The Greater Sydney Canopy Access 2022 dataset provides information on community access to tree canopy cover in Greater Sydney. It enables quick reference to localised canopy cover and identification of local areas of low or high tree canopy cover to target policy interventions and projects. It can be used to prioritise action to achieve equitable access to the benefits of canopy and trees for the community. The dataset was created to enable broad availability and use of the Greater Sydney Region Tree Canopy 2022 Dataset. It consists of vegetation cover (i.e. canopy cover and green cover) in hexagonal vector grid format, for each Local Government Area in Greater Sydney and the whole Greater Sydney Region. It is derived from a height stratified vegetation cover dataset (i.e. Greater Sydney Region Tree Canopy 2022) acquired by ArborCarbon over Greater Sydney at 16,000ft AGL from fixed wing aircraft between 3 October 2022 and 20 February 2023. In the dataset, "tree canopy" is classified as all vegetation greater than 3m. "All vegetation" includes vegetation, including tree canopy, greater than 0m. Note: due to data limitations, not all grass areas have been identified in their entirety. The dataset can be used to understand community access to canopy at the local scale. It should not be used to calculate canopy cover at Local Government Area (LGA) or suburb scale. Summary statistics for canopy cover at these scales is available on the NSW Government SEED portal (see methodology report). The hexagon cells at the edge of capture area may not accurately reflect the canopy cover on the ground because the canopy cover was calculated across the whole hexagon and not just the part of the hexagon that canopy was recorded in.

The Greater Sydney Region Tree Canopy to Modified Mesh Block 2022 provides both an area and percentage of canopy for city blocks and infrastructure corridors in the Greater Sydney Region as of 2022. With this dataset users can estimate tree canopy for many geographic areas (map scales), from larger local government area and precincts down to mesh block (ABS) and modified mesh block (smallest scale). The geographic extent of the 2022 canopy cover dataset includes the metropolitan urban area and metropolitan rural area of Greater Sydney.  Having current and accurate estimates of tree canopy supports citizens and governments to reliably identify areas of tree canopy and confidently develop urban greening and heat island mitigation strategies and actions. This dataset provides the user with information at a known spatial accuracy. The dataset uses vegetation information derived from 0.48m resolution ArborCarbon Pty Ltd height stratified vegetation cover data combined with boundary and land use information from the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset. The Greater Sydney Region Tree Canopy to Modified Mesh Block 2022 dataset uses the Modified Mesh Block boundaries from the ‘Greater Sydney Region Tree Canopy to Modified Mesh Block 2019’ dataset. Care should be taken when comparing canopy cover between datasets, especially in LGAs with a lower proportion of Metropolitan Urban Area, as some observed differences may be a result of variations in methodologies rather than actual change in canopy cover. In the dataset, “tree canopy” is classified as all vegetation greater than 3m. “All vegetation” includes all vegetation, including tree canopy, greater than 0m. Note: due to data limitations, not all grass areas have been identified in their entirety.

This dataset contains spatial polygons which represent tree canopy areas across the City of Melbourne. It can be easily mapped using the geometry column. Tree canopy polygons have been derived by ArborCarbon from high-resolution airborne multispectral imagery. ArborCarbon collected this imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. The high-resolution airborne imagery datasets were geometrically corrected and orthorectified using the City of Melbourne’s publicly available 2018 aerial imagery and a Digital Terrain Model supplied by the City. A Digital Surface Model was generated from the acquired imagery for the full extent of the City, enabling the stratification of vegetation into a range of height categories. All vegetation >3m above the ground was classified as canopy (excluding vegetation on building rooftops).

This dataset contains spatial polygons which represent tree canopy areas across the City of Melbourne. It can be easily mapped using the geometry column. Tree canopy polygons have been derived by ArborCarbon from high-resolution airborne multispectral imagery. ArborCarbon collected this imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. The high-resolution airborne imagery datasets were geometrically corrected and orthorectified using the City of Melbourne’s publicly available 2018 aerial imagery and a Digital Terrain Model supplied by the City. A Digital Surface Model was generated from the acquired imagery for the full extent of the City, enabling the stratification of vegetation into a range of height categories. All vegetation >3m above the ground was classified as canopy (excluding vegetation on building rooftops).

This dataset contains spatial polygons which represent tree canopy areas across the City of Melbourne. It can be easily mapped using the geometry column. Tree canopy polygons have been derived by ArborCarbon from high-resolution airborne multispectral imagery. ArborCarbon collected this imagery using the ArborCam, a unique 11-band airborne multispectral camera system optimized for the accurate detection of vegetation and subtle changes in vegetation condition. The high-resolution airborne imagery datasets were geometrically corrected and orthorectified using the City of Melbourne’s publicly available 2018 aerial imagery and a Digital Terrain Model supplied by the City. A Digital Surface Model was generated from the acquired imagery for the full extent of the City, enabling the stratification of vegetation into a range of height categories. All vegetation >3m above the ground was classified as canopy (excluding vegetation on building rooftops).

The Greater Sydney Region Urban Vegetation Cover to Modified Mesh Block 2016 provides both an area and percentage of vegetation for city blocks and infrastructure corridors in the Greater Sydney Region as of 2016. With this dataset, users can estimate tree canopy and vegetation cover in urban areas at many scales, such as mesh block, precinct, or local government area. Having current and accurate estimates of tree canopy and vegetation like this supports citizens and governments to reliably identify areas of tree canopy and confidently develop urban greening and heat island mitigation strategies and action. This dataset provides the user with information of high spatial accuracy. The dataset uses vegetation information derived from high resolution aerial photography combined with boundary and land use information from the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset augmented with road and railroad data from the NSW Digital Cadastral Database. The content was co-designed with state and local governments and developed using scientifically-rigorous methodologies. The extent of the dataset covers urban, major urban, peri-urban and other urban areas within the Greater Sydney Region. While the dataset provides wall to wall coverage of many councils, it does not include far outlying rural areas in the Region.

Tree canopy within City of Melbourne mapped using 2018 aerial photos and LiDAR. The canopy polygons represent actual tree canopy extents on public property (land managed by the City of Melbourne) across the city. The data is considered accurate for 2018. Changes in tree canopy are expected to have occurred since that time. Tree canopy cover is mapped by the City of Melbourne annually.

The Greater Sydney Region Tree Canopy to Modified Mesh Block 2019 provides both an area and percentage of canopy for city blocks and infrastructure corridors in the Greater Sydney Region as of 2019. With this dataset users can estimate tree canopy for many geographic areas (map scales), from larger local government area and precincts down to mesh block (ABS) and modified mesh block (smallest scale). Having current and accurate estimates of tree canopy supports citizens and governments to reliably identify areas of tree canopy and confidently develop urban greening and heat island mitigation strategies and actions. This dataset provides the user with information at a known spatial accuracy. The dataset uses vegetation information derived from 2m resolution Geoscape © [Surface Features](https://geoscape.com.au/data/surface-features/) data (commercial product) combined with boundary and land use information from the Australian Bureau of Statistics (ABS) Mesh Block polygon dataset. Mesh Block data is augmented with boundaries (road, rail, property & water) from the NSW Digital Cadastral Database and NSW Land Zoning to produce modified mesh block boundaries the ABS Mesh Blocks. The modified mesh block are designed to assist the planning of tree planting based on land use. The work was undertaken to support the NSW Government Greener City Program and 2021 [Government Priority of One Million trees project.](https://www.nsw.gov.au/premiers-priorities/greening-our-city)

Tree canopy within City of Melbourne mapped using 2014 aerial photos and LiDAR. The canopy polygons represent actual tree canopy extents on both private and public property across the city.