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v.au/opendata/dataset/urban-tree-canopy-cover-for-greater-sydney-2022"
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v.au/opendata/dataset/urban-tree-canopy-cover-for-greater-sydney-2022"
            
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  "license_id": "cc-by",
            
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  "license_title": "Creative Commons Attribution",
            
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  "metadata_modified": "2024-06-11T05:59:40.797003",
            
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  "name": "urban-tree-canopy-cover-for-greater-sydney-2022",
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  "name": "urban-tree-canopy-cover-for-greater-sydney-2022",
            
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  "notes": "The Greater Sydney Region Tree Canopy to Modified Mesh 
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  "notes": "The Greater Sydney Region Tree Canopy to Modified Mesh 
            
32
Block 2022 provides both an area and percentage of canopy for city 
32
Block 2022 provides both an area and percentage of canopy for city 
            
33
blocks and infrastructure corridors in the Greater Sydney Region as of 
33
blocks and infrastructure corridors in the Greater Sydney Region as of 
            
34
2022. With this dataset users can estimate tree canopy for many 
34
2022. With this dataset users can estimate tree canopy for many 
            
35
geographic areas (map scales), from larger local government area and 
35
geographic areas (map scales), from larger local government area and 
            
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precincts down to mesh block (ABS) and modified mesh block (smallest 
36
precincts down to mesh block (ABS) and modified mesh block (smallest 
            
37
scale). The geographic extent of the 2022 canopy cover dataset 
37
scale). The geographic extent of the 2022 canopy cover dataset 
            
38
includes the metropolitan urban area and metropolitan rural area of 
38
includes the metropolitan urban area and metropolitan rural area of 
            
39
Greater Sydney.\u202f Having current and accurate estimates of tree 
39
Greater Sydney.\u202f Having current and accurate estimates of tree 
            
40
canopy supports citizens and governments to reliably identify areas of 
40
canopy supports citizens and governments to reliably identify areas of 
            
41
tree canopy and confidently develop urban greening and heat island 
41
tree canopy and confidently develop urban greening and heat island 
            
42
mitigation strategies and actions. \r\n\r\nThis dataset provides the 
42
mitigation strategies and actions. \r\n\r\nThis dataset provides the 
            
43
user with information at a known spatial accuracy. The dataset uses 
43
user with information at a known spatial accuracy. The dataset uses 
            
44
vegetation information derived from 0.48m resolution ArborCarbon Pty 
44
vegetation information derived from 0.48m resolution ArborCarbon Pty 
            
45
Ltd height stratified vegetation cover data combined with boundary and 
45
Ltd height stratified vegetation cover data combined with boundary and 
            
46
land use information from the Australian Bureau of Statistics (ABS) 
46
land use information from the Australian Bureau of Statistics (ABS) 
            
47
Mesh Block polygon dataset. \r\n\r\nThe Greater Sydney Region Tree 
47
Mesh Block polygon dataset. \r\n\r\nThe Greater Sydney Region Tree 
            
48
Canopy to Modified Mesh Block 2022 dataset uses the Modified Mesh 
48
Canopy to Modified Mesh Block 2022 dataset uses the Modified Mesh 
            
49
Block boundaries from the \u2018Greater Sydney Region Tree Canopy to 
49
Block boundaries from the \u2018Greater Sydney Region Tree Canopy to 
            
50
Modified Mesh Block 2019\u2019 dataset. Care should be taken when 
50
Modified Mesh Block 2019\u2019 dataset. Care should be taken when 
            
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comparing canopy cover between datasets, especially in LGAs with a 
51
comparing canopy cover between datasets, especially in LGAs with a 
            
52
lower proportion of Metropolitan Urban Area, as some observed 
52
lower proportion of Metropolitan Urban Area, as some observed 
            
53
differences may be a result of variations in methodologies rather than 
53
differences may be a result of variations in methodologies rather than 
            
54
actual change in canopy cover.\r\n\r\nIn the dataset, \u201ctree 
54
actual change in canopy cover.\r\n\r\nIn the dataset, \u201ctree 
            
55
canopy\u201d is classified as all vegetation greater than 3m. 
55
canopy\u201d is classified as all vegetation greater than 3m. 
            
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\u201cAll vegetation\u201d includes all vegetation, including tree 
56
\u201cAll vegetation\u201d includes all vegetation, including tree 
            
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canopy, greater than 0m. Note: due to data limitations, not all grass 
57
canopy, greater than 0m. Note: due to data limitations, not all grass 
            
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areas have been identified in their entirety. ",
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    "description": "Building the future of NSW today through 
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    "description": "Building the future of NSW today through 
            
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delivering diverse planning, housing solutions, and infrastructure 
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delivering diverse planning, housing solutions, and infrastructure 
            
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across the state.",
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