structure data | 37 | "notes": "This dataset contains forest canopy structure data | ||
38 | acquired in a spruce forest at Laret, Switzerland, and a pine forest | 38 | acquired in a spruce forest at Laret, Switzerland, and a pine forest | ||
39 | at Sodankyl\u00e4, Finland. Data include: \r\n\r\n* Hemispherical | 39 | at Sodankyl\u00e4, Finland. Data include: \r\n\r\n* Hemispherical | ||
40 | photographs taken at transect intersection points of 13 experimental | 40 | photographs taken at transect intersection points of 13 experimental | ||
41 | plots (40x40m each)\r\n* a Canopy Height Model (tree height map) | 41 | plots (40x40m each)\r\n* a Canopy Height Model (tree height map) | ||
42 | derived by rasterizing airborne LiDAR data, encompassing the entire | 42 | derived by rasterizing airborne LiDAR data, encompassing the entire | ||
43 | simulation domain at Laret (150'000 m2)\r\n\r\nThese data provide the | 43 | simulation domain at Laret (150'000 m2)\r\n\r\nThese data provide the | ||
44 | necessary basis for creating canopy structure datasets to be used as | 44 | necessary basis for creating canopy structure datasets to be used as | ||
45 | input to the forest snow snow model FSM2. These datasets, the model | 45 | input to the forest snow snow model FSM2. These datasets, the model | ||
46 | input derivatives and the radiation and snow modelling are described | 46 | input derivatives and the radiation and snow modelling are described | ||
47 | in detail in the following publication:\r\n\r\n_Mazzotti, G., Webster, | 47 | in detail in the following publication:\r\n\r\n_Mazzotti, G., Webster, | ||
48 | C., Essery, R., and Jonas, T. (2021) Improving the physical | 48 | C., Essery, R., and Jonas, T. (2021) Improving the physical | ||
49 | representation of forest snow processes in coarse-resolution models: | 49 | representation of forest snow processes in coarse-resolution models: | ||
50 | lessons learned from upscaling hyper-resolution simulations. Water | 50 | lessons learned from upscaling hyper-resolution simulations. Water | ||
51 | Resources Research 57, e2020WR029064. doi: | 51 | Resources Research 57, e2020WR029064. doi: | ||
52 | 10.1029/2020WR029064_\r\n\r\nThis publication must be cited when using | 52 | 10.1029/2020WR029064_\r\n\r\nThis publication must be cited when using | ||
53 | the data. \r\n\r\n### See also: \r\nFor additional information on the | 53 | the data. \r\n\r\n### See also: \r\nFor additional information on the | ||
54 | FSM2 model, see the corresponding GitHub repository: | 54 | FSM2 model, see the corresponding GitHub repository: | ||
55 | //github.com/GiuliaMazzotti/FSM2/tree/hyres_enhanced_canopy\r\n\r\nThe | 55 | //github.com/GiuliaMazzotti/FSM2/tree/hyres_enhanced_canopy\r\n\r\nThe | ||
56 | datasets and the model have also been used in _Mazzotti et al. (2020) | 56 | datasets and the model have also been used in _Mazzotti et al. (2020) | ||
57 | Process-level evaluation of a hyper-resolution forest snow model using | 57 | Process-level evaluation of a hyper-resolution forest snow model using | ||
58 | distributed multi-sensor observations. doi: | 58 | distributed multi-sensor observations. doi: | ||
59 | 10.1029/2020WR027572_\r\n\r\n", | 59 | 10.1029/2020WR027572_\r\n\r\n", | ||
60 | "num_resources": 2, | 60 | "num_resources": 2, | ||
61 | "num_tags": 5, | 61 | "num_tags": 5, | ||
62 | "organization": { | 62 | "organization": { | ||
63 | "approval_status": "approved", | 63 | "approval_status": "approved", | ||
64 | "created": "2016-09-02T14:17:02.029939", | 64 | "created": "2016-09-02T14:17:02.029939", | ||
65 | "description": " The Research Unit investigates natural hazard | 65 | "description": " The Research Unit investigates natural hazard | ||
66 | processes in mountainous areas, in particular the triggering and | 66 | processes in mountainous areas, in particular the triggering and | ||
67 | propagation of floods, sediment transport, landslides, debris flows | 67 | propagation of floods, sediment transport, landslides, debris flows | ||
68 | and rock fall. Process studies on the scale of slopes, channels and | 68 | and rock fall. Process studies on the scale of slopes, channels and | ||
69 | catchments form the basis for the development of simulation models and | 69 | catchments form the basis for the development of simulation models and | ||
70 | of hazard assessment procedures and for the design of countermeasures. | 70 | of hazard assessment procedures and for the design of countermeasures. | ||
71 | To this end worldwide unique observation systems are developed, such | 71 | To this end worldwide unique observation systems are developed, such | ||
72 | as a debris flow balance and geophone systems for bedload transport. | 72 | as a debris flow balance and geophone systems for bedload transport. | ||
73 | Damage and damaging processes due to frequent and extreme events are | 73 | Damage and damaging processes due to frequent and extreme events are | ||
74 | assessed as prerequisites for the risk-based and sustainable | 74 | assessed as prerequisites for the risk-based and sustainable | ||
75 | management of natural hazards.\r\n\r\nA second focus of the unit is on | 75 | management of natural hazards.\r\n\r\nA second focus of the unit is on | ||
76 | the estimation and prediction of snow and water resources, e.g. for | 76 | the estimation and prediction of snow and water resources, e.g. for | ||
77 | hydropower production or early recognition of drought. The unit | 77 | hydropower production or early recognition of drought. The unit | ||
78 | operates a snow hydrological service for federal and cantonal agencies | 78 | operates a snow hydrological service for federal and cantonal agencies | ||
79 | and a drought information platform for a broad range of water | 79 | and a drought information platform for a broad range of water | ||
80 | users.\r\n\r\n__Further information__: | 80 | users.\r\n\r\n__Further information__: | ||
81 | .ch/en/about-wsl/organization/research-units/mountain-hydrology.html", | 81 | .ch/en/about-wsl/organization/research-units/mountain-hydrology.html", | ||
82 | "id": "8ca28da8-ad8f-401a-9356-0aa7fdba2604", | 82 | "id": "8ca28da8-ad8f-401a-9356-0aa7fdba2604", | ||
83 | "image_url": "2018-07-10-091052.004438LogoWSL.svg", | 83 | "image_url": "2018-07-10-091052.004438LogoWSL.svg", | ||
84 | "is_organization": true, | 84 | "is_organization": true, | ||
85 | "name": "gebirgshydrologie", | 85 | "name": "gebirgshydrologie", | ||
86 | "state": "active", | 86 | "state": "active", | ||
87 | "title": "GebirgsHydrologie", | 87 | "title": "GebirgsHydrologie", | ||
88 | "type": "organization" | 88 | "type": "organization" | ||
89 | }, | 89 | }, | ||
90 | "owner_org": "8ca28da8-ad8f-401a-9356-0aa7fdba2604", | 90 | "owner_org": "8ca28da8-ad8f-401a-9356-0aa7fdba2604", | ||
91 | "private": false, | 91 | "private": false, | ||
92 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | 92 | "publication": "{\"publication_year\": \"2020\", \"publisher\": | ||
93 | \"EnviDat\"}", | 93 | \"EnviDat\"}", | ||
94 | "publication_state": "pub_pending", | 94 | "publication_state": "pub_pending", | ||
95 | "related_datasets": "", | 95 | "related_datasets": "", | ||
96 | "related_publications": "Mazzotti, G., Webster, C., Essery, R., and | 96 | "related_publications": "Mazzotti, G., Webster, C., Essery, R., and | ||
97 | Jonas, T. (2021) Improving the physical representation of forest snow | 97 | Jonas, T. (2021) Improving the physical representation of forest snow | ||
98 | processes in coarse-resolution models: lessons learned from upscaling | 98 | processes in coarse-resolution models: lessons learned from upscaling | ||
99 | hyper-resolution simulations. Water Resources Research 57, | 99 | hyper-resolution simulations. Water Resources Research 57, | ||
100 | e2020WR029064. doi: 10.1029/2020WR029064\r\n", | 100 | e2020WR029064. doi: 10.1029/2020WR029064\r\n", | ||
101 | "relationships_as_object": [], | 101 | "relationships_as_object": [], | ||
102 | "relationships_as_subject": [], | 102 | "relationships_as_subject": [], | ||
103 | "resource_type": "dataset", | 103 | "resource_type": "dataset", | ||
104 | "resource_type_general": "dataset", | 104 | "resource_type_general": "dataset", | ||
105 | "resources": [ | 105 | "resources": [ | ||
106 | { | 106 | { | ||
107 | "cache_last_updated": null, | 107 | "cache_last_updated": null, | ||
108 | "cache_url": null, | 108 | "cache_url": null, | ||
109 | "created": "2020-10-22T20:08:02.820426", | 109 | "created": "2020-10-22T20:08:02.820426", | ||
110 | "description": "Hemispherical images at the intersection points | 110 | "description": "Hemispherical images at the intersection points | ||
111 | of the experimental plots at Laret (CH) and Sodankyl\u00e4 (FIN)", | 111 | of the experimental plots at Laret (CH) and Sodankyl\u00e4 (FIN)", | ||
112 | "doi": "", | 112 | "doi": "", | ||
113 | "format": ".zip", | 113 | "format": ".zip", | ||
114 | "hash": "", | 114 | "hash": "", | ||
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120 | "name": "Hemispherical Photographs", | 120 | "name": "Hemispherical Photographs", | ||
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136 | "cache_url": null, | 136 | "cache_url": null, | ||
137 | "created": "2020-10-22T20:10:44.306886", | 137 | "created": "2020-10-22T20:10:44.306886", | ||
138 | "description": "Canopy height model of the lidar domain at | 138 | "description": "Canopy height model of the lidar domain at | ||
139 | Laret", | 139 | Laret", | ||
140 | "doi": "", | 140 | "doi": "", | ||
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156 | "size": 2759360, | 156 | "size": 2759360, | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "url": | 158 | "url": | ||
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160 | "url_type": "upload" | 160 | "url_type": "upload" | ||
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165 | "spatial_info": "Switzerland, Finland", | 165 | "spatial_info": "Switzerland, Finland", | ||
166 | "state": "active", | 166 | "state": "active", | ||
167 | "subtitle": "", | 167 | "subtitle": "", | ||
168 | "tags": [ | 168 | "tags": [ | ||
169 | { | 169 | { | ||
170 | "display_name": "ENERGY BALANCE", | 170 | "display_name": "ENERGY BALANCE", | ||
171 | "id": "b1503a80-568e-4f95-b638-7267bc12cc0a", | 171 | "id": "b1503a80-568e-4f95-b638-7267bc12cc0a", | ||
172 | "name": "ENERGY BALANCE", | 172 | "name": "ENERGY BALANCE", | ||
173 | "state": "active", | 173 | "state": "active", | ||
174 | "vocabulary_id": null | 174 | "vocabulary_id": null | ||
175 | }, | 175 | }, | ||
176 | { | 176 | { | ||
177 | "display_name": "FOREST CANOPY", | 177 | "display_name": "FOREST CANOPY", | ||
178 | "id": "e09c7bc3-8d21-4a36-8bd0-0c222dd74e7b", | 178 | "id": "e09c7bc3-8d21-4a36-8bd0-0c222dd74e7b", | ||
179 | "name": "FOREST CANOPY", | 179 | "name": "FOREST CANOPY", | ||
180 | "state": "active", | 180 | "state": "active", | ||
181 | "vocabulary_id": null | 181 | "vocabulary_id": null | ||
182 | }, | 182 | }, | ||
183 | { | 183 | { | ||
184 | "display_name": "MASS BALANCE", | 184 | "display_name": "MASS BALANCE", | ||
185 | "id": "3a7f131c-08f0-430b-874f-1165ac70bbfa", | 185 | "id": "3a7f131c-08f0-430b-874f-1165ac70bbfa", | ||
186 | "name": "MASS BALANCE", | 186 | "name": "MASS BALANCE", | ||
187 | "state": "active", | 187 | "state": "active", | ||
188 | "vocabulary_id": null | 188 | "vocabulary_id": null | ||
189 | }, | 189 | }, | ||
190 | { | 190 | { | ||
191 | "display_name": "SNOW MODELLING", | 191 | "display_name": "SNOW MODELLING", | ||
192 | "id": "ac0cab5d-dbcb-47da-bf2b-412714fd87ec", | 192 | "id": "ac0cab5d-dbcb-47da-bf2b-412714fd87ec", | ||
193 | "name": "SNOW MODELLING", | 193 | "name": "SNOW MODELLING", | ||
194 | "state": "active", | 194 | "state": "active", | ||
195 | "vocabulary_id": null | 195 | "vocabulary_id": null | ||
196 | }, | 196 | }, | ||
197 | { | 197 | { | ||
198 | "display_name": "UPSCALING", | 198 | "display_name": "UPSCALING", | ||
199 | "id": "fd5090a2-303f-4860-8d2e-de26f8f230de", | 199 | "id": "fd5090a2-303f-4860-8d2e-de26f8f230de", | ||
200 | "name": "UPSCALING", | 200 | "name": "UPSCALING", | ||
201 | "state": "active", | 201 | "state": "active", | ||
202 | "vocabulary_id": null | 202 | "vocabulary_id": null | ||
203 | } | 203 | } | ||
204 | ], | 204 | ], | ||
205 | "title": "Forest canopy structure data for radiation and snow | 205 | "title": "Forest canopy structure data for radiation and snow | ||
206 | modelling (CH/FIN)", | 206 | modelling (CH/FIN)", | ||
207 | "type": "dataset", | 207 | "type": "dataset", | ||
208 | "url": null, | 208 | "url": null, | ||
209 | "version": "1.0" | 209 | "version": "1.0" | ||
210 | } | 210 | } |