Changes
On February 22, 2023 at 12:57:04 PM UTC, Christina Salzmann:
-
Set author of Photogrammetric Drone Data Grüenbödeli to [{"affiliation": "SLF", "affiliation_02": "CERC", "affiliation_03": "", "data_credit": ["collection", "validation", "supervision"], "email": "buehler@slf.ch", "given_name": "Yves", "identifier": "0000-0002-0815-2717", "name": "B\u00fchler"}, {"affiliation": "SLF", "affiliation_02": "CERC", "affiliation_03": "", "data_credit": ["collection", "validation"], "email": "stoffel@slf.ch", "given_name": "Andreas", "identifier": "", "name": "Stoffel"}, {"affiliation": "SLF", "affiliation_02": "CERC", "affiliation_03": "", "autocomplete": "", "data_credit": "publication", "email": "christina.salzmann@slf.ch", "given_name": "Christina M.", "identifier": "", "name": "Salzmann"}] (previously [{"affiliation": "SLF", "affiliation_02": "CERC", "affiliation_03": "", "data_credit": ["collection", "validation", "supervision"], "email": "buehler@slf.ch", "given_name": "Yves", "identifier": "0000-0002-0815-2717", "name": "B\u00fchler"}, {"affiliation": "SLF", "affiliation_02": "CERC", "affiliation_03": "", "data_credit": ["collection", "validation"], "email": "stoffel@slf.ch", "given_name": "Andreas", "identifier": "", "name": "Stoffel"}])
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"CERC\", | 2 | "author": "[{\"affiliation\": \"SLF\", \"affiliation_02\": \"CERC\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | 3 | \"affiliation_03\": \"\", \"data_credit\": [\"collection\", | ||
4 | \"validation\", \"supervision\"], \"email\": \"buehler@slf.ch\", | 4 | \"validation\", \"supervision\"], \"email\": \"buehler@slf.ch\", | ||
5 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | 5 | \"given_name\": \"Yves\", \"identifier\": \"0000-0002-0815-2717\", | ||
6 | \"name\": \"B\\u00fchler\"}, {\"affiliation\": \"SLF\", | 6 | \"name\": \"B\\u00fchler\"}, {\"affiliation\": \"SLF\", | ||
7 | \"affiliation_02\": \"CERC\", \"affiliation_03\": \"\", | 7 | \"affiliation_02\": \"CERC\", \"affiliation_03\": \"\", | ||
8 | \"data_credit\": [\"collection\", \"validation\"], \"email\": | 8 | \"data_credit\": [\"collection\", \"validation\"], \"email\": | ||
9 | \"stoffel@slf.ch\", \"given_name\": \"Andreas\", \"identifier\": \"\", | 9 | \"stoffel@slf.ch\", \"given_name\": \"Andreas\", \"identifier\": \"\", | ||
n | 10 | \"name\": \"Stoffel\"}]", | n | 10 | \"name\": \"Stoffel\"}, {\"affiliation\": \"SLF\", \"affiliation_02\": |
11 | \"CERC\", \"affiliation_03\": \"\", \"autocomplete\": \"\", | ||||
12 | \"data_credit\": \"publication\", \"email\": | ||||
13 | \"christina.salzmann@slf.ch\", \"given_name\": \"Christina M.\", | ||||
14 | \"identifier\": \"\", \"name\": \"Salzmann\"}]", | ||||
11 | "author_email": null, | 15 | "author_email": null, | ||
12 | "creator_user_id": "8e43e229-9151-44ff-81bc-4e8d56629194", | 16 | "creator_user_id": "8e43e229-9151-44ff-81bc-4e8d56629194", | ||
13 | "date": "[{\"date\": \"2020-07-09\", \"date_type\": \"collected\", | 17 | "date": "[{\"date\": \"2020-07-09\", \"date_type\": \"collected\", | ||
14 | \"end_date\": \"\"}, {\"date\": \"2020-11-26\", \"date_type\": | 18 | \"end_date\": \"\"}, {\"date\": \"2020-11-26\", \"date_type\": | ||
15 | \"collected\", \"end_date\": \"\"}, {\"date\": \"2020-12-08\", | 19 | \"collected\", \"end_date\": \"\"}, {\"date\": \"2020-12-08\", | ||
16 | \"date_type\": \"collected\", \"end_date\": \"\"}, {\"date\": | 20 | \"date_type\": \"collected\", \"end_date\": \"\"}, {\"date\": | ||
17 | \"2020-12-23\", \"date_type\": \"collected\", \"end_date\": \"\"}, | 21 | \"2020-12-23\", \"date_type\": \"collected\", \"end_date\": \"\"}, | ||
18 | {\"date\": \"2021-01-19\", \"date_type\": \"collected\", \"end_date\": | 22 | {\"date\": \"2021-01-19\", \"date_type\": \"collected\", \"end_date\": | ||
19 | \"\"}, {\"date\": \"2021-03-26\", \"date_type\": \"collected\", | 23 | \"\"}, {\"date\": \"2021-03-26\", \"date_type\": \"collected\", | ||
20 | \"end_date\": \"\"}, {\"date\": \"2021-04-04\", \"date_type\": | 24 | \"end_date\": \"\"}, {\"date\": \"2021-04-04\", \"date_type\": | ||
21 | \"collected\", \"end_date\": \"\"}, {\"date\": \"2021-04-20\", | 25 | \"collected\", \"end_date\": \"\"}, {\"date\": \"2021-04-20\", | ||
22 | \"date_type\": \"collected\", \"end_date\": \"\"}, {\"date\": | 26 | \"date_type\": \"collected\", \"end_date\": \"\"}, {\"date\": | ||
23 | \"2021-10-29\", \"date_type\": \"collected\", \"end_date\": \"\"}, | 27 | \"2021-10-29\", \"date_type\": \"collected\", \"end_date\": \"\"}, | ||
24 | {\"date\": \"2022-01-03\", \"date_type\": \"collected\", \"end_date\": | 28 | {\"date\": \"2022-01-03\", \"date_type\": \"collected\", \"end_date\": | ||
25 | \"\"}, {\"date\": \"2022-02-18\", \"date_type\": \"collected\", | 29 | \"\"}, {\"date\": \"2022-02-18\", \"date_type\": \"collected\", | ||
26 | \"end_date\": \"\"}]", | 30 | \"end_date\": \"\"}]", | ||
27 | "doi": "10.16904/envidat.377", | 31 | "doi": "10.16904/envidat.377", | ||
28 | "extras": [ | 32 | "extras": [ | ||
29 | { | 33 | { | ||
30 | "key": "Coordinate System", | 34 | "key": "Coordinate System", | ||
31 | "value": "CH1903+ / LV95 (Swiss Geoid 2004)" | 35 | "value": "CH1903+ / LV95 (Swiss Geoid 2004)" | ||
32 | }, | 36 | }, | ||
33 | { | 37 | { | ||
34 | "key": "Drone", | 38 | "key": "Drone", | ||
35 | "value": "Wingtra" | 39 | "value": "Wingtra" | ||
36 | }, | 40 | }, | ||
37 | { | 41 | { | ||
38 | "key": "Products", | 42 | "key": "Products", | ||
39 | "value": "DSM, Orthophoto, HS" | 43 | "value": "DSM, Orthophoto, HS" | ||
40 | }, | 44 | }, | ||
41 | { | 45 | { | ||
42 | "key": "Sensor", | 46 | "key": "Sensor", | ||
43 | "value": "Sony RX1R II" | 47 | "value": "Sony RX1R II" | ||
44 | }, | 48 | }, | ||
45 | { | 49 | { | ||
46 | "key": "Sensor Type", | 50 | "key": "Sensor Type", | ||
47 | "value": "RGB" | 51 | "value": "RGB" | ||
48 | }, | 52 | }, | ||
49 | { | 53 | { | ||
50 | "key": "Software", | 54 | "key": "Software", | ||
51 | "value": "Agisoft Metashape " | 55 | "value": "Agisoft Metashape " | ||
52 | } | 56 | } | ||
53 | ], | 57 | ], | ||
54 | "funding": "[{\"grant_number\": \"\", \"institution\": \"SLF\", | 58 | "funding": "[{\"grant_number\": \"\", \"institution\": \"SLF\", | ||
55 | \"institution_url\": \"\"}]", | 59 | \"institution_url\": \"\"}]", | ||
56 | "groups": [], | 60 | "groups": [], | ||
57 | "id": "27e52f92-a8c1-4f64-8bf8-01d37ad6ddaa", | 61 | "id": "27e52f92-a8c1-4f64-8bf8-01d37ad6ddaa", | ||
58 | "isopen": true, | 62 | "isopen": true, | ||
59 | "language": "en", | 63 | "language": "en", | ||
60 | "license_id": "odc-odbl", | 64 | "license_id": "odc-odbl", | ||
61 | "license_title": "ODbL with Database Contents License (DbCL)", | 65 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
62 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 66 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
63 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | 67 | "maintainer": "{\"affiliation\": \"SLF\", \"email\": | ||
64 | \"buehler@slf.ch\", \"given_name\": \"Yves\", \"identifier\": | 68 | \"buehler@slf.ch\", \"given_name\": \"Yves\", \"identifier\": | ||
65 | \"0000-0002-0815-2717\", \"name\": \"B\u00fchler\"}", | 69 | \"0000-0002-0815-2717\", \"name\": \"B\u00fchler\"}", | ||
66 | "maintainer_email": null, | 70 | "maintainer_email": null, | ||
67 | "metadata_created": "2022-11-29T07:27:27.488025", | 71 | "metadata_created": "2022-11-29T07:27:27.488025", | ||
t | 68 | "metadata_modified": "2023-02-16T09:29:05.260696", | t | 72 | "metadata_modified": "2023-02-22T12:57:04.921355", |
69 | "name": "photogrammetric-drone-data-gruenboedeli", | 73 | "name": "photogrammetric-drone-data-gruenboedeli", | ||
70 | "notes": "We conducted various drone flights at | 74 | "notes": "We conducted various drone flights at | ||
71 | Gr\u00fcenb\u00f6deli near Davos with the Sony RX1R II mounted on a | 75 | Gr\u00fcenb\u00f6deli near Davos with the Sony RX1R II mounted on a | ||
72 | Wingtra drone during 2020/21/22. The data was processed with the | 76 | Wingtra drone during 2020/21/22. The data was processed with the | ||
73 | Agisoft Metashape Professional Software. \r\nThe following products | 77 | Agisoft Metashape Professional Software. \r\nThe following products | ||
74 | are available for download: \r\n- DSM 10cm resolution\r\n- Orthomosaic | 78 | are available for download: \r\n- DSM 10cm resolution\r\n- Orthomosaic | ||
75 | 3cm/25mm resolution\r\n- Snow Raster 10cm resolution\r\n- original RGB | 79 | 3cm/25mm resolution\r\n- Snow Raster 10cm resolution\r\n- original RGB | ||
76 | images", | 80 | images", | ||
77 | "num_resources": 1, | 81 | "num_resources": 1, | ||
78 | "num_tags": 7, | 82 | "num_tags": 7, | ||
79 | "organization": { | 83 | "organization": { | ||
80 | "approval_status": "approved", | 84 | "approval_status": "approved", | ||
81 | "created": "2021-10-27T11:11:19.402891", | 85 | "created": "2021-10-27T11:11:19.402891", | ||
82 | "description": "\"__Cutting edge remote sensing research and | 86 | "description": "\"__Cutting edge remote sensing research and | ||
83 | technology for alpine regions__ - We strive to develop, test, combine | 87 | technology for alpine regions__ - We strive to develop, test, combine | ||
84 | and apply innovative solutions to detect, monitor and forecast natural | 88 | and apply innovative solutions to detect, monitor and forecast natural | ||
85 | hazards, aiming at safe mountains in a changing climate.\"\r\nClimate | 89 | hazards, aiming at safe mountains in a changing climate.\"\r\nClimate | ||
86 | change is having an increasing impact on the Alpine region and the | 90 | change is having an increasing impact on the Alpine region and the | ||
87 | potential for natural hazard processes in the high mountains is | 91 | potential for natural hazard processes in the high mountains is | ||
88 | rising. However, it is impossible to predict where extreme events will | 92 | rising. However, it is impossible to predict where extreme events will | ||
89 | occur, and complete protection of settlements and transport routes is | 93 | occur, and complete protection of settlements and transport routes is | ||
90 | technically and economically impossible.\r\n\r\nRemote sensing systems | 94 | technically and economically impossible.\r\n\r\nRemote sensing systems | ||
91 | on the ground, on drones, aircraft or satellites are increasingly | 95 | on the ground, on drones, aircraft or satellites are increasingly | ||
92 | becoming an important tool in natural hazard research. They can be | 96 | becoming an important tool in natural hazard research. They can be | ||
93 | used to accurately document events, continuously record changes, and | 97 | used to accurately document events, continuously record changes, and | ||
94 | identify potential \"hotspots\" at an early stage. The combination of | 98 | identify potential \"hotspots\" at an early stage. The combination of | ||
95 | optical and radar remote sensing systems has great potential to | 99 | optical and radar remote sensing systems has great potential to | ||
96 | increase the level of safety. The center is researching how such | 100 | increase the level of safety. The center is researching how such | ||
97 | systems can be optimally used in the future in high alpine terrain for | 101 | systems can be optimally used in the future in high alpine terrain for | ||
98 | the documentation, detection and prevention of natural | 102 | the documentation, detection and prevention of natural | ||
99 | hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the | 103 | hazards.\r\n\r\nAlpine remote sensing is one of the main topics of the | ||
100 | CERC research centre.", | 104 | CERC research centre.", | ||
101 | "id": "10cde33b-8da7-448a-b627-93e43d326154", | 105 | "id": "10cde33b-8da7-448a-b627-93e43d326154", | ||
102 | "image_url": | 106 | "image_url": | ||
103 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | 107 | s://www.envidat.ch/uploads/group/2016-05-24-141521.837240logoslf.png", | ||
104 | "is_organization": true, | 108 | "is_organization": true, | ||
105 | "name": "alpine-remote-sensing", | 109 | "name": "alpine-remote-sensing", | ||
106 | "state": "active", | 110 | "state": "active", | ||
107 | "title": "Alpine Remote Sensing", | 111 | "title": "Alpine Remote Sensing", | ||
108 | "type": "organization" | 112 | "type": "organization" | ||
109 | }, | 113 | }, | ||
110 | "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", | 114 | "owner_org": "10cde33b-8da7-448a-b627-93e43d326154", | ||
111 | "private": false, | 115 | "private": false, | ||
112 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | 116 | "publication": "{\"publication_year\": \"2022\", \"publisher\": | ||
113 | \"EnviDat\"}", | 117 | \"EnviDat\"}", | ||
114 | "publication_state": "published", | 118 | "publication_state": "published", | ||
115 | "related_datasets": "", | 119 | "related_datasets": "", | ||
116 | "related_publications": "* B\u00fchler, Y., Adams, M. S., | 120 | "related_publications": "* B\u00fchler, Y., Adams, M. S., | ||
117 | B\u00f6sch, R., and Stoffel, A.: Mapping snow depth in alpine terrain | 121 | B\u00f6sch, R., and Stoffel, A.: Mapping snow depth in alpine terrain | ||
118 | with unmanned aerial systems (UASs): potential and limitations, The | 122 | with unmanned aerial systems (UASs): potential and limitations, The | ||
119 | Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, | 123 | Cryosphere, 10, 1075-1088, 10.5194/tc-10-1075-2016, | ||
120 | r\nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A3213\r\n\r\n* | 124 | r\nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A3213\r\n\r\n* | ||
121 | B\u00fchler, Y., Adams, M. S., Stoffel, A., and Boesch, R.: | 125 | B\u00fchler, Y., Adams, M. S., Stoffel, A., and Boesch, R.: | ||
122 | Photogrammetric reconstruction of homogenous snow surfaces in alpine | 126 | Photogrammetric reconstruction of homogenous snow surfaces in alpine | ||
123 | terrain applying near-infrared UAS imagery, International Journal of | 127 | terrain applying near-infrared UAS imagery, International Journal of | ||
124 | Remote Sensing, 8-10, 3135-3158, 10.1080/01431161.2016.1275060, | 128 | Remote Sensing, 8-10, 3135-3158, 10.1080/01431161.2016.1275060, | ||
125 | \nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A12717\r\n\r\n* | 129 | \nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A12717\r\n\r\n* | ||
126 | Eberhard, L. A., Sirguey, P., Miller, A., Marty, M., Schindler, K., | 130 | Eberhard, L. A., Sirguey, P., Miller, A., Marty, M., Schindler, K., | ||
127 | Stoffel, A., and B\u00fchler, Y.: Intercomparison of photogrammetric | 131 | Stoffel, A., and B\u00fchler, Y.: Intercomparison of photogrammetric | ||
128 | platforms for spatially continuous snow depth mapping, The Cryosphere, | 132 | platforms for spatially continuous snow depth mapping, The Cryosphere, | ||
129 | 15, 69-94, 10.5194/tc-15-69-2021, | 133 | 15, 69-94, 10.5194/tc-15-69-2021, | ||
130 | 2021.\r\nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A25856", | 134 | 2021.\r\nhttps://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A25856", | ||
131 | "relationships_as_object": [], | 135 | "relationships_as_object": [], | ||
132 | "relationships_as_subject": [], | 136 | "relationships_as_subject": [], | ||
133 | "resource_type": "dataset", | 137 | "resource_type": "dataset", | ||
134 | "resource_type_general": "dataset", | 138 | "resource_type_general": "dataset", | ||
135 | "resources": [ | 139 | "resources": [ | ||
136 | { | 140 | { | ||
137 | "cache_last_updated": null, | 141 | "cache_last_updated": null, | ||
138 | "cache_url": null, | 142 | "cache_url": null, | ||
139 | "created": "2022-11-29T07:34:04.579079", | 143 | "created": "2022-11-29T07:34:04.579079", | ||
140 | "description": "- ortho (3 cm/25 mm resolution)\r\n- DSM (10 cm | 144 | "description": "- ortho (3 cm/25 mm resolution)\r\n- DSM (10 cm | ||
141 | resolution)\r\n- HS (10 cm resolution)\r\n- RGB images\r\n- Agisoft | 145 | resolution)\r\n- HS (10 cm resolution)\r\n- RGB images\r\n- Agisoft | ||
142 | Metashape Project Report\r\n\r\nAll products are also available as a | 146 | Metashape Project Report\r\n\r\nAll products are also available as a | ||
143 | cloud optimized geotiff.", | 147 | cloud optimized geotiff.", | ||
144 | "doi": "", | 148 | "doi": "", | ||
145 | "format": "TIF", | 149 | "format": "TIF", | ||
146 | "hash": "", | 150 | "hash": "", | ||
147 | "id": "00c40dd4-4242-44b0-8a1e-acd1bccc09b1", | 151 | "id": "00c40dd4-4242-44b0-8a1e-acd1bccc09b1", | ||
148 | "last_modified": "2022-11-29T08:35:34.977002", | 152 | "last_modified": "2022-11-29T08:35:34.977002", | ||
149 | "metadata_modified": "2023-02-15T07:25:20.852631", | 153 | "metadata_modified": "2023-02-15T07:25:20.852631", | ||
150 | "mimetype": null, | 154 | "mimetype": null, | ||
151 | "mimetype_inner": null, | 155 | "mimetype_inner": null, | ||
152 | "name": "Data Access", | 156 | "name": "Data Access", | ||
153 | "package_id": "27e52f92-a8c1-4f64-8bf8-01d37ad6ddaa", | 157 | "package_id": "27e52f92-a8c1-4f64-8bf8-01d37ad6ddaa", | ||
154 | "position": 0, | 158 | "position": 0, | ||
155 | "publication_state": "", | 159 | "publication_state": "", | ||
156 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | 160 | "resource_size": "{\"size_units\": \"gb\", \"size_value\": | ||
157 | \"837\"}", | 161 | \"837\"}", | ||
158 | "resource_type": null, | 162 | "resource_type": null, | ||
159 | "restricted": "{\"allowed_users\": \"\", \"level\": | 163 | "restricted": "{\"allowed_users\": \"\", \"level\": | ||
160 | \"same_organization\", \"shared_secret\": \"\"}", | 164 | \"same_organization\", \"shared_secret\": \"\"}", | ||
161 | "size": 621, | 165 | "size": 621, | ||
162 | "state": "active", | 166 | "state": "active", | ||
163 | "url": | 167 | "url": | ||
164 | =https://s3-zh.os.switch.ch/drone-data/&prefix=Wingtra/Gruenboedeli/", | 168 | =https://s3-zh.os.switch.ch/drone-data/&prefix=Wingtra/Gruenboedeli/", | ||
165 | "url_type": "" | 169 | "url_type": "" | ||
166 | } | 170 | } | ||
167 | ], | 171 | ], | ||
168 | "spatial": | 172 | "spatial": | ||
169 | 41141,46.854251424866895],[9.8847599829446082,46.854534631351846]]]}", | 173 | 41141,46.854251424866895],[9.8847599829446082,46.854534631351846]]]}", | ||
170 | "spatial_info": "Switzerland", | 174 | "spatial_info": "Switzerland", | ||
171 | "state": "active", | 175 | "state": "active", | ||
172 | "subtitle": "", | 176 | "subtitle": "", | ||
173 | "tags": [ | 177 | "tags": [ | ||
174 | { | 178 | { | ||
175 | "display_name": "DRONE DATA", | 179 | "display_name": "DRONE DATA", | ||
176 | "id": "0344d716-920c-4623-88e7-f9828181aa90", | 180 | "id": "0344d716-920c-4623-88e7-f9828181aa90", | ||
177 | "name": "DRONE DATA", | 181 | "name": "DRONE DATA", | ||
178 | "state": "active", | 182 | "state": "active", | ||
179 | "vocabulary_id": null | 183 | "vocabulary_id": null | ||
180 | }, | 184 | }, | ||
181 | { | 185 | { | ||
182 | "display_name": "DSM", | 186 | "display_name": "DSM", | ||
183 | "id": "0f293406-95b3-4653-b81a-5484319667a9", | 187 | "id": "0f293406-95b3-4653-b81a-5484319667a9", | ||
184 | "name": "DSM", | 188 | "name": "DSM", | ||
185 | "state": "active", | 189 | "state": "active", | ||
186 | "vocabulary_id": null | 190 | "vocabulary_id": null | ||
187 | }, | 191 | }, | ||
188 | { | 192 | { | ||
189 | "display_name": "ORTHOPHOTO", | 193 | "display_name": "ORTHOPHOTO", | ||
190 | "id": "7a4f50f0-39cb-463a-ab84-4aca1487ffce", | 194 | "id": "7a4f50f0-39cb-463a-ab84-4aca1487ffce", | ||
191 | "name": "ORTHOPHOTO", | 195 | "name": "ORTHOPHOTO", | ||
192 | "state": "active", | 196 | "state": "active", | ||
193 | "vocabulary_id": null | 197 | "vocabulary_id": null | ||
194 | }, | 198 | }, | ||
195 | { | 199 | { | ||
196 | "display_name": "PHOTOGRAMMETRY", | 200 | "display_name": "PHOTOGRAMMETRY", | ||
197 | "id": "594e1d26-8d11-436d-9540-15987be757ed", | 201 | "id": "594e1d26-8d11-436d-9540-15987be757ed", | ||
198 | "name": "PHOTOGRAMMETRY", | 202 | "name": "PHOTOGRAMMETRY", | ||
199 | "state": "active", | 203 | "state": "active", | ||
200 | "vocabulary_id": null | 204 | "vocabulary_id": null | ||
201 | }, | 205 | }, | ||
202 | { | 206 | { | ||
203 | "display_name": "SNOW DEPTH MAPPING", | 207 | "display_name": "SNOW DEPTH MAPPING", | ||
204 | "id": "d27453a7-4ad4-4702-8848-0992b62303fe", | 208 | "id": "d27453a7-4ad4-4702-8848-0992b62303fe", | ||
205 | "name": "SNOW DEPTH MAPPING", | 209 | "name": "SNOW DEPTH MAPPING", | ||
206 | "state": "active", | 210 | "state": "active", | ||
207 | "vocabulary_id": null | 211 | "vocabulary_id": null | ||
208 | }, | 212 | }, | ||
209 | { | 213 | { | ||
210 | "display_name": "UAV", | 214 | "display_name": "UAV", | ||
211 | "id": "842eeb32-4bb9-43f0-ab14-33e2fab1b282", | 215 | "id": "842eeb32-4bb9-43f0-ab14-33e2fab1b282", | ||
212 | "name": "UAV", | 216 | "name": "UAV", | ||
213 | "state": "active", | 217 | "state": "active", | ||
214 | "vocabulary_id": null | 218 | "vocabulary_id": null | ||
215 | }, | 219 | }, | ||
216 | { | 220 | { | ||
217 | "display_name": "WINGTRA", | 221 | "display_name": "WINGTRA", | ||
218 | "id": "e0cd032a-9f2a-4904-8273-b63b9cd16479", | 222 | "id": "e0cd032a-9f2a-4904-8273-b63b9cd16479", | ||
219 | "name": "WINGTRA", | 223 | "name": "WINGTRA", | ||
220 | "state": "active", | 224 | "state": "active", | ||
221 | "vocabulary_id": null | 225 | "vocabulary_id": null | ||
222 | } | 226 | } | ||
223 | ], | 227 | ], | ||
224 | "title": "Photogrammetric Drone Data Gr\u00fcenb\u00f6deli", | 228 | "title": "Photogrammetric Drone Data Gr\u00fcenb\u00f6deli", | ||
225 | "type": "dataset", | 229 | "type": "dataset", | ||
226 | "url": null, | 230 | "url": null, | ||
227 | "version": "1.0" | 231 | "version": "1.0" | ||
228 | } | 232 | } |