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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 
            
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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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