Changes
On May 6, 2021 at 10:18:55 AM UTC, Administrator:
-
Changed value of field
doi
to10.16904/1000001.6
in resource 2018 Forest Type (current) in Forest Type NFI
f | 1 | { | f | 1 | { |
2 | "author": "[{\"name\": \"Waser\", \"affiliation\": \"Swiss Federal | 2 | "author": "[{\"name\": \"Waser\", \"affiliation\": \"Swiss Federal | ||
3 | Institute for Forest, Snow and Landscape Research WSL \", | 3 | Institute for Forest, Snow and Landscape Research WSL \", | ||
4 | \"affiliation_03\": \"\", \"given_name\": \"Lars\", \"identifier\": | 4 | \"affiliation_03\": \"\", \"given_name\": \"Lars\", \"identifier\": | ||
5 | \"D-5937-2011\", \"email\": \"lars.waser@wsl.ch\", \"affiliation_02\": | 5 | \"D-5937-2011\", \"email\": \"lars.waser@wsl.ch\", \"affiliation_02\": | ||
6 | \"\"}, {\"name\": \"Ginzler\", \"affiliation\": \"Swiss Federal | 6 | \"\"}, {\"name\": \"Ginzler\", \"affiliation\": \"Swiss Federal | ||
7 | Institute for Forest, Snow and Landscape Research WSL \", | 7 | Institute for Forest, Snow and Landscape Research WSL \", | ||
8 | \"affiliation_03\": \"\", \"given_name\": \"Christian\", | 8 | \"affiliation_03\": \"\", \"given_name\": \"Christian\", | ||
9 | \"identifier\": \"E-9544-2012\", \"email\": | 9 | \"identifier\": \"E-9544-2012\", \"email\": | ||
10 | \"christian.ginzler@wsl.ch\", \"affiliation_02\": \"\"}]", | 10 | \"christian.ginzler@wsl.ch\", \"affiliation_02\": \"\"}]", | ||
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\": \"\"}]", | ||
15 | "doi": "10.16904/1000001.3", | 15 | "doi": "10.16904/1000001.3", | ||
16 | "extras": [ | 16 | "extras": [ | ||
17 | { | 17 | { | ||
18 | "key": "dora_link", | 18 | "key": "dora_link", | ||
19 | "value": "" | 19 | "value": "" | ||
20 | } | 20 | } | ||
21 | ], | 21 | ], | ||
22 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Federal | 22 | "funding": "[{\"grant_number\": \"\", \"institution\": \"Federal | ||
23 | Office for the Environment (FOEN).\", \"institution_url\": \"\"}]", | 23 | Office for the Environment (FOEN).\", \"institution_url\": \"\"}]", | ||
24 | "groups": [], | 24 | "groups": [], | ||
25 | "id": "82d763fa-123a-4648-b827-0dec02a5efbc", | 25 | "id": "82d763fa-123a-4648-b827-0dec02a5efbc", | ||
26 | "isopen": false, | 26 | "isopen": false, | ||
27 | "language": "en", | 27 | "language": "en", | ||
28 | "license_id": "other-undefined", | 28 | "license_id": "other-undefined", | ||
29 | "license_title": "Other (Specified in the description)", | 29 | "license_title": "Other (Specified in the description)", | ||
30 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | 30 | "maintainer": "{\"affiliation\": \"Swiss Federal Institute for | ||
31 | Forest, Snow and Landscape Research WSL \", \"identifier\": | 31 | Forest, Snow and Landscape Research WSL \", \"identifier\": | ||
32 | \"D-5937-2011\", \"given_name\": \"Lars\", \"email\": | 32 | \"D-5937-2011\", \"given_name\": \"Lars\", \"email\": | ||
33 | \"lars.waser@wsl.ch\", \"name\": \"Waser\"}", | 33 | \"lars.waser@wsl.ch\", \"name\": \"Waser\"}", | ||
34 | "maintainer_email": null, | 34 | "maintainer_email": null, | ||
35 | "metadata_created": "2018-04-03T10:38:30.545175", | 35 | "metadata_created": "2018-04-03T10:38:30.545175", | ||
n | 36 | "metadata_modified": "2021-05-06T10:18:26.035201", | n | 36 | "metadata_modified": "2021-05-06T10:18:55.078193", |
37 | "name": "forest-type-nfi", | 37 | "name": "forest-type-nfi", | ||
38 | "notes": "This dataset presents an remote sensing based approach for | 38 | "notes": "This dataset presents an remote sensing based approach for | ||
39 | a countrywide mapping of broadleaved and coniferous trees in | 39 | a countrywide mapping of broadleaved and coniferous trees in | ||
40 | Switzerland with a spatial resolution of 3 m x 3 m. The data available | 40 | Switzerland with a spatial resolution of 3 m x 3 m. The data available | ||
41 | is a raster of 25 m x 25 m with the fraction of broadleaf trees. The | 41 | is a raster of 25 m x 25 m with the fraction of broadleaf trees. The | ||
42 | classification approach incorporates a random forest classifier, | 42 | classification approach incorporates a random forest classifier, | ||
43 | explanatory variables from multispectral aerial imagery and a Digital | 43 | explanatory variables from multispectral aerial imagery and a Digital | ||
44 | Terrain Model (DTM) from Airborne Laser Scanning (ALS) data, digitized | 44 | Terrain Model (DTM) from Airborne Laser Scanning (ALS) data, digitized | ||
45 | training polygons and independent validation data from the National | 45 | training polygons and independent validation data from the National | ||
46 | Forest Inventory (NFI). Whereas high model overall accuracies | 46 | Forest Inventory (NFI). Whereas high model overall accuracies | ||
47 | (0.99)\r\nand kappa (0.98) were achieved, the comparison of the tree | 47 | (0.99)\r\nand kappa (0.98) were achieved, the comparison of the tree | ||
48 | type map with independent NFI data revealed significant deviations | 48 | type map with independent NFI data revealed significant deviations | ||
49 | that are related to underestimations of broadleaved trees (median of | 49 | that are related to underestimations of broadleaved trees (median of | ||
50 | 3.17%).", | 50 | 3.17%).", | ||
51 | "num_resources": 4, | 51 | "num_resources": 4, | ||
52 | "num_tags": 5, | 52 | "num_tags": 5, | ||
53 | "organization": { | 53 | "organization": { | ||
54 | "approval_status": "approved", | 54 | "approval_status": "approved", | ||
55 | "created": "2017-04-20T16:51:21.920128", | 55 | "created": "2017-04-20T16:51:21.920128", | ||
56 | "description": "We develop and apply comprehensive and robust | 56 | "description": "We develop and apply comprehensive and robust | ||
57 | methods to extract and classify natural objects from continuous and | 57 | methods to extract and classify natural objects from continuous and | ||
58 | discrete raster datasets. Relevant features are acquired to describe | 58 | discrete raster datasets. Relevant features are acquired to describe | ||
59 | changes in landscape and land resources at different levels using | 59 | changes in landscape and land resources at different levels using | ||
60 | image data. Mathematical-statistical methods are adopted for automatic | 60 | image data. Mathematical-statistical methods are adopted for automatic | ||
61 | detection and description of image objects. Thus we contribute | 61 | detection and description of image objects. Thus we contribute | ||
62 | concepts, methods and data to describe/detect area wide changes and | 62 | concepts, methods and data to describe/detect area wide changes and | ||
63 | processes in the resources of landscape.\r\n\r\n### Tasks and main | 63 | processes in the resources of landscape.\r\n\r\n### Tasks and main | ||
64 | research\r\n\r\n* Development and application of methods to extract | 64 | research\r\n\r\n* Development and application of methods to extract | ||
65 | natural objects from continuous data.\r\n* Development of methods for | 65 | natural objects from continuous data.\r\n* Development of methods for | ||
66 | a comprehensive description of natural and anthropogenetic boundaries | 66 | a comprehensive description of natural and anthropogenetic boundaries | ||
67 | in continuous pattern (e.g. map signatures, vegetation transition, | 67 | in continuous pattern (e.g. map signatures, vegetation transition, | ||
68 | forest borders).\r\n* Development and application of methods to | 68 | forest borders).\r\n* Development and application of methods to | ||
69 | extract 3D-information from remotely sensed data for description of | 69 | extract 3D-information from remotely sensed data for description of | ||
70 | natural structures and changes. The main focus lies on wood and its | 70 | natural structures and changes. The main focus lies on wood and its | ||
71 | embedding/interaction within/with the landscape.\r\n* Conception and | 71 | embedding/interaction within/with the landscape.\r\n* Conception and | ||
72 | development of data acquisition based on high resolution remote | 72 | development of data acquisition based on high resolution remote | ||
73 | sensing data.\r\n* Conception, development and maintenance of the | 73 | sensing data.\r\n* Conception, development and maintenance of the | ||
74 | software interface in area wide data acquisition using airborne remote | 74 | software interface in area wide data acquisition using airborne remote | ||
75 | sensing data.\r\n* Scientific expert advice and support in the fields | 75 | sensing data.\r\n* Scientific expert advice and support in the fields | ||
76 | of photogrammetry and survey at WSL. Maintenance, enhancements and | 76 | of photogrammetry and survey at WSL. Maintenance, enhancements and | ||
77 | future development in these specific fields.\r\n* Adequate | 77 | future development in these specific fields.\r\n* Adequate | ||
78 | presentation of scientific results on national level and in noted | 78 | presentation of scientific results on national level and in noted | ||
79 | international journals and at international | 79 | international journals and at international | ||
80 | congresses/workshops/symposia.\r\n\r\n__Further information__: | 80 | congresses/workshops/symposia.\r\n\r\n__Further information__: | ||
81 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | 81 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | ||
82 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 82 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
83 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | 83 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | ||
84 | "is_organization": true, | 84 | "is_organization": true, | ||
85 | "name": "remote-sensing", | 85 | "name": "remote-sensing", | ||
86 | "state": "active", | 86 | "state": "active", | ||
87 | "title": "Remote Sensing", | 87 | "title": "Remote Sensing", | ||
88 | "type": "organization" | 88 | "type": "organization" | ||
89 | }, | 89 | }, | ||
90 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 90 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
91 | "private": false, | 91 | "private": false, | ||
92 | "publication": "{\"publisher\": \"National Forest Inventory (NFI)\", | 92 | "publication": "{\"publisher\": \"National Forest Inventory (NFI)\", | ||
93 | \"publication_year\": \"2018\"}", | 93 | \"publication_year\": \"2018\"}", | ||
94 | "publication_state": "published", | 94 | "publication_state": "published", | ||
95 | "related_publications": "", | 95 | "related_publications": "", | ||
96 | "relationships_as_object": [], | 96 | "relationships_as_object": [], | ||
97 | "relationships_as_subject": [], | 97 | "relationships_as_subject": [], | ||
98 | "resource_type": "dataset", | 98 | "resource_type": "dataset", | ||
99 | "resource_type_general": "dataset", | 99 | "resource_type_general": "dataset", | ||
100 | "resources": [ | 100 | "resources": [ | ||
101 | { | 101 | { | ||
102 | "cache_last_updated": null, | 102 | "cache_last_updated": null, | ||
103 | "cache_url": null, | 103 | "cache_url": null, | ||
104 | "created": "2021-04-23T08:02:00.149511", | 104 | "created": "2021-04-23T08:02:00.149511", | ||
105 | "description": "This dataset presents a remote sensing-based | 105 | "description": "This dataset presents a remote sensing-based | ||
106 | approach for a countrywide mapping of the Dominant Leave Type (DLT) | 106 | approach for a countrywide mapping of the Dominant Leave Type (DLT) | ||
107 | with the two classes broadleaved and coniferous in Switzerland. The | 107 | with the two classes broadleaved and coniferous in Switzerland. The | ||
108 | spatial resolution is 10 m with the fraction of the class broadleaved. | 108 | spatial resolution is 10 m with the fraction of the class broadleaved. | ||
109 | The classification approach incorporates a random forest classifier, | 109 | The classification approach incorporates a random forest classifier, | ||
110 | explanatory variables from freely available Copernicus multispectral | 110 | explanatory variables from freely available Copernicus multispectral | ||
111 | Sentinel-2, multi-temporal Sentinel-1 data and a Digital Terrain Model | 111 | Sentinel-2, multi-temporal Sentinel-1 data and a Digital Terrain Model | ||
112 | (DTM) based on Airborne Laser Scanning (ALS) (SwissAlti3D) data. The | 112 | (DTM) based on Airborne Laser Scanning (ALS) (SwissAlti3D) data. The | ||
113 | models were calibrated using digitized training polygons and | 113 | models were calibrated using digitized training polygons and | ||
114 | independently validated data from the National Forest Inventory (NFI). | 114 | independently validated data from the National Forest Inventory (NFI). | ||
115 | Whereas high model overall accuracies (0.97) and kappa (0.96) were | 115 | Whereas high model overall accuracies (0.97) and kappa (0.96) were | ||
116 | achieved, the comparison of the tree type map with independent NFI | 116 | achieved, the comparison of the tree type map with independent NFI | ||
117 | data revealed deviations in mixed stands.\r\n\r\nData 'Forest Type NFI | 117 | data revealed deviations in mixed stands.\r\n\r\nData 'Forest Type NFI | ||
118 | 2018' available on request (lars.waser@wsl.ch).", | 118 | 2018' available on request (lars.waser@wsl.ch).", | ||
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144 | "created": "2021-03-27T04:57:32.557727", | 144 | "created": "2021-03-27T04:57:32.557727", | ||
145 | "description": "Data 'Forest Type NFI 2016' available on request | 145 | "description": "Data 'Forest Type NFI 2016' available on request | ||
146 | (lars.waser@wsl.ch).", | 146 | (lars.waser@wsl.ch).", | ||
147 | "doi": "10.16904/1000001.3", | 147 | "doi": "10.16904/1000001.3", | ||
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171 | "created": "2018-04-03T10:42:10.760550", | 171 | "created": "2018-04-03T10:42:10.760550", | ||
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181 | "name": "Wall-to-Wall Tree Type Mapping from Countrywide | 181 | "name": "Wall-to-Wall Tree Type Mapping from Countrywide | ||
182 | Airborne Remote Sensing Surveys", | 182 | Airborne Remote Sensing Surveys", | ||
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191 | "url": | 191 | "url": | ||
192 | "https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:14162", | 192 | "https://www.dora.lib4ri.ch/wsl/islandora/object/wsl:14162", | ||
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221 | ], | 221 | ], | ||
222 | "spatial": | 222 | "spatial": | ||
223 | 80838],[10.49203,47.80838],[10.49203,45.81802],[5.95587,45.81802]]]}", | 223 | 80838],[10.49203,47.80838],[10.49203,45.81802],[5.95587,45.81802]]]}", | ||
224 | "spatial_info": "Switzerland", | 224 | "spatial_info": "Switzerland", | ||
225 | "state": "active", | 225 | "state": "active", | ||
226 | "subtitle": "", | 226 | "subtitle": "", | ||
227 | "tags": [ | 227 | "tags": [ | ||
228 | { | 228 | { | ||
229 | "display_name": "FOREST", | 229 | "display_name": "FOREST", | ||
230 | "id": "90cd0d8f-8df0-4b78-ac11-6e38c2a22106", | 230 | "id": "90cd0d8f-8df0-4b78-ac11-6e38c2a22106", | ||
231 | "name": "FOREST", | 231 | "name": "FOREST", | ||
232 | "state": "active", | 232 | "state": "active", | ||
233 | "vocabulary_id": null | 233 | "vocabulary_id": null | ||
234 | }, | 234 | }, | ||
235 | { | 235 | { | ||
236 | "display_name": "FOREST INVENTORY", | 236 | "display_name": "FOREST INVENTORY", | ||
237 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | 237 | "id": "d1b2883f-be82-426b-8a5e-fd6d36bc2855", | ||
238 | "name": "FOREST INVENTORY", | 238 | "name": "FOREST INVENTORY", | ||
239 | "state": "active", | 239 | "state": "active", | ||
240 | "vocabulary_id": null | 240 | "vocabulary_id": null | ||
241 | }, | 241 | }, | ||
242 | { | 242 | { | ||
243 | "display_name": "FOREST TYPE", | 243 | "display_name": "FOREST TYPE", | ||
244 | "id": "52ad8bb3-8ec8-4e9d-8798-858d7662c3e4", | 244 | "id": "52ad8bb3-8ec8-4e9d-8798-858d7662c3e4", | ||
245 | "name": "FOREST TYPE", | 245 | "name": "FOREST TYPE", | ||
246 | "state": "active", | 246 | "state": "active", | ||
247 | "vocabulary_id": null | 247 | "vocabulary_id": null | ||
248 | }, | 248 | }, | ||
249 | { | 249 | { | ||
250 | "display_name": "NFI", | 250 | "display_name": "NFI", | ||
251 | "id": "0a74eb64-cf7b-42df-b2d4-1a5ad8171458", | 251 | "id": "0a74eb64-cf7b-42df-b2d4-1a5ad8171458", | ||
252 | "name": "NFI", | 252 | "name": "NFI", | ||
253 | "state": "active", | 253 | "state": "active", | ||
254 | "vocabulary_id": null | 254 | "vocabulary_id": null | ||
255 | }, | 255 | }, | ||
256 | { | 256 | { | ||
257 | "display_name": "REMOTE SENSING", | 257 | "display_name": "REMOTE SENSING", | ||
258 | "id": "1bc9d51e-2500-44a7-857b-13710a59e4be", | 258 | "id": "1bc9d51e-2500-44a7-857b-13710a59e4be", | ||
259 | "name": "REMOTE SENSING", | 259 | "name": "REMOTE SENSING", | ||
260 | "state": "active", | 260 | "state": "active", | ||
261 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
262 | } | 262 | } | ||
263 | ], | 263 | ], | ||
264 | "title": "Forest Type NFI", | 264 | "title": "Forest Type NFI", | ||
265 | "type": "dataset", | 265 | "type": "dataset", | ||
266 | "url": null, | 266 | "url": null, | ||
267 | "version": "2016 (current)" | 267 | "version": "2016 (current)" | ||
268 | } | 268 | } |