Changes
On March 26, 2024 at 9:28:23 AM +1100, National Native Title Tribunal:
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Added resource Metadata for 2022 Greater Sydney Region canopy data to Greater Sydney Region Tree Canopy 2022
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Added resource Data Quality Statement to Greater Sydney Region Tree Canopy 2022
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Added resource Tree Canopy Summarised by LGA and Suburb (2022 and 2019) to Greater Sydney Region Tree Canopy 2022
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Added resource 2022 Canopy Data Methodology Report to Greater Sydney Region Tree Canopy 2022
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Deleted resource Data Quality Statement from Greater Sydney Region Tree Canopy 2022
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Deleted resource Tree Canopy Summarised by LGA and Suburb (2022 and 2019) from Greater Sydney Region Tree Canopy 2022
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Deleted resource Metadata for 2022 Greater Sydney Region canopy data from Greater Sydney Region Tree Canopy 2022
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Deleted resource 2022 Canopy Data Methodology Report from Greater Sydney Region Tree Canopy 2022
f | 1 | { | f | 1 | { |
2 | "author_email": null, | 2 | "author_email": null, | ||
3 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | 3 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | ||
4 | "extras": [ | 4 | "extras": [ | ||
5 | { | 5 | { | ||
6 | "key": "harvest_portal", | 6 | "key": "harvest_portal", | ||
7 | "value": "SEED" | 7 | "value": "SEED" | ||
8 | }, | 8 | }, | ||
9 | { | 9 | { | ||
10 | "key": "harvest_url", | 10 | "key": "harvest_url", | ||
11 | "value": | 11 | "value": | ||
12 | tasets.seed.nsw.gov.au/dataset/greater-sydney-region-tree-canopy-2022" | 12 | tasets.seed.nsw.gov.au/dataset/greater-sydney-region-tree-canopy-2022" | ||
13 | } | 13 | } | ||
14 | ], | 14 | ], | ||
15 | "groups": [], | 15 | "groups": [], | ||
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17 | "isopen": false, | 17 | "isopen": false, | ||
18 | "license_id": "oeh", | 18 | "license_id": "oeh", | ||
19 | "license_title": "oeh", | 19 | "license_title": "oeh", | ||
20 | "likes": 0, | 20 | "likes": 0, | ||
21 | "maintainer": null, | 21 | "maintainer": null, | ||
22 | "maintainer_email": null, | 22 | "maintainer_email": null, | ||
23 | "metadata_created": "2024-03-25T22:28:19.583998", | 23 | "metadata_created": "2024-03-25T22:28:19.583998", | ||
n | 24 | "metadata_modified": "2024-03-25T22:28:19.584004", | n | 24 | "metadata_modified": "2024-03-25T22:28:23.668876", |
25 | "name": "greater-sydney-region-tree-canopy-2022", | 25 | "name": "greater-sydney-region-tree-canopy-2022", | ||
26 | "notes": "The Greater Sydney Region 2022 canopy dataset provides | 26 | "notes": "The Greater Sydney Region 2022 canopy dataset provides | ||
27 | information on tree canopy cover, vegetation health, land surface | 27 | information on tree canopy cover, vegetation health, land surface | ||
28 | temperature, and individual trees for the metropolitan urban area and | 28 | temperature, and individual trees for the metropolitan urban area and | ||
29 | metropolitan rural area of Greater Sydney. This data can be analysed | 29 | metropolitan rural area of Greater Sydney. This data can be analysed | ||
30 | from the individual tree point to regional scale. Having current and | 30 | from the individual tree point to regional scale. Having current and | ||
31 | accurate estimates of tree canopy supports councils and government to | 31 | accurate estimates of tree canopy supports councils and government to | ||
32 | reliably identify areas of tree canopy and confidently develop urban | 32 | reliably identify areas of tree canopy and confidently develop urban | ||
33 | greening and heat island mitigation strategies and actions. This | 33 | greening and heat island mitigation strategies and actions. This | ||
34 | dataset provides the user with information at a known spatial | 34 | dataset provides the user with information at a known spatial | ||
35 | accuracy. The dataset is based off aerial imagery with a resolution of | 35 | accuracy. The dataset is based off aerial imagery with a resolution of | ||
36 | 0.16cm to 0.48m (dependent on spectral band) captured by ArborCarbon | 36 | 0.16cm to 0.48m (dependent on spectral band) captured by ArborCarbon | ||
37 | Pty Ltd.\r\n\r\nThis dataset can be accessed by Greater Sydney | 37 | Pty Ltd.\r\n\r\nThis dataset can be accessed by Greater Sydney | ||
38 | councils, NSW Government employees, and members of the public (subject | 38 | councils, NSW Government employees, and members of the public (subject | ||
39 | to department assessment and approval).\r\n\r\n__Please fill out this | 39 | to department assessment and approval).\r\n\r\n__Please fill out this | ||
40 | w.planningportal.nsw.gov.au/form/interest-registration-canopy-dataset) | 40 | w.planningportal.nsw.gov.au/form/interest-registration-canopy-dataset) | ||
41 | to access the dataset. Users will be required to sign a [Digital Data | 41 | to access the dataset. Users will be required to sign a [Digital Data | ||
42 | Deed | 42 | Deed | ||
43 | w.planningportal.nsw.gov.au/sites/default/files/documents/2023/Digital | 43 | w.planningportal.nsw.gov.au/sites/default/files/documents/2023/Digital | ||
44 | Data Deed Poll User interface Agreement %282%29.pdf) to access the | 44 | Data Deed Poll User interface Agreement %282%29.pdf) to access the | ||
45 | data.__\r\n\r\nA version of the 2022 canopy dataset, summarised to | 45 | data.__\r\n\r\nA version of the 2022 canopy dataset, summarised to | ||
46 | Modified Mesh Block, is publicly available on the SEED portal | 46 | Modified Mesh Block, is publicly available on the SEED portal | ||
47 | au/dataset/urban-tree-canopy-cover-for-greater-sydney-2022).\r\n\r\nIn | 47 | au/dataset/urban-tree-canopy-cover-for-greater-sydney-2022).\r\n\r\nIn | ||
48 | the dataset, \u201ctree canopy\u201d is classified as all vegetation | 48 | the dataset, \u201ctree canopy\u201d is classified as all vegetation | ||
49 | greater than 3m. \u201cAll vegetation\u201d includes all vegetation, | 49 | greater than 3m. \u201cAll vegetation\u201d includes all vegetation, | ||
50 | including tree canopy, greater than 0m. Note: due to data limitations, | 50 | including tree canopy, greater than 0m. Note: due to data limitations, | ||
51 | not all grass areas have been identified in their | 51 | not all grass areas have been identified in their | ||
52 | entirety.\r\n\r\nMore information on the 2022 Greater Sydney canopy | 52 | entirety.\r\n\r\nMore information on the 2022 Greater Sydney canopy | ||
53 | dataset can be found | 53 | dataset can be found | ||
54 | au/our-work/programs-and-initiatives/urban-greening/tree-canopy-data). | 54 | au/our-work/programs-and-initiatives/urban-greening/tree-canopy-data). | ||
55 | \r\n", | 55 | \r\n", | ||
56 | "num_resources": 4, | 56 | "num_resources": 4, | ||
57 | "num_tags": 8, | 57 | "num_tags": 8, | ||
58 | "organization": { | 58 | "organization": { | ||
59 | "approval_status": "approved", | 59 | "approval_status": "approved", | ||
60 | "created": "2024-02-06T16:01:13.448632", | 60 | "created": "2024-02-06T16:01:13.448632", | ||
61 | "description": "Building the future of NSW today through | 61 | "description": "Building the future of NSW today through | ||
62 | delivering diverse planning, housing solutions, and infrastructure | 62 | delivering diverse planning, housing solutions, and infrastructure | ||
63 | across the state.", | 63 | across the state.", | ||
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65 | "image_url": "2024-02-06-050113.431956imageupload", | 65 | "image_url": "2024-02-06-050113.431956imageupload", | ||
66 | "is_organization": true, | 66 | "is_organization": true, | ||
67 | "name": "department-of-planning-housing-and-infrastructure", | 67 | "name": "department-of-planning-housing-and-infrastructure", | ||
68 | "state": "active", | 68 | "state": "active", | ||
69 | "title": "NSW Department of Planning, Housing and Infrastructure", | 69 | "title": "NSW Department of Planning, Housing and Infrastructure", | ||
70 | "type": "organization" | 70 | "type": "organization" | ||
71 | }, | 71 | }, | ||
72 | "owner_org": "da204e2a-c050-4a90-a459-da3406a34d8a", | 72 | "owner_org": "da204e2a-c050-4a90-a459-da3406a34d8a", | ||
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74 | "relationships_as_object": [], | 74 | "relationships_as_object": [], | ||
75 | "relationships_as_subject": [], | 75 | "relationships_as_subject": [], | ||
76 | "resources": [ | 76 | "resources": [ | ||
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152 | "format": "XLSX", | 152 | "format": "XLSX", | ||
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159 | "name": "Tree Canopy Summarised by LGA and Suburb (2022 and | 160 | "name": "Tree Canopy Summarised by LGA and Suburb (2022 and | ||
160 | 2019)", | 161 | 2019)", | ||
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165 | "state": "active", | 166 | "state": "active", | ||
166 | "url": | 167 | "url": | ||
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168 | "url_type": null | 169 | "url_type": null | ||
169 | } | 170 | } | ||
170 | ], | 171 | ], | ||
171 | "spatial": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | 172 | "spatial": "{ \"type\": \"Polygon\", \"coordinates\": [ [ [ | ||
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175 | "spatial_coverage": "{ \"type\": \"Polygon\", \"coordinates\": [ [ | 176 | "spatial_coverage": "{ \"type\": \"Polygon\", \"coordinates\": [ [ | ||
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179 | "state": "active", | 180 | "state": "active", | ||
180 | "tags": [ | 181 | "tags": [ | ||
181 | { | 182 | { | ||
182 | "display_name": "land surface temperature", | 183 | "display_name": "land surface temperature", | ||
183 | "id": "258bc78a-0c58-4199-953c-6e55d34c5f23", | 184 | "id": "258bc78a-0c58-4199-953c-6e55d34c5f23", | ||
184 | "name": "land surface temperature", | 185 | "name": "land surface temperature", | ||
185 | "state": "active", | 186 | "state": "active", | ||
186 | "vocabulary_id": null | 187 | "vocabulary_id": null | ||
187 | }, | 188 | }, | ||
188 | { | 189 | { | ||
189 | "display_name": "tree", | 190 | "display_name": "tree", | ||
190 | "id": "1bc19452-80de-4f84-a96b-9d1589f14dd4", | 191 | "id": "1bc19452-80de-4f84-a96b-9d1589f14dd4", | ||
191 | "name": "tree", | 192 | "name": "tree", | ||
192 | "state": "active", | 193 | "state": "active", | ||
193 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
194 | }, | 195 | }, | ||
195 | { | 196 | { | ||
196 | "display_name": "tree canopy", | 197 | "display_name": "tree canopy", | ||
197 | "id": "41bf1851-9479-44d6-8d29-3d72307ad214", | 198 | "id": "41bf1851-9479-44d6-8d29-3d72307ad214", | ||
198 | "name": "tree canopy", | 199 | "name": "tree canopy", | ||
199 | "state": "active", | 200 | "state": "active", | ||
200 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
201 | }, | 202 | }, | ||
202 | { | 203 | { | ||
203 | "display_name": "tree cover", | 204 | "display_name": "tree cover", | ||
204 | "id": "55099089-9de4-441d-8739-bfc69f8af13e", | 205 | "id": "55099089-9de4-441d-8739-bfc69f8af13e", | ||
205 | "name": "tree cover", | 206 | "name": "tree cover", | ||
206 | "state": "active", | 207 | "state": "active", | ||
207 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
208 | }, | 209 | }, | ||
209 | { | 210 | { | ||
210 | "display_name": "tree inventory", | 211 | "display_name": "tree inventory", | ||
211 | "id": "a0a0358e-76cc-4d1e-9dec-d179b5b95066", | 212 | "id": "a0a0358e-76cc-4d1e-9dec-d179b5b95066", | ||
212 | "name": "tree inventory", | 213 | "name": "tree inventory", | ||
213 | "state": "active", | 214 | "state": "active", | ||
214 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
215 | }, | 216 | }, | ||
216 | { | 217 | { | ||
217 | "display_name": "urban heat", | 218 | "display_name": "urban heat", | ||
218 | "id": "cd60b02a-dfe6-4f2b-858e-5dd5f369ef06", | 219 | "id": "cd60b02a-dfe6-4f2b-858e-5dd5f369ef06", | ||
219 | "name": "urban heat", | 220 | "name": "urban heat", | ||
220 | "state": "active", | 221 | "state": "active", | ||
221 | "vocabulary_id": null | 222 | "vocabulary_id": null | ||
222 | }, | 223 | }, | ||
223 | { | 224 | { | ||
224 | "display_name": "vegetation", | 225 | "display_name": "vegetation", | ||
225 | "id": "78eba75e-1aec-464f-937c-b4d5858ddc95", | 226 | "id": "78eba75e-1aec-464f-937c-b4d5858ddc95", | ||
226 | "name": "vegetation", | 227 | "name": "vegetation", | ||
227 | "state": "active", | 228 | "state": "active", | ||
228 | "vocabulary_id": null | 229 | "vocabulary_id": null | ||
229 | }, | 230 | }, | ||
230 | { | 231 | { | ||
231 | "display_name": "vegetation health", | 232 | "display_name": "vegetation health", | ||
232 | "id": "bf1b970b-ecdf-41c9-aacb-7cb84062d252", | 233 | "id": "bf1b970b-ecdf-41c9-aacb-7cb84062d252", | ||
233 | "name": "vegetation health", | 234 | "name": "vegetation health", | ||
234 | "state": "active", | 235 | "state": "active", | ||
235 | "vocabulary_id": null | 236 | "vocabulary_id": null | ||
236 | } | 237 | } | ||
237 | ], | 238 | ], | ||
238 | "temporal_coverage_from": "2022-10-03", | 239 | "temporal_coverage_from": "2022-10-03", | ||
239 | "temporal_coverage_to": "2023-02-20", | 240 | "temporal_coverage_to": "2023-02-20", | ||
240 | "title": "Greater Sydney Region Tree Canopy 2022", | 241 | "title": "Greater Sydney Region Tree Canopy 2022", | ||
241 | "type": "dataset", | 242 | "type": "dataset", | ||
242 | "unpublished": "false", | 243 | "unpublished": "false", | ||
243 | "update_freq": "notPlanned", | 244 | "update_freq": "notPlanned", | ||
244 | "url": null, | 245 | "url": null, | ||
245 | "version": null | 246 | "version": null | ||
246 | } | 247 | } |