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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 
            
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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 
            
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blocks and infrastructure corridors in the Greater Sydney Region as of 
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blocks and infrastructure corridors in the Greater Sydney Region as of 
            
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2022. With this dataset users can estimate tree canopy for many 
34
2022. With this dataset users can estimate tree canopy for many 
            
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geographic areas (map scales), from larger local government area and 
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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 
            
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scale). The geographic extent of the 2022 canopy cover dataset 
37
scale). The geographic extent of the 2022 canopy cover dataset 
            
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includes the metropolitan urban area and metropolitan rural area of 
38
includes the metropolitan urban area and metropolitan rural area of 
            
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Greater Sydney.\u202f Having current and accurate estimates of tree 
39
Greater Sydney.\u202f Having current and accurate estimates of tree 
            
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canopy supports citizens and governments to reliably identify areas of 
40
canopy supports citizens and governments to reliably identify areas of 
            
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tree canopy and confidently develop urban greening and heat island 
41
tree canopy and confidently develop urban greening and heat island 
            
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mitigation strategies and actions. \r\n\r\nThis dataset provides the 
42
mitigation strategies and actions. \r\n\r\nThis dataset provides the 
            
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user with information at a known spatial accuracy. The dataset uses 
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user with information at a known spatial accuracy. The dataset uses 
            
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vegetation information derived from 0.48m resolution ArborCarbon Pty 
44
vegetation information derived from 0.48m resolution ArborCarbon Pty 
            
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Ltd height stratified vegetation cover data combined with boundary and 
45
Ltd height stratified vegetation cover data combined with boundary and 
            
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land use information from the Australian Bureau of Statistics (ABS) 
46
land use information from the Australian Bureau of Statistics (ABS) 
            
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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 
            
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Block boundaries from the \u2018Greater Sydney Region Tree Canopy to 
49
Block boundaries from the \u2018Greater Sydney Region Tree Canopy to 
            
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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 
            
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lower proportion of Metropolitan Urban Area, as some observed 
52
lower proportion of Metropolitan Urban Area, as some observed 
            
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differences may be a result of variations in methodologies rather than 
53
differences may be a result of variations in methodologies rather than 
            
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actual change in canopy cover.\r\n\r\nIn the dataset, \u201ctree 
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actual change in canopy cover.\r\n\r\nIn the dataset, \u201ctree 
            
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canopy\u201d is classified as all vegetation greater than 3m. 
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canopy\u201d is classified as all vegetation greater than 3m. 
            
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\u201cAll vegetation\u201d includes all vegetation, including tree 
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\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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