Changes
On May 6, 2021 at 10:22:44 AM UTC, Administrator:
-
Changed value of field
doi
to10.16904/1000001.7
in Forest Type NFI
f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"Swiss Federal Institute for Forest, | 2 | "author": "[{\"affiliation\": \"Swiss Federal Institute for Forest, | ||
3 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | 3 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | ||
4 | \"affiliation_03\": \"\", \"email\": \"lars.waser@wsl.ch\", | 4 | \"affiliation_03\": \"\", \"email\": \"lars.waser@wsl.ch\", | ||
5 | \"given_name\": \"Lars\", \"identifier\": \"D-5937-2011\", \"name\": | 5 | \"given_name\": \"Lars\", \"identifier\": \"D-5937-2011\", \"name\": | ||
6 | \"Waser\"}, {\"affiliation\": \"Swiss Federal Institute for Forest, | 6 | \"Waser\"}, {\"affiliation\": \"Swiss Federal Institute for Forest, | ||
7 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | 7 | Snow and Landscape Research WSL \", \"affiliation_02\": \"\", | ||
8 | \"affiliation_03\": \"\", \"email\": \"christian.ginzler@wsl.ch\", | 8 | \"affiliation_03\": \"\", \"email\": \"christian.ginzler@wsl.ch\", | ||
9 | \"given_name\": \"Christian\", \"identifier\": \"E-9544-2012\", | 9 | \"given_name\": \"Christian\", \"identifier\": \"E-9544-2012\", | ||
10 | \"name\": \"Ginzler\"}]", | 10 | \"name\": \"Ginzler\"}]", | ||
11 | "author_email": null, | 11 | "author_email": null, | ||
12 | "creator_user_id": "6d44d5cd-9ac6-4100-bc2c-c02034a41b48", | 12 | "creator_user_id": "6d44d5cd-9ac6-4100-bc2c-c02034a41b48", | ||
13 | "date": "[{\"date\": \"2018-03-06\", \"date_type\": \"created\", | 13 | "date": "[{\"date\": \"2018-03-06\", \"date_type\": \"created\", | ||
14 | \"end_date\": \"\"}]", | 14 | \"end_date\": \"\"}]", | ||
n | 15 | "doi": "10.16904/1000001.6", | n | 15 | "doi": "10.16904/1000001.7", |
16 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Federal | 16 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Federal | ||
17 | Office for the Environment (FOEN).\", \"institution_url\": \"\"}]", | 17 | Office for the Environment (FOEN).\", \"institution_url\": \"\"}]", | ||
18 | "groups": [], | 18 | "groups": [], | ||
19 | "id": "82d763fa-123a-4648-b827-0dec02a5efbc", | 19 | "id": "82d763fa-123a-4648-b827-0dec02a5efbc", | ||
20 | "isopen": false, | 20 | "isopen": false, | ||
21 | "language": "en", | 21 | "language": "en", | ||
22 | "license_id": "other-undefined", | 22 | "license_id": "other-undefined", | ||
23 | "license_title": "Other (Specified in the description)", | 23 | "license_title": "Other (Specified in the description)", | ||
24 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | 24 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | ||
25 | Forest, Snow and Landscape Research WSL \", \"email\": | 25 | Forest, Snow and Landscape Research WSL \", \"email\": | ||
26 | \"lars.waser@wsl.ch\", \"given_name\": \"Lars\", \"identifier\": | 26 | \"lars.waser@wsl.ch\", \"given_name\": \"Lars\", \"identifier\": | ||
27 | \"D-5937-2011\", \"name\": \"Waser\"}", | 27 | \"D-5937-2011\", \"name\": \"Waser\"}", | ||
28 | "maintainer_email": null, | 28 | "maintainer_email": null, | ||
29 | "metadata_created": "2018-04-03T10:38:30.545175", | 29 | "metadata_created": "2018-04-03T10:38:30.545175", | ||
t | 30 | "metadata_modified": "2021-05-06T10:22:22.305965", | t | 30 | "metadata_modified": "2021-05-06T10:22:44.856697", |
31 | "name": "forest-type-nfi", | 31 | "name": "forest-type-nfi", | ||
32 | "notes": "This dataset presents an remote sensing based approach for | 32 | "notes": "This dataset presents an remote sensing based approach for | ||
33 | a countrywide mapping of broadleaved and coniferous trees in | 33 | a countrywide mapping of broadleaved and coniferous trees in | ||
34 | Switzerland with a spatial resolution of 3 m x 3 m. The data available | 34 | Switzerland with a spatial resolution of 3 m x 3 m. The data available | ||
35 | is a raster of 25 m x 25 m with the fraction of broadleaf trees. The | 35 | is a raster of 25 m x 25 m with the fraction of broadleaf trees. The | ||
36 | classification approach incorporates a random forest classifier, | 36 | classification approach incorporates a random forest classifier, | ||
37 | explanatory variables from multispectral aerial imagery and a Digital | 37 | explanatory variables from multispectral aerial imagery and a Digital | ||
38 | Terrain Model (DTM) from Airborne Laser Scanning (ALS) data, digitized | 38 | Terrain Model (DTM) from Airborne Laser Scanning (ALS) data, digitized | ||
39 | training polygons and independent validation data from the National | 39 | training polygons and independent validation data from the National | ||
40 | Forest Inventory (NFI). Whereas high model overall accuracies | 40 | Forest Inventory (NFI). Whereas high model overall accuracies | ||
41 | (0.99)\r\nand kappa (0.98) were achieved, the comparison of the tree | 41 | (0.99)\r\nand kappa (0.98) were achieved, the comparison of the tree | ||
42 | type map with independent NFI data revealed significant deviations | 42 | type map with independent NFI data revealed significant deviations | ||
43 | that are related to underestimations of broadleaved trees (median of | 43 | that are related to underestimations of broadleaved trees (median of | ||
44 | 3.17%).", | 44 | 3.17%).", | ||
45 | "num_resources": 4, | 45 | "num_resources": 4, | ||
46 | "num_tags": 5, | 46 | "num_tags": 5, | ||
47 | "organization": { | 47 | "organization": { | ||
48 | "approval_status": "approved", | 48 | "approval_status": "approved", | ||
49 | "created": "2017-04-20T16:51:21.920128", | 49 | "created": "2017-04-20T16:51:21.920128", | ||
50 | "description": "We develop and apply comprehensive and robust | 50 | "description": "We develop and apply comprehensive and robust | ||
51 | methods to extract and classify natural objects from continuous and | 51 | methods to extract and classify natural objects from continuous and | ||
52 | discrete raster datasets. Relevant features are acquired to describe | 52 | discrete raster datasets. Relevant features are acquired to describe | ||
53 | changes in landscape and land resources at different levels using | 53 | changes in landscape and land resources at different levels using | ||
54 | image data. Mathematical-statistical methods are adopted for automatic | 54 | image data. Mathematical-statistical methods are adopted for automatic | ||
55 | detection and description of image objects. Thus we contribute | 55 | detection and description of image objects. Thus we contribute | ||
56 | concepts, methods and data to describe/detect area wide changes and | 56 | concepts, methods and data to describe/detect area wide changes and | ||
57 | processes in the resources of landscape.\r\n\r\n### Tasks and main | 57 | processes in the resources of landscape.\r\n\r\n### Tasks and main | ||
58 | research\r\n\r\n* Development and application of methods to extract | 58 | research\r\n\r\n* Development and application of methods to extract | ||
59 | natural objects from continuous data.\r\n* Development of methods for | 59 | natural objects from continuous data.\r\n* Development of methods for | ||
60 | a comprehensive description of natural and anthropogenetic boundaries | 60 | a comprehensive description of natural and anthropogenetic boundaries | ||
61 | in continuous pattern (e.g. map signatures, vegetation transition, | 61 | in continuous pattern (e.g. map signatures, vegetation transition, | ||
62 | forest borders).\r\n* Development and application of methods to | 62 | forest borders).\r\n* Development and application of methods to | ||
63 | extract 3D-information from remotely sensed data for description of | 63 | extract 3D-information from remotely sensed data for description of | ||
64 | natural structures and changes. The main focus lies on wood and its | 64 | natural structures and changes. The main focus lies on wood and its | ||
65 | embedding/interaction within/with the landscape.\r\n* Conception and | 65 | embedding/interaction within/with the landscape.\r\n* Conception and | ||
66 | development of data acquisition based on high resolution remote | 66 | development of data acquisition based on high resolution remote | ||
67 | sensing data.\r\n* Conception, development and maintenance of the | 67 | sensing data.\r\n* Conception, development and maintenance of the | ||
68 | software interface in area wide data acquisition using airborne remote | 68 | software interface in area wide data acquisition using airborne remote | ||
69 | sensing data.\r\n* Scientific expert advice and support in the fields | 69 | sensing data.\r\n* Scientific expert advice and support in the fields | ||
70 | of photogrammetry and survey at WSL. Maintenance, enhancements and | 70 | of photogrammetry and survey at WSL. Maintenance, enhancements and | ||
71 | future development in these specific fields.\r\n* Adequate | 71 | future development in these specific fields.\r\n* Adequate | ||
72 | presentation of scientific results on national level and in noted | 72 | presentation of scientific results on national level and in noted | ||
73 | international journals and at international | 73 | international journals and at international | ||
74 | congresses/workshops/symposia.\r\n\r\n__Further information__: | 74 | congresses/workshops/symposia.\r\n\r\n__Further information__: | ||
75 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | 75 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | ||
76 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 76 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
77 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | 77 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | ||
78 | "is_organization": true, | 78 | "is_organization": true, | ||
79 | "name": "remote-sensing", | 79 | "name": "remote-sensing", | ||
80 | "state": "active", | 80 | "state": "active", | ||
81 | "title": "Remote Sensing", | 81 | "title": "Remote Sensing", | ||
82 | "type": "organization" | 82 | "type": "organization" | ||
83 | }, | 83 | }, | ||
84 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 84 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
85 | "private": false, | 85 | "private": false, | ||
86 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 86 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
87 | \"National Forest Inventory (NFI)\"}", | 87 | \"National Forest Inventory (NFI)\"}", | ||
88 | "publication_state": "published", | 88 | "publication_state": "published", | ||
89 | "related_datasets": "", | 89 | "related_datasets": "", | ||
90 | "related_publications": "", | 90 | "related_publications": "", | ||
91 | "relationships_as_object": [], | 91 | "relationships_as_object": [], | ||
92 | "relationships_as_subject": [], | 92 | "relationships_as_subject": [], | ||
93 | "resource_type": "dataset", | 93 | "resource_type": "dataset", | ||
94 | "resource_type_general": "dataset", | 94 | "resource_type_general": "dataset", | ||
95 | "resources": [ | 95 | "resources": [ | ||
96 | { | 96 | { | ||
97 | "cache_last_updated": null, | 97 | "cache_last_updated": null, | ||
98 | "cache_url": null, | 98 | "cache_url": null, | ||
99 | "created": "2021-04-23T08:02:00.149511", | 99 | "created": "2021-04-23T08:02:00.149511", | ||
100 | "description": "This dataset presents a remote sensing-based | 100 | "description": "This dataset presents a remote sensing-based | ||
101 | approach for a countrywide mapping of the Dominant Leave Type (DLT) | 101 | approach for a countrywide mapping of the Dominant Leave Type (DLT) | ||
102 | with the two classes broadleaved and coniferous in Switzerland. The | 102 | with the two classes broadleaved and coniferous in Switzerland. The | ||
103 | spatial resolution is 10 m with the fraction of the class broadleaved. | 103 | spatial resolution is 10 m with the fraction of the class broadleaved. | ||
104 | The classification approach incorporates a random forest classifier, | 104 | The classification approach incorporates a random forest classifier, | ||
105 | explanatory variables from freely available Copernicus multispectral | 105 | explanatory variables from freely available Copernicus multispectral | ||
106 | Sentinel-2, multi-temporal Sentinel-1 data and a Digital Terrain Model | 106 | Sentinel-2, multi-temporal Sentinel-1 data and a Digital Terrain Model | ||
107 | (DTM) based on Airborne Laser Scanning (ALS) (SwissAlti3D) data. The | 107 | (DTM) based on Airborne Laser Scanning (ALS) (SwissAlti3D) data. The | ||
108 | models were calibrated using digitized training polygons and | 108 | models were calibrated using digitized training polygons and | ||
109 | independently validated data from the National Forest Inventory (NFI). | 109 | independently validated data from the National Forest Inventory (NFI). | ||
110 | Whereas high model overall accuracies (0.97) and kappa (0.96) were | 110 | Whereas high model overall accuracies (0.97) and kappa (0.96) were | ||
111 | achieved, the comparison of the tree type map with independent NFI | 111 | achieved, the comparison of the tree type map with independent NFI | ||
112 | data revealed deviations in mixed stands.\r\n\r\nData 'Forest Type NFI | 112 | data revealed deviations in mixed stands.\r\n\r\nData 'Forest Type NFI | ||
113 | 2018' available on request (lars.waser@wsl.ch).", | 113 | 2018' available on request (lars.waser@wsl.ch).", | ||
114 | "doi": "10.16904/1000001.6", | 114 | "doi": "10.16904/1000001.6", | ||
115 | "format": "GeoTIFF", | 115 | "format": "GeoTIFF", | ||
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122 | "name": "2018 Forest Type (current)", | 122 | "name": "2018 Forest Type (current)", | ||
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130 | "size": 191049626, | 130 | "size": 191049626, | ||
131 | "state": "active", | 131 | "state": "active", | ||
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134 | "url_type": "upload" | 134 | "url_type": "upload" | ||
135 | }, | 135 | }, | ||
136 | { | 136 | { | ||
137 | "cache_last_updated": null, | 137 | "cache_last_updated": null, | ||
138 | "cache_url": null, | 138 | "cache_url": null, | ||
139 | "created": "2021-03-27T04:57:32.557727", | 139 | "created": "2021-03-27T04:57:32.557727", | ||
140 | "description": "Data 'Forest Type NFI 2016' available on request | 140 | "description": "Data 'Forest Type NFI 2016' available on request | ||
141 | (lars.waser@wsl.ch).", | 141 | (lars.waser@wsl.ch).", | ||
142 | "doi": "10.16904/1000001.3", | 142 | "doi": "10.16904/1000001.3", | ||
143 | "format": "GeoTIFF", | 143 | "format": "GeoTIFF", | ||
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150 | "name": "2016 Forest Type", | 150 | "name": "2016 Forest Type", | ||
151 | "package_id": "82d763fa-123a-4648-b827-0dec02a5efbc", | 151 | "package_id": "82d763fa-123a-4648-b827-0dec02a5efbc", | ||
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158 | "size": 69, | 158 | "size": 69, | ||
159 | "state": "active", | 159 | "state": "active", | ||
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161 | "url_type": "" | 161 | "url_type": "" | ||
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166 | "created": "2018-04-03T10:42:10.760550", | 166 | "created": "2018-04-03T10:42:10.760550", | ||
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175 | "mimetype_inner": null, | 175 | "mimetype_inner": null, | ||
176 | "name": "Wall-to-Wall Tree Type Mapping from Countrywide | 176 | "name": "Wall-to-Wall Tree Type Mapping from Countrywide | ||
177 | Airborne Remote Sensing Surveys", | 177 | Airborne Remote Sensing Surveys", | ||
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185 | "state": "active", | 185 | "state": "active", | ||
186 | "url": | 186 | "url": | ||
187 | "https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:14162", | 187 | "https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:14162", | ||
188 | "url_type": null | 188 | "url_type": null | ||
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210 | "size": 3072776, | 210 | "size": 3072776, | ||
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212 | "url": | 212 | "url": | ||
213 | e4f37-c428-45dc-ba34-f40dd8368769/download/forest_type_thumbnail.jpg", | 213 | e4f37-c428-45dc-ba34-f40dd8368769/download/forest_type_thumbnail.jpg", | ||
214 | "url_type": "upload" | 214 | "url_type": "upload" | ||
215 | } | 215 | } | ||
216 | ], | 216 | ], | ||
217 | "spatial": | 217 | "spatial": | ||
218 | 80838],[10.49203,47.80838],[10.49203,45.81802],[5.95587,45.81802]]]}", | 218 | 80838],[10.49203,47.80838],[10.49203,45.81802],[5.95587,45.81802]]]}", | ||
219 | "spatial_info": "Switzerland", | 219 | "spatial_info": "Switzerland", | ||
220 | "state": "active", | 220 | "state": "active", | ||
221 | "subtitle": "", | 221 | "subtitle": "", | ||
222 | "tags": [ | 222 | "tags": [ | ||
223 | { | 223 | { | ||
224 | "display_name": "FOREST", | 224 | "display_name": "FOREST", | ||
225 | "id": "90cd0d8f-8df0-4b78-ac11-6e38c2a22106", | 225 | "id": "90cd0d8f-8df0-4b78-ac11-6e38c2a22106", | ||
226 | "name": "FOREST", | 226 | "name": "FOREST", | ||
227 | "state": "active", | 227 | "state": "active", | ||
228 | "vocabulary_id": null | 228 | "vocabulary_id": null | ||
229 | }, | 229 | }, | ||
230 | { | 230 | { | ||
231 | "display_name": "FOREST INVENTORY", | 231 | "display_name": "FOREST INVENTORY", | ||
232 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | 232 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | ||
233 | "name": "FOREST INVENTORY", | 233 | "name": "FOREST INVENTORY", | ||
234 | "state": "active", | 234 | "state": "active", | ||
235 | "vocabulary_id": null | 235 | "vocabulary_id": null | ||
236 | }, | 236 | }, | ||
237 | { | 237 | { | ||
238 | "display_name": "FOREST TYPE", | 238 | "display_name": "FOREST TYPE", | ||
239 | "id": "52ad8bb3-8ec8-4e9d-8798-858d7662c3e4", | 239 | "id": "52ad8bb3-8ec8-4e9d-8798-858d7662c3e4", | ||
240 | "name": "FOREST TYPE", | 240 | "name": "FOREST TYPE", | ||
241 | "state": "active", | 241 | "state": "active", | ||
242 | "vocabulary_id": null | 242 | "vocabulary_id": null | ||
243 | }, | 243 | }, | ||
244 | { | 244 | { | ||
245 | "display_name": "NFI", | 245 | "display_name": "NFI", | ||
246 | "id": "0a74eb64-cf7b-42df-b2d4-1a5ad8171458", | 246 | "id": "0a74eb64-cf7b-42df-b2d4-1a5ad8171458", | ||
247 | "name": "NFI", | 247 | "name": "NFI", | ||
248 | "state": "active", | 248 | "state": "active", | ||
249 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
250 | }, | 250 | }, | ||
251 | { | 251 | { | ||
252 | "display_name": "REMOTE SENSING", | 252 | "display_name": "REMOTE SENSING", | ||
253 | "id": "1bc9d51e-2500-44a7-857b-13710a59e4be", | 253 | "id": "1bc9d51e-2500-44a7-857b-13710a59e4be", | ||
254 | "name": "REMOTE SENSING", | 254 | "name": "REMOTE SENSING", | ||
255 | "state": "active", | 255 | "state": "active", | ||
256 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
257 | } | 257 | } | ||
258 | ], | 258 | ], | ||
259 | "title": "Forest Type NFI", | 259 | "title": "Forest Type NFI", | ||
260 | "type": "dataset", | 260 | "type": "dataset", | ||
261 | "url": null, | 261 | "url": null, | ||
262 | "version": "2018 (current)" | 262 | "version": "2018 (current)" | ||
263 | } | 263 | } |