Changes
On November 29, 2024 at 7:44:21 AM UTC, admin:
-
Set author of Gebesee Database for the enhancement of crop monitoring applications: evolution of plant physiology, soil moisture, surface reflectance and atmospheric conditions on the agricultural Gebesee test site (central Germany) in 2016 to Truckenbrodt, Sina C (previously Truckenbrodt Sina C)
f | 1 | { | f | 1 | { |
n | 2 | "author": "Truckenbrodt Sina C", | n | 2 | "author": "Truckenbrodt, Sina C", |
3 | "author_email": "", | 3 | "author_email": "", | ||
n | n | 4 | "citation": [], | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 5 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.1594/PANGAEA.903827", | 6 | "doi": "10.1594/PANGAEA.903827", | ||
6 | "doi_date_published": "2019", | 7 | "doi_date_published": "2019", | ||
7 | "doi_publisher": "", | 8 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 9 | "doi_status": "True", | ||
n | n | 10 | "familyName": "Truckenbrodt", | ||
11 | "givenName": "Sina C", | ||||
9 | "groups": [], | 12 | "groups": [], | ||
10 | "id": "860d56cc-7e38-4d6d-8f87-ac93455ca7ce", | 13 | "id": "860d56cc-7e38-4d6d-8f87-ac93455ca7ce", | ||
11 | "isopen": false, | 14 | "isopen": false, | ||
12 | "license_id": "CC-BY-NC-4.0", | 15 | "license_id": "CC-BY-NC-4.0", | ||
13 | "license_title": "CC-BY-NC-4.0", | 16 | "license_title": "CC-BY-NC-4.0", | ||
14 | "metadata_created": "2023-01-12T13:31:17.475234", | 17 | "metadata_created": "2023-01-12T13:31:17.475234", | ||
n | 15 | "metadata_modified": "2023-08-04T09:33:47.117191", | n | 18 | "metadata_modified": "2024-11-29T07:44:21.760021", |
16 | "name": "png-doi-10-1594-pangaea-903827", | 19 | "name": "png-doi-10-1594-pangaea-903827", | ||
17 | "notes": "Ground reference data are essential for the calibration, | 20 | "notes": "Ground reference data are essential for the calibration, | ||
18 | update and validation of empirically and physically based models as | 21 | update and validation of empirically and physically based models as | ||
19 | well as hybrid methods that facilitate crop monitoring with the help | 22 | well as hybrid methods that facilitate crop monitoring with the help | ||
20 | of Earth Observation data. This database contains in situ measured | 23 | of Earth Observation data. This database contains in situ measured | ||
21 | values from 2016 for various parameters characterizing vegetation, | 24 | values from 2016 for various parameters characterizing vegetation, | ||
22 | soil and atmosphere conditions all of which are required to test and | 25 | soil and atmosphere conditions all of which are required to test and | ||
23 | validate the Earth Observation Land Data Assimilation System | 26 | validate the Earth Observation Land Data Assimilation System | ||
24 | (EO-LDAS). This new database is complementary to another database for | 27 | (EO-LDAS). This new database is complementary to another database for | ||
25 | the growing seasons in 2013 and 2014 that was previously published by | 28 | the growing seasons in 2013 and 2014 that was previously published by | ||
26 | Truckenbrodt & Baade (2017; doi:10.1594/PANGAEA.874251) and has been | 29 | Truckenbrodt & Baade (2017; doi:10.1594/PANGAEA.874251) and has been | ||
27 | described in detail by Truckenbrodt & Schmullius (2018). In 2016, | 30 | described in detail by Truckenbrodt & Schmullius (2018). In 2016, | ||
28 | ground reference data were collected for five crop types (i.e., winter | 31 | ground reference data were collected for five crop types (i.e., winter | ||
29 | barley, winter wheat, spring wheat, potato and sugar beet) grown on | 32 | barley, winter wheat, spring wheat, potato and sugar beet) grown on | ||
30 | the agricultural Gebesee test site (central Germany). Between May and | 33 | the agricultural Gebesee test site (central Germany). Between May and | ||
31 | October, hyperspectral surface reflectance, information on the | 34 | October, hyperspectral surface reflectance, information on the | ||
32 | evolution of biophysical and biochemical plant parameters (like leaf | 35 | evolution of biophysical and biochemical plant parameters (like leaf | ||
33 | area index, biomass and leaf chlorophyll content), phenology, leaf | 36 | area index, biomass and leaf chlorophyll content), phenology, leaf | ||
34 | structure, soil moisture, atmospheric states and illumination | 37 | structure, soil moisture, atmospheric states and illumination | ||
35 | conditions were recorded. The field working days were preferentially | 38 | conditions were recorded. The field working days were preferentially | ||
36 | scheduled for days with expectedly low cloud coverage and close to | 39 | scheduled for days with expectedly low cloud coverage and close to | ||
37 | overflights of Sentinel-2, Landsat 7 and 8. Each crop type was | 40 | overflights of Sentinel-2, Landsat 7 and 8. Each crop type was | ||
38 | investigated on average every 16 days on at least one elementary | 41 | investigated on average every 16 days on at least one elementary | ||
39 | sampling unit (ESU). The data collection for potato and winter wheat | 42 | sampling unit (ESU). The data collection for potato and winter wheat | ||
40 | was complemented with up to two additional ESUs on single field | 43 | was complemented with up to two additional ESUs on single field | ||
41 | working day. All ESUs are designed as a square with a diagonal length | 44 | working day. All ESUs are designed as a square with a diagonal length | ||
42 | of 24 m. On the diagonal from the most southwestern to the most | 45 | of 24 m. On the diagonal from the most southwestern to the most | ||
43 | northeastern corner of the ESU five secondary sampling points (SSPs) | 46 | northeastern corner of the ESU five secondary sampling points (SSPs) | ||
44 | are distributed: at 0 m (SSP00), 8 m (SSP08), 12 m (SSP12), 16 m | 47 | are distributed: at 0 m (SSP00), 8 m (SSP08), 12 m (SSP12), 16 m | ||
45 | (SSP16), and 24 m (SSP24). The corner coordinates were determined with | 48 | (SSP16), and 24 m (SSP24). The corner coordinates were determined with | ||
46 | a differential Global Navigation Satellite System (dGNSS). A set of | 49 | a differential Global Navigation Satellite System (dGNSS). A set of | ||
47 | dGNSS recorded ground control points (GCPs) and check points (CPs) has | 50 | dGNSS recorded ground control points (GCPs) and check points (CPs) has | ||
48 | been provided by Truckenbrodt & Baade (2017; | 51 | been provided by Truckenbrodt & Baade (2017; | ||
49 | doi:10.1594/PANGAEA.874247) and allows for a solid geo-referencing of | 52 | doi:10.1594/PANGAEA.874247) and allows for a solid geo-referencing of | ||
50 | satellite images depicting the agricultural Gebesee test site.", | 53 | satellite images depicting the agricultural Gebesee test site.", | ||
51 | "num_resources": 0, | 54 | "num_resources": 0, | ||
52 | "num_tags": 19, | 55 | "num_tags": 19, | ||
53 | "orcid": "0000-0002-6016-3747", | 56 | "orcid": "0000-0002-6016-3747", | ||
54 | "organization": { | 57 | "organization": { | ||
55 | "approval_status": "approved", | 58 | "approval_status": "approved", | ||
56 | "created": "2023-08-04T09:32:38.098376", | 59 | "created": "2023-08-04T09:32:38.098376", | ||
57 | "description": "PANGAEA (Data Publisher for Earth & Environmental | 60 | "description": "PANGAEA (Data Publisher for Earth & Environmental | ||
58 | Science): The information system PANGAEA is operated as an Open Access | 61 | Science): The information system PANGAEA is operated as an Open Access | ||
59 | library aimed at archiving, publishing and distributing georeferenced | 62 | library aimed at archiving, publishing and distributing georeferenced | ||
60 | data from earth system research. PANGAEA guarantees long-term | 63 | data from earth system research. PANGAEA guarantees long-term | ||
61 | availability (greater than 10 years) of its content. PANGAEA is open | 64 | availability (greater than 10 years) of its content. PANGAEA is open | ||
62 | to any project, institution, or individual scientist to use or to | 65 | to any project, institution, or individual scientist to use or to | ||
63 | archive and publish data. PANGAEA focuses on georeferenced | 66 | archive and publish data. PANGAEA focuses on georeferenced | ||
64 | observational data, experimental data, and models/simulations. | 67 | observational data, experimental data, and models/simulations. | ||
65 | Citability, comprehensive metadata descriptions, interoperability of | 68 | Citability, comprehensive metadata descriptions, interoperability of | ||
66 | data and metadata, a high degree of structural and semantic | 69 | data and metadata, a high degree of structural and semantic | ||
67 | harmonization of the data inventory as well as the commitment of the | 70 | harmonization of the data inventory as well as the commitment of the | ||
68 | hosting institutions ensures FAIRness of archived data.", | 71 | hosting institutions ensures FAIRness of archived data.", | ||
69 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 72 | "id": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
70 | "image_url": "pangea-logo.png", | 73 | "image_url": "pangea-logo.png", | ||
71 | "is_organization": true, | 74 | "is_organization": true, | ||
72 | "name": "pangaea", | 75 | "name": "pangaea", | ||
73 | "state": "active", | 76 | "state": "active", | ||
74 | "title": "PANGAEA (Agriculture)", | 77 | "title": "PANGAEA (Agriculture)", | ||
75 | "type": "organization" | 78 | "type": "organization" | ||
76 | }, | 79 | }, | ||
77 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | 80 | "owner_org": "93da141a-dc26-4ce9-bff3-b2b283505dcc", | ||
78 | "private": false, | 81 | "private": false, | ||
79 | "publication_year": "2019", | 82 | "publication_year": "2019", | ||
80 | "related_identifiers": [ | 83 | "related_identifiers": [ | ||
81 | { | 84 | { | ||
82 | "authors": "Truckenbrodt Sina C,Baade Jussi", | 85 | "authors": "Truckenbrodt Sina C,Baade Jussi", | ||
83 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | 86 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | ||
84 | "identifier": "https://doi.org/10.1594/PANGAEA.874251", | 87 | "identifier": "https://doi.org/10.1594/PANGAEA.874251", | ||
85 | "identifier_type": "DOI", | 88 | "identifier_type": "DOI", | ||
86 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | 89 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | ||
87 | "relation_type": "References", | 90 | "relation_type": "References", | ||
88 | "source": "", | 91 | "source": "", | ||
89 | "title": "Gebesee Database for the enhancement of crop | 92 | "title": "Gebesee Database for the enhancement of crop | ||
90 | monitoring applications: evolution of plant physiology, soil moisture, | 93 | monitoring applications: evolution of plant physiology, soil moisture, | ||
91 | surface reflectance and atmospheric conditions on the agricultural | 94 | surface reflectance and atmospheric conditions on the agricultural | ||
92 | Gebesee test site (central Germany) in 2013 and 2014", | 95 | Gebesee test site (central Germany) in 2013 and 2014", | ||
93 | "year": "2017" | 96 | "year": "2017" | ||
94 | }, | 97 | }, | ||
95 | { | 98 | { | ||
96 | "authors": "Truckenbrodt Sina C,Baade Jussi", | 99 | "authors": "Truckenbrodt Sina C,Baade Jussi", | ||
97 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | 100 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | ||
98 | "identifier": | 101 | "identifier": | ||
99 | blications/Truckenbrodt_2019/Parametererlaeuterung_GebeseeDB2016.pdf", | 102 | blications/Truckenbrodt_2019/Parametererlaeuterung_GebeseeDB2016.pdf", | ||
100 | "identifier_type": "DOI", | 103 | "identifier_type": "DOI", | ||
101 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | 104 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | ||
102 | "relation_type": "References", | 105 | "relation_type": "References", | ||
103 | "source": "", | 106 | "source": "", | ||
104 | "title": "Description of investigated parameters | 107 | "title": "Description of investigated parameters | ||
105 | (GebeseeDB2016)", | 108 | (GebeseeDB2016)", | ||
106 | "year": "" | 109 | "year": "" | ||
107 | }, | 110 | }, | ||
108 | { | 111 | { | ||
109 | "authors": "Truckenbrodt Sina C,Baade Jussi", | 112 | "authors": "Truckenbrodt Sina C,Baade Jussi", | ||
110 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | 113 | "email_authors": "sina.truckenbrodt@uni-jena.de,", | ||
111 | "identifier": | 114 | "identifier": | ||
112 | ea.de/Publications/Truckenbrodt_2019/Metadata_cultivation_fields.pdf", | 115 | ea.de/Publications/Truckenbrodt_2019/Metadata_cultivation_fields.pdf", | ||
113 | "identifier_type": "DOI", | 116 | "identifier_type": "DOI", | ||
114 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | 117 | "orcid_authors": "0000-0002-6016-3747,0000-0001-9878-7232", | ||
115 | "relation_type": "References", | 118 | "relation_type": "References", | ||
116 | "source": "", | 119 | "source": "", | ||
117 | "title": "Metadata on the cultivars and investigated fields | 120 | "title": "Metadata on the cultivars and investigated fields | ||
118 | (GebeseeDB2016)", | 121 | (GebeseeDB2016)", | ||
119 | "year": "" | 122 | "year": "" | ||
120 | } | 123 | } | ||
121 | ], | 124 | ], | ||
122 | "relationships_as_object": [], | 125 | "relationships_as_object": [], | ||
123 | "relationships_as_subject": [], | 126 | "relationships_as_subject": [], | ||
124 | "repository_name": "PANGAEA (Data Publisher for Earth & | 127 | "repository_name": "PANGAEA (Data Publisher for Earth & | ||
125 | Environmental Science)", | 128 | Environmental Science)", | ||
126 | "resource_type": "application/zip - filename: Truckenbrodt_2016", | 129 | "resource_type": "application/zip - filename: Truckenbrodt_2016", | ||
127 | "resources": [], | 130 | "resources": [], | ||
t | 128 | "services_used_list": "", | t | ||
129 | "source_metadata_created": "2019", | 131 | "source_metadata_created": "2019", | ||
130 | "source_metadata_modified": "", | 132 | "source_metadata_modified": "", | ||
131 | "state": "active", | 133 | "state": "active", | ||
132 | "subject_areas": [ | 134 | "subject_areas": [ | ||
133 | { | 135 | { | ||
134 | "subject_area_additional": "", | 136 | "subject_area_additional": "", | ||
135 | "subject_area_name": "Agriculture" | 137 | "subject_area_name": "Agriculture" | ||
136 | }, | 138 | }, | ||
137 | { | 139 | { | ||
138 | "subject_area_additional": "", | 140 | "subject_area_additional": "", | ||
139 | "subject_area_name": "Atmosphere" | 141 | "subject_area_name": "Atmosphere" | ||
140 | }, | 142 | }, | ||
141 | { | 143 | { | ||
142 | "subject_area_additional": "", | 144 | "subject_area_additional": "", | ||
143 | "subject_area_name": "Biosphere" | 145 | "subject_area_name": "Biosphere" | ||
144 | } | 146 | } | ||
145 | ], | 147 | ], | ||
146 | "tags": [ | 148 | "tags": [ | ||
147 | { | 149 | { | ||
148 | "display_name": "Agriculture", | 150 | "display_name": "Agriculture", | ||
149 | "id": "3e9a2d9e-c88a-493a-9d94-c62939ce7d6f", | 151 | "id": "3e9a2d9e-c88a-493a-9d94-c62939ce7d6f", | ||
150 | "name": "Agriculture", | 152 | "name": "Agriculture", | ||
151 | "state": "active", | 153 | "state": "active", | ||
152 | "vocabulary_id": null | 154 | "vocabulary_id": null | ||
153 | }, | 155 | }, | ||
154 | { | 156 | { | ||
155 | "display_name": "Atmosphere", | 157 | "display_name": "Atmosphere", | ||
156 | "id": "ecc41101-d5b4-4253-adb3-c0f41668a6e9", | 158 | "id": "ecc41101-d5b4-4253-adb3-c0f41668a6e9", | ||
157 | "name": "Atmosphere", | 159 | "name": "Atmosphere", | ||
158 | "state": "active", | 160 | "state": "active", | ||
159 | "vocabulary_id": null | 161 | "vocabulary_id": null | ||
160 | }, | 162 | }, | ||
161 | { | 163 | { | ||
162 | "display_name": "Biochemical parameter", | 164 | "display_name": "Biochemical parameter", | ||
163 | "id": "5e1f4d25-4020-46a1-b5f4-40ee38853eac", | 165 | "id": "5e1f4d25-4020-46a1-b5f4-40ee38853eac", | ||
164 | "name": "Biochemical parameter", | 166 | "name": "Biochemical parameter", | ||
165 | "state": "active", | 167 | "state": "active", | ||
166 | "vocabulary_id": null | 168 | "vocabulary_id": null | ||
167 | }, | 169 | }, | ||
168 | { | 170 | { | ||
169 | "display_name": "Biophysical parameter", | 171 | "display_name": "Biophysical parameter", | ||
170 | "id": "3aa14df4-3520-4169-a56d-420941e709e3", | 172 | "id": "3aa14df4-3520-4169-a56d-420941e709e3", | ||
171 | "name": "Biophysical parameter", | 173 | "name": "Biophysical parameter", | ||
172 | "state": "active", | 174 | "state": "active", | ||
173 | "vocabulary_id": null | 175 | "vocabulary_id": null | ||
174 | }, | 176 | }, | ||
175 | { | 177 | { | ||
176 | "display_name": "Biosphere", | 178 | "display_name": "Biosphere", | ||
177 | "id": "36b4074f-7d88-4388-8bd9-85889097d271", | 179 | "id": "36b4074f-7d88-4388-8bd9-85889097d271", | ||
178 | "name": "Biosphere", | 180 | "name": "Biosphere", | ||
179 | "state": "active", | 181 | "state": "active", | ||
180 | "vocabulary_id": null | 182 | "vocabulary_id": null | ||
181 | }, | 183 | }, | ||
182 | { | 184 | { | ||
183 | "display_name": "Cereals", | 185 | "display_name": "Cereals", | ||
184 | "id": "f44be8db-be6f-4393-b9d0-b63789b36043", | 186 | "id": "f44be8db-be6f-4393-b9d0-b63789b36043", | ||
185 | "name": "Cereals", | 187 | "name": "Cereals", | ||
186 | "state": "active", | 188 | "state": "active", | ||
187 | "vocabulary_id": null | 189 | "vocabulary_id": null | ||
188 | }, | 190 | }, | ||
189 | { | 191 | { | ||
190 | "display_name": "Crop", | 192 | "display_name": "Crop", | ||
191 | "id": "12a2014a-5cb2-45be-997f-8ff5f52e5575", | 193 | "id": "12a2014a-5cb2-45be-997f-8ff5f52e5575", | ||
192 | "name": "Crop", | 194 | "name": "Crop", | ||
193 | "state": "active", | 195 | "state": "active", | ||
194 | "vocabulary_id": null | 196 | "vocabulary_id": null | ||
195 | }, | 197 | }, | ||
196 | { | 198 | { | ||
197 | "display_name": "EO-LDAS", | 199 | "display_name": "EO-LDAS", | ||
198 | "id": "ad263f7d-0c5d-49ad-bfac-53bb9fa5649b", | 200 | "id": "ad263f7d-0c5d-49ad-bfac-53bb9fa5649b", | ||
199 | "name": "EO-LDAS", | 201 | "name": "EO-LDAS", | ||
200 | "state": "active", | 202 | "state": "active", | ||
201 | "vocabulary_id": null | 203 | "vocabulary_id": null | ||
202 | }, | 204 | }, | ||
203 | { | 205 | { | ||
204 | "display_name": "Earth observation", | 206 | "display_name": "Earth observation", | ||
205 | "id": "4877e701-558c-4af9-98ba-57ffbfd18ea8", | 207 | "id": "4877e701-558c-4af9-98ba-57ffbfd18ea8", | ||
206 | "name": "Earth observation", | 208 | "name": "Earth observation", | ||
207 | "state": "active", | 209 | "state": "active", | ||
208 | "vocabulary_id": null | 210 | "vocabulary_id": null | ||
209 | }, | 211 | }, | ||
210 | { | 212 | { | ||
211 | "display_name": "Gebesee test site", | 213 | "display_name": "Gebesee test site", | ||
212 | "id": "80e65c49-5ebd-488d-9a84-972acbcefb5e", | 214 | "id": "80e65c49-5ebd-488d-9a84-972acbcefb5e", | ||
213 | "name": "Gebesee test site", | 215 | "name": "Gebesee test site", | ||
214 | "state": "active", | 216 | "state": "active", | ||
215 | "vocabulary_id": null | 217 | "vocabulary_id": null | ||
216 | }, | 218 | }, | ||
217 | { | 219 | { | ||
218 | "display_name": "Hyperspectral data", | 220 | "display_name": "Hyperspectral data", | ||
219 | "id": "0cc9921d-fe4c-4134-9b94-ef34c0057eab", | 221 | "id": "0cc9921d-fe4c-4134-9b94-ef34c0057eab", | ||
220 | "name": "Hyperspectral data", | 222 | "name": "Hyperspectral data", | ||
221 | "state": "active", | 223 | "state": "active", | ||
222 | "vocabulary_id": null | 224 | "vocabulary_id": null | ||
223 | }, | 225 | }, | ||
224 | { | 226 | { | ||
225 | "display_name": "In situ", | 227 | "display_name": "In situ", | ||
226 | "id": "efd25e93-489d-4d42-b33e-c0f937d588a4", | 228 | "id": "efd25e93-489d-4d42-b33e-c0f937d588a4", | ||
227 | "name": "In situ", | 229 | "name": "In situ", | ||
228 | "state": "active", | 230 | "state": "active", | ||
229 | "vocabulary_id": null | 231 | "vocabulary_id": null | ||
230 | }, | 232 | }, | ||
231 | { | 233 | { | ||
232 | "display_name": "Potato", | 234 | "display_name": "Potato", | ||
233 | "id": "e2558f86-f878-47d1-8336-05b74d46fcf2", | 235 | "id": "e2558f86-f878-47d1-8336-05b74d46fcf2", | ||
234 | "name": "Potato", | 236 | "name": "Potato", | ||
235 | "state": "active", | 237 | "state": "active", | ||
236 | "vocabulary_id": null | 238 | "vocabulary_id": null | ||
237 | }, | 239 | }, | ||
238 | { | 240 | { | ||
239 | "display_name": "Soil", | 241 | "display_name": "Soil", | ||
240 | "id": "49c3772a-f9d5-44bb-8762-2f413cf3ccc0", | 242 | "id": "49c3772a-f9d5-44bb-8762-2f413cf3ccc0", | ||
241 | "name": "Soil", | 243 | "name": "Soil", | ||
242 | "state": "active", | 244 | "state": "active", | ||
243 | "vocabulary_id": null | 245 | "vocabulary_id": null | ||
244 | }, | 246 | }, | ||
245 | { | 247 | { | ||
246 | "display_name": "Spring wheat", | 248 | "display_name": "Spring wheat", | ||
247 | "id": "a3e83c23-265e-4cc2-b2ea-a058fa442ef5", | 249 | "id": "a3e83c23-265e-4cc2-b2ea-a058fa442ef5", | ||
248 | "name": "Spring wheat", | 250 | "name": "Spring wheat", | ||
249 | "state": "active", | 251 | "state": "active", | ||
250 | "vocabulary_id": null | 252 | "vocabulary_id": null | ||
251 | }, | 253 | }, | ||
252 | { | 254 | { | ||
253 | "display_name": "Sugar beet", | 255 | "display_name": "Sugar beet", | ||
254 | "id": "f17331ee-2dbf-4c8d-8c9c-6f5577cbfa70", | 256 | "id": "f17331ee-2dbf-4c8d-8c9c-6f5577cbfa70", | ||
255 | "name": "Sugar beet", | 257 | "name": "Sugar beet", | ||
256 | "state": "active", | 258 | "state": "active", | ||
257 | "vocabulary_id": null | 259 | "vocabulary_id": null | ||
258 | }, | 260 | }, | ||
259 | { | 261 | { | ||
260 | "display_name": "Winter barley", | 262 | "display_name": "Winter barley", | ||
261 | "id": "1c33227b-4d1b-4d66-aaff-ae37d205bcb1", | 263 | "id": "1c33227b-4d1b-4d66-aaff-ae37d205bcb1", | ||
262 | "name": "Winter barley", | 264 | "name": "Winter barley", | ||
263 | "state": "active", | 265 | "state": "active", | ||
264 | "vocabulary_id": null | 266 | "vocabulary_id": null | ||
265 | }, | 267 | }, | ||
266 | { | 268 | { | ||
267 | "display_name": "Winter wheat", | 269 | "display_name": "Winter wheat", | ||
268 | "id": "ec9d42ef-7895-4032-96fe-f98df7ac60ce", | 270 | "id": "ec9d42ef-7895-4032-96fe-f98df7ac60ce", | ||
269 | "name": "Winter wheat", | 271 | "name": "Winter wheat", | ||
270 | "state": "active", | 272 | "state": "active", | ||
271 | "vocabulary_id": null | 273 | "vocabulary_id": null | ||
272 | }, | 274 | }, | ||
273 | { | 275 | { | ||
274 | "display_name": "remote sensing", | 276 | "display_name": "remote sensing", | ||
275 | "id": "29f44062-0264-4c36-990e-3843d3611d12", | 277 | "id": "29f44062-0264-4c36-990e-3843d3611d12", | ||
276 | "name": "remote sensing", | 278 | "name": "remote sensing", | ||
277 | "state": "active", | 279 | "state": "active", | ||
278 | "vocabulary_id": null | 280 | "vocabulary_id": null | ||
279 | } | 281 | } | ||
280 | ], | 282 | ], | ||
281 | "title": "Gebesee Database for the enhancement of crop monitoring | 283 | "title": "Gebesee Database for the enhancement of crop monitoring | ||
282 | applications: evolution of plant physiology, soil moisture, surface | 284 | applications: evolution of plant physiology, soil moisture, surface | ||
283 | reflectance and atmospheric conditions on the agricultural Gebesee | 285 | reflectance and atmospheric conditions on the agricultural Gebesee | ||
284 | test site (central Germany) in 2016", | 286 | test site (central Germany) in 2016", | ||
285 | "type": "vdataset", | 287 | "type": "vdataset", | ||
286 | "url": "https://doi.org/10.1594/PANGAEA.903827" | 288 | "url": "https://doi.org/10.1594/PANGAEA.903827" | ||
287 | } | 289 | } |