Based on Landgate’s high resolution aerial imagery, CSIRO generate the Urban Monitor mosaic from which vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres. Urban Forest Mesh Blocks have been published for the following years: 2009, 2014, 2016, 2018. Parcels to be analysed were sourced from the 2016 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete. Land parcels were assigned locational data (2016 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel. The statistics were then aggregated by the field MB_MonitorCategory, a concatenation of the fields MB_CODE16 and MonitorCategory. Canopy coverage percentages and ranges were calculated based on the sum of the area of parcels within each MB_MonitoryCategory. As parcels with sufficient Urban Monitor coverage for Urban Forest analysis may vary between years making comparison difficult, a field called MBPercentage was added which shows the percentage of the total MB_MonitorCategory area (MBArea) covered by parcels with Urban Forest values for that year. Corresponding MBPercentage values for all published years were also added to inform users. NOTE: As mesh block attributes were assigned based on parcel centroid, aggregated mesh block boundaries based on the parcels may not match ABS mesh block boundaries, and MBAreas will not match ABS mesh block areas.

Based on Landgate’s high resolution aerial imagery, CSIRO generate the Urban Monitor mosaic from which vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres. Urban Forest Mesh Blocks have been published for the following years: 2009, 2014, 2016, 2018, 2024. Parcels to be analysed were sourced from the 2024 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete. Land parcels were assigned locational data (2021 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel. The statistics were then aggregated by the field MB_MonitorCategory, a concatenation of the fields MB_CODE2021 and MonitorCategory. Canopy coverage percentages and ranges were calculated based on the sum of the area of parcels within each MB_MonitoryCategory. As parcels with sufficient Urban Monitor coverage for Urban Forest analysis may vary between years making comparison difficult, a field called MBPercentage was added which shows the percentage of the total MB_MonitorCategory area (MBArea) covered by parcels with Urban Forest values for that year. Corresponding MBPercentage values for all published years were also added to inform users. NOTE: As mesh block attributes were assigned based on parcel centroid, aggregated mesh block boundaries based on the parcels may not match ABS mesh block boundaries, and MBAreas will not match ABS mesh block areas.

Based on Landgate’s high resolution aerial imagery, CSIRO generate the Urban Monitor mosaic from which vegetation height strata of endemic and exotic species has been calculated and reported as an area for each height strata of 0 – 3 m, 3 – 8 m, 8 – 15 m and 15+ m. The area of grass covered areas falling into the 0 – 50 cm range has also been calculated and recorded in square metres. Vegetation coverage greater than 3 metres in height has been deemed tree canopy. The canopies have been aggregated and reported as total canopy coverage in square metres. Urban Forest Mesh Blocks have been published for the following years: 2009, 2014, 2016, 2018. Parcels to be analysed were sourced from the 2016 Integrated Land Information Database (ILID) and supplied to CSIRO by the Department of Planning, Lands and Heritage. The results were assembled into Urban Forest features where the Urban Monitor coverage was complete. Land parcels were assigned locational data (2016 ABS meshblocks, suburbs, local government authority (LGA) and planning sub-region) based on the parcel centroid. They were then attributed with the following land use categories: • Street Block: residential, commercial, industrial, hospital/medical, educational, and some agricultural and transport land uses • Parks: public parks, open space, private recreation grounds and State Forest • Roads: roads including road reserves • Other Infrastructure: rail, airports and utilities infrastructure • Other: land uses in transition that have not progressed sufficiently to be Street Blocks or do not conform to urban form • Rural: primary production land that does not fall in categories above • Water: ocean and other waterways, including reservoirs The vegetation height strata areas and total canopy coverage values were calculated for each land parcel. The statistics were then aggregated by the field MB_MonitorCategory, a concatenation of the fields MB_CODE16 and MonitorCategory. Canopy coverage percentages and ranges were calculated based on the sum of the area of parcels within each MB_MonitoryCategory. As parcels with sufficient Urban Monitor coverage for Urban Forest analysis may vary between years making comparison difficult, a field called MBPercentage was added which shows the percentage of the total MB_MonitorCategory area (MBArea) covered by parcels with Urban Forest values for that year. Corresponding MBPercentage values for all published years were also added to inform users. NOTE: As mesh block attributes were assigned based on parcel centroid, aggregated mesh block boundaries based on the parcels may not match ABS mesh block boundaries, and MBAreas will not match ABS mesh block areas.

This dataset contains estimates of tree canopy cover presence at high resolution (0.5m) across the state of Vermont for 2016 in Cloud-Optimized GeoTIFF (*.tif) format. Tree canopy was derived from 2016 high-resolution remotely sensed data as part of the Vermont High-Resolution Land Cover mapping project. Object-based image analysis techniques (OBIA) were employed to extract potential tree canopy and trees using the best available remotely sensed and vector GIS datasets. OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to ensure that the end product is both accurate and cartographically pleasing. Following the automated OBIA mapping a detailed manual review of the dataset was carried out at a scale of 1:3000 and all observable errors were corrected. Tree canopy assessments have been conducted for numerous communities throughout the U.S. where the results have been instrumental in helping to establish tree canopy goals.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.

State-wide vegetation cover datasets of perennial woody vegetation based on Landsat imagery (30m ground pixel) are produced annually with data starting in 1988 to current. The classification of woody perennial vegetation is provided in two classes, one forest category meeting the vegetation structural requirement for 20% cover density and 2m height at maturity, and a sparse woody vegetation category identifying areas with 5- 20% vegetation cover. Click here for more information.