Changes
On March 29, 2021 at 10:27:29 AM UTC,
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f | 1 | { | f | 1 | { |
2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 2 | "author": "[{\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
3 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | 3 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | ||
4 | \"robert.pazur@wsl.ch\", \"given_name\": \"Robert\", \"identifier\": | 4 | \"robert.pazur@wsl.ch\", \"given_name\": \"Robert\", \"identifier\": | ||
5 | \"0000-0002-9600-7420\", \"name\": \"Paz\\u00far\"}, {\"affiliation\": | 5 | \"0000-0002-9600-7420\", \"name\": \"Paz\\u00far\"}, {\"affiliation\": | ||
6 | \"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | 6 | \"WSL\", \"affiliation_02\": \"\", \"affiliation_03\": \"\", | ||
7 | \"data_credit\": \"collection\", \"email\": \"nica.huber@wsl.ch\", | 7 | \"data_credit\": \"collection\", \"email\": \"nica.huber@wsl.ch\", | ||
8 | \"given_name\": \"Nica\", \"identifier\": \"0000-0001-5427-6836\", | 8 | \"given_name\": \"Nica\", \"identifier\": \"0000-0001-5427-6836\", | ||
9 | \"name\": \"Huber\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": | 9 | \"name\": \"Huber\"}, {\"affiliation\": \"WSL\", \"affiliation_02\": | ||
10 | \"\", \"affiliation_03\": \"\", \"data_credit\": \"collection\", | 10 | \"\", \"affiliation_03\": \"\", \"data_credit\": \"collection\", | ||
11 | \"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | 11 | \"email\": \"dominique.weber@wsl.ch\", \"given_name\": \"Dominique\", | ||
12 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, | 12 | \"identifier\": \"0000-0002-0402-9682\", \"name\": \"Weber\"}, | ||
13 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 13 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
14 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | 14 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | ||
15 | \"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", | 15 | \"christian.ginzler@wsl.ch\", \"given_name\": \"Christian\", | ||
16 | \"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, | 16 | \"identifier\": \"0000-0001-6365-2151\", \"name\": \"Ginzler\"}, | ||
17 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | 17 | {\"affiliation\": \"WSL\", \"affiliation_02\": \"\", | ||
18 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | 18 | \"affiliation_03\": \"\", \"data_credit\": \"collection\", \"email\": | ||
19 | \"bronwyn.price@wsl.ch\", \"given_name\": \"Bronwyn\", \"identifier\": | 19 | \"bronwyn.price@wsl.ch\", \"given_name\": \"Bronwyn\", \"identifier\": | ||
20 | \"0000-0003-3555-2588\", \"name\": \"Price\"}]", | 20 | \"0000-0003-3555-2588\", \"name\": \"Price\"}]", | ||
21 | "author_email": null, | 21 | "author_email": null, | ||
22 | "creator_user_id": "952d204e-0c2b-43a5-bacc-681a2d4088e4", | 22 | "creator_user_id": "952d204e-0c2b-43a5-bacc-681a2d4088e4", | ||
23 | "date": "[{\"date\": \"2021-01-18\", \"date_type\": \"created\", | 23 | "date": "[{\"date\": \"2021-01-18\", \"date_type\": \"created\", | ||
24 | \"end_date\": \"\"}]", | 24 | \"end_date\": \"\"}]", | ||
25 | "doi": "10.16904/envidat.205", | 25 | "doi": "10.16904/envidat.205", | ||
26 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | 26 | "funding": "[{\"grant_number\": \"\", \"institution\": \"WSL\", | ||
27 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | 27 | \"institution_url\": \"\"}, {\"grant_number\": \"\", \"institution\": | ||
28 | \"FOEN /BAFU\", \"institution_url\": \"\"}]", | 28 | \"FOEN /BAFU\", \"institution_url\": \"\"}]", | ||
29 | "groups": [], | 29 | "groups": [], | ||
30 | "id": "00ff9ac3-c96b-4cb5-a300-b205ad9698cc", | 30 | "id": "00ff9ac3-c96b-4cb5-a300-b205ad9698cc", | ||
31 | "isopen": true, | 31 | "isopen": true, | ||
32 | "language": "en", | 32 | "language": "en", | ||
33 | "license_id": "odc-odbl", | 33 | "license_id": "odc-odbl", | ||
34 | "license_title": "ODbL with Database Contents License (DbCL)", | 34 | "license_title": "ODbL with Database Contents License (DbCL)", | ||
35 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | 35 | "license_url": "https://opendefinition.org/licenses/odc-odbl", | ||
36 | "maintainer": "{\"affiliation\": \"Swiss Federal Research Institute | 36 | "maintainer": "{\"affiliation\": \"Swiss Federal Research Institute | ||
37 | WSL\", \"email\": \"robert.pazur@wsl.ch\", \"given_name\": \"Robert\", | 37 | WSL\", \"email\": \"robert.pazur@wsl.ch\", \"given_name\": \"Robert\", | ||
38 | \"identifier\": \"0000-0002-9600-7420\", \"name\": \"Paz\u00far\"}", | 38 | \"identifier\": \"0000-0002-9600-7420\", \"name\": \"Paz\u00far\"}", | ||
39 | "maintainer_email": null, | 39 | "maintainer_email": null, | ||
40 | "metadata_created": "2021-01-23T17:12:00.238656", | 40 | "metadata_created": "2021-01-23T17:12:00.238656", | ||
n | 41 | "metadata_modified": "2021-03-29T10:26:15.884261", | n | 41 | "metadata_modified": "2021-03-29T10:27:29.765530", |
42 | "name": | 42 | "name": | ||
43 | "cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data", | 43 | "cropland-and-grassland-map-of-switzerland-based-on-sentinel-2-data", | ||
44 | "notes": "We developed a map of cropland and grassland allocation | 44 | "notes": "We developed a map of cropland and grassland allocation | ||
45 | for Switzerland based on several indices dominantly derived from | 45 | for Switzerland based on several indices dominantly derived from | ||
46 | Sentinel-2 satellite imagery captured over multiple growing seasons. | 46 | Sentinel-2 satellite imagery captured over multiple growing seasons. | ||
47 | The classification model was trained based on parcel-based data | 47 | The classification model was trained based on parcel-based data | ||
48 | derived from landholder reporting. The mapping was conducted on Google | 48 | derived from landholder reporting. The mapping was conducted on Google | ||
49 | Earth Engine platform using random forest classifier. Areas of high | 49 | Earth Engine platform using random forest classifier. Areas of high | ||
50 | vegetation, shrubland, sealed surface and non-vegetated areas were | 50 | vegetation, shrubland, sealed surface and non-vegetated areas were | ||
51 | masked out from the country-wide map. The resulting map has high | 51 | masked out from the country-wide map. The resulting map has high | ||
52 | accuracy in lowlands as well as mountainous areas. \r\n", | 52 | accuracy in lowlands as well as mountainous areas. \r\n", | ||
53 | "num_resources": 10, | 53 | "num_resources": 10, | ||
54 | "num_tags": 10, | 54 | "num_tags": 10, | ||
55 | "organization": { | 55 | "organization": { | ||
56 | "approval_status": "approved", | 56 | "approval_status": "approved", | ||
57 | "created": "2017-04-20T16:51:21.920128", | 57 | "created": "2017-04-20T16:51:21.920128", | ||
58 | "description": "We develop and apply comprehensive and robust | 58 | "description": "We develop and apply comprehensive and robust | ||
59 | methods to extract and classify natural objects from continuous and | 59 | methods to extract and classify natural objects from continuous and | ||
60 | discrete raster datasets. Relevant features are acquired to describe | 60 | discrete raster datasets. Relevant features are acquired to describe | ||
61 | changes in landscape and land resources at different levels using | 61 | changes in landscape and land resources at different levels using | ||
62 | image data. Mathematical-statistical methods are adopted for automatic | 62 | image data. Mathematical-statistical methods are adopted for automatic | ||
63 | detection and description of image objects. Thus we contribute | 63 | detection and description of image objects. Thus we contribute | ||
64 | concepts, methods and data to describe/detect area wide changes and | 64 | concepts, methods and data to describe/detect area wide changes and | ||
65 | processes in the resources of landscape.\r\n\r\n### Tasks and main | 65 | processes in the resources of landscape.\r\n\r\n### Tasks and main | ||
66 | research\r\n\r\n* Development and application of methods to extract | 66 | research\r\n\r\n* Development and application of methods to extract | ||
67 | natural objects from continuous data.\r\n* Development of methods for | 67 | natural objects from continuous data.\r\n* Development of methods for | ||
68 | a comprehensive description of natural and anthropogenetic boundaries | 68 | a comprehensive description of natural and anthropogenetic boundaries | ||
69 | in continuous pattern (e.g. map signatures, vegetation transition, | 69 | in continuous pattern (e.g. map signatures, vegetation transition, | ||
70 | forest borders).\r\n* Development and application of methods to | 70 | forest borders).\r\n* Development and application of methods to | ||
71 | extract 3D-information from remotely sensed data for description of | 71 | extract 3D-information from remotely sensed data for description of | ||
72 | natural structures and changes. The main focus lies on wood and its | 72 | natural structures and changes. The main focus lies on wood and its | ||
73 | embedding/interaction within/with the landscape.\r\n* Conception and | 73 | embedding/interaction within/with the landscape.\r\n* Conception and | ||
74 | development of data acquisition based on high resolution remote | 74 | development of data acquisition based on high resolution remote | ||
75 | sensing data.\r\n* Conception, development and maintenance of the | 75 | sensing data.\r\n* Conception, development and maintenance of the | ||
76 | software interface in area wide data acquisition using airborne remote | 76 | software interface in area wide data acquisition using airborne remote | ||
77 | sensing data.\r\n* Scientific expert advice and support in the fields | 77 | sensing data.\r\n* Scientific expert advice and support in the fields | ||
78 | of photogrammetry and survey at WSL. Maintenance, enhancements and | 78 | of photogrammetry and survey at WSL. Maintenance, enhancements and | ||
79 | future development in these specific fields.\r\n* Adequate | 79 | future development in these specific fields.\r\n* Adequate | ||
80 | presentation of scientific results on national level and in noted | 80 | presentation of scientific results on national level and in noted | ||
81 | international journals and at international | 81 | international journals and at international | ||
82 | congresses/workshops/symposia.\r\n\r\n__Further information__: | 82 | congresses/workshops/symposia.\r\n\r\n__Further information__: | ||
83 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | 83 | l/organization/research-units/landscape-dynamics/remote-sensing.html", | ||
84 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 84 | "id": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
85 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | 85 | "image_url": "2018-07-10-102816.481589LogoWSL.svg", | ||
86 | "is_organization": true, | 86 | "is_organization": true, | ||
87 | "name": "remote-sensing", | 87 | "name": "remote-sensing", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "title": "Remote Sensing", | 89 | "title": "Remote Sensing", | ||
90 | "type": "organization" | 90 | "type": "organization" | ||
91 | }, | 91 | }, | ||
92 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | 92 | "owner_org": "5243fbb4-e4e6-4779-9672-32a7ef33d5f9", | ||
93 | "private": false, | 93 | "private": false, | ||
94 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | 94 | "publication": "{\"publication_year\": \"2021\", \"publisher\": | ||
95 | \"EnviDat\"}", | 95 | \"EnviDat\"}", | ||
96 | "publication_state": "published", | 96 | "publication_state": "published", | ||
97 | "related_datasets": "", | 97 | "related_datasets": "", | ||
98 | "related_publications": "", | 98 | "related_publications": "", | ||
99 | "relationships_as_object": [], | 99 | "relationships_as_object": [], | ||
100 | "relationships_as_subject": [], | 100 | "relationships_as_subject": [], | ||
101 | "resource_type": "dataset", | 101 | "resource_type": "dataset", | ||
102 | "resource_type_general": "dataset", | 102 | "resource_type_general": "dataset", | ||
103 | "resources": [ | 103 | "resources": [ | ||
104 | { | 104 | { | ||
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106 | "cache_url": null, | 106 | "cache_url": null, | ||
107 | "created": "2021-03-26T15:59:58.856682", | 107 | "created": "2021-03-26T15:59:58.856682", | ||
108 | "description": "(1) cropland; (2) grassland; other LC classes | 108 | "description": "(1) cropland; (2) grassland; other LC classes | ||
109 | are masked out from the map\r\n", | 109 | are masked out from the map\r\n", | ||
110 | "doi": "", | 110 | "doi": "", | ||
111 | "format": "geotiff", | 111 | "format": "geotiff", | ||
112 | "hash": "", | 112 | "hash": "", | ||
113 | "id": "05a74913-fbe7-477a-9d8a-d1e4f97c30c2", | 113 | "id": "05a74913-fbe7-477a-9d8a-d1e4f97c30c2", | ||
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116 | "mimetype": null, | 116 | "mimetype": null, | ||
117 | "mimetype_inner": null, | 117 | "mimetype_inner": null, | ||
118 | "name": "(current version) Cropland and grassland map of | 118 | "name": "(current version) Cropland and grassland map of | ||
119 | Switzerland (v.1.5)", | 119 | Switzerland (v.1.5)", | ||
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127 | "size": 36873826, | 127 | "size": 36873826, | ||
128 | "state": "active", | 128 | "state": "active", | ||
129 | "url": | 129 | "url": | ||
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131 | "url_type": "upload" | 131 | "url_type": "upload" | ||
132 | }, | 132 | }, | ||
133 | { | 133 | { | ||
134 | "cache_last_updated": null, | 134 | "cache_last_updated": null, | ||
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136 | "created": "2021-03-26T16:04:20.787733", | 136 | "created": "2021-03-26T16:04:20.787733", | ||
137 | "description": "(1) cropland; (2) grassland; (3) shrubland; | 137 | "description": "(1) cropland; (2) grassland; (3) shrubland; | ||
138 | other LC classes are masked out from the map", | 138 | other LC classes are masked out from the map", | ||
139 | "doi": "", | 139 | "doi": "", | ||
140 | "format": "geotiff", | 140 | "format": "geotiff", | ||
141 | "hash": "", | 141 | "hash": "", | ||
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146 | "mimetype_inner": null, | 146 | "mimetype_inner": null, | ||
147 | "name": "(current version) Cropland, grassland, and shrubland | 147 | "name": "(current version) Cropland, grassland, and shrubland | ||
148 | map of Switzerland (v.1.5)", | 148 | map of Switzerland (v.1.5)", | ||
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n | n | 165 | "created": "2021-03-29T10:24:35.057626", | ||
166 | "description": "Assuming that sealed surfaces have little or no | ||||
167 | phenological response we calculated a mask of unsealed surfaces based | ||||
168 | on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold | ||||
169 | value: 0.7.", | ||||
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178 | "name": "(current version) Mask of unsealed surfaces of | ||||
179 | Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold | ||||
180 | value: 0.7 (v1.5)", | ||||
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197 | "created": "2021-03-29T10:26:15.922027", | ||||
198 | "description": "Assuming that sealed surfaces have little or no | ||||
199 | phenological response we calculated a mask of unsealed surfaces based | ||||
200 | on the 3 years (2017-2019) Sentinel-2 NDVI 95th percentile threshold | ||||
201 | value: 0.6.", | ||||
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211 | Switzerland based on 3 years Sentinel-2 NDVI 95th percentile threshold | ||||
212 | value: 0.6 (v1.5)", | ||||
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165 | "created": "2021-03-08T08:24:54.688432", | 229 | "created": "2021-03-08T08:24:54.688432", | ||
166 | "description": "The code used in Google Earth Engine to derive | 230 | "description": "The code used in Google Earth Engine to derive | ||
167 | the cropland, grassland and shrubland map of Switzerland. Compare to | 231 | the cropland, grassland and shrubland map of Switzerland. Compare to | ||
168 | the previous version the newer version includes the shadow masking | 232 | the previous version the newer version includes the shadow masking | ||
169 | procedure which might be important in the mountainous areas.", | 233 | procedure which might be important in the mountainous areas.", | ||
170 | "doi": "", | 234 | "doi": "", | ||
171 | "format": "JS", | 235 | "format": "JS", | ||
172 | "hash": "", | 236 | "hash": "", | ||
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176 | "mimetype": null, | 240 | "mimetype": null, | ||
177 | "mimetype_inner": null, | 241 | "mimetype_inner": null, | ||
178 | "name": "GEE (Google Earth Engine) script (JavaScript) to | 242 | "name": "GEE (Google Earth Engine) script (JavaScript) to | ||
179 | derived the output map (v1.5)", | 243 | derived the output map (v1.5)", | ||
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187 | "size": 12925, | 251 | "size": 12925, | ||
188 | "state": "active", | 252 | "state": "active", | ||
189 | "url": | 253 | "url": | ||
190 | ownload/sentinel12_wholech_croplandgraslandshrubland_published_v2.js", | 254 | ownload/sentinel12_wholech_croplandgraslandshrubland_published_v2.js", | ||
191 | "url_type": "upload" | 255 | "url_type": "upload" | ||
192 | }, | 256 | }, | ||
193 | { | 257 | { | ||
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473 | { | 473 | { | ||
474 | "display_name": "SWITZERLAND", | 474 | "display_name": "SWITZERLAND", | ||
475 | "id": "97ac3564-bb88-46ad-9fe4-b7d606e0aa3a", | 475 | "id": "97ac3564-bb88-46ad-9fe4-b7d606e0aa3a", | ||
476 | "name": "SWITZERLAND", | 476 | "name": "SWITZERLAND", | ||
477 | "state": "active", | 477 | "state": "active", | ||
478 | "vocabulary_id": null | 478 | "vocabulary_id": null | ||
479 | }, | 479 | }, | ||
480 | { | 480 | { | ||
481 | "display_name": "VEGETATION INDICES", | 481 | "display_name": "VEGETATION INDICES", | ||
482 | "id": "9a6c8ef8-2980-4a11-a3c0-8e9f8a515c6c", | 482 | "id": "9a6c8ef8-2980-4a11-a3c0-8e9f8a515c6c", | ||
483 | "name": "VEGETATION INDICES", | 483 | "name": "VEGETATION INDICES", | ||
484 | "state": "active", | 484 | "state": "active", | ||
485 | "vocabulary_id": null | 485 | "vocabulary_id": null | ||
486 | } | 486 | } | ||
487 | ], | 487 | ], | ||
488 | "title": "Cropland and grassland map of Switzerland based on | 488 | "title": "Cropland and grassland map of Switzerland based on | ||
489 | Sentinel-2 data", | 489 | Sentinel-2 data", | ||
490 | "type": "dataset", | 490 | "type": "dataset", | ||
491 | "url": null, | 491 | "url": null, | ||
492 | "version": "1.5" | 492 | "version": "1.5" | ||
493 | } | 493 | } |