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environment_ACTGOV - ACT ROAD CANOPY COVER 2020
ACT Canopy Estimate Statistics 2020 for blocks, divisions and road polygons are derived from the ACT Canopy Cover 2020 footprint dataset (available soon). The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. This datasets provides the estimated % coverage of vegetation above 3m for blocks, division and road polygons current at 2021, and was completed by a collaboration between EPSDD and TCCS, ACT Government. The canopy coverage % is determined by the coverage of vegetation above 3m divided by the area of feature (e.g. block area). The total tree canopy cover estimate for Canberra for 2020 is based on the footprint of all urban divisions (suburbs): 22.5%. View this data in our ACT Canopy Cover 2020 Interactive Web App. See the following for more information: https://www.cityservices.act.gov.au/trees-and-nature/trees/urban-forest-strategyhttps://www.cityservices.act.gov.au/__data/assets/pdf_file/0009/1887696/Urban-Tree-Canopy-Coverage-Report.pdfhttps://www.cmtedd.act.gov.au/open_government/inform/act_government_media_releases/vassarotti/2021/canberras-tree-canopy-continues-to-grow climatechoices.act.gov.au/__data/assets/pdf_file/0005/1413770/Canberras-Living-Infrastructure-Plan.pdf ACT Blocks, Divisions and Road Polygon data are available in the ACT Geospatial Data Catalogue https://actmapi-actgov.opendata.arcgis.com/. The ACT 2020 LiDAR point clouds (Aerometrex and ACT Government 2020) are available from https://elevation.fsdf.org.au/ (CCBY Licence). Data lineage: This dataset is derived from the Light Detection and Ranging (LiDAR) data captured by Aerometrex and ACT Government over ACT in April 2020. The point clouds were processed by the ACT Government with ArcGIS to produce ACT Canopy Cover footprint for vegetation above 3m. Canopy modelling was completed at 1m resolution. The canopy footprints were then augmented to block, division and road polygon coverage statistics. Coordinate system: GDA 2020 MGA Zone 55. Temporal coverage: April 2020 Update schedule: every 5 years Tile photo by Mark Jekabsons, Trees over Gungahlin Caveat: Comparison of the ACT 2020 Canopy Cover to the 2015 is not comparable due to differences in methodology, including differences in resolution and point density, and time of year the LiDAR was captured. The 2015 data was captured in late Autumn, whereas 2020 was captured in early Autumn.
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environment_ACTGOV - ACTGOV Canopy Cover 2020 Statistics
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ACT Canopy Estimate Statistics 2020 for blocks, divisions and road polygons are derived from the ACT Canopy Cover 2020 footprint dataset (available soon). The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. This datasets provides the estimated % coverage of vegetation above 3m for blocks, division and road polygons current at 2021, and was completed by a collaboration between EPSDD and TCCS, ACT Government. The canopy coverage % is determined by the coverage of vegetation above 3m divided by the area of feature (e.g. block area). The total tree canopy cover estimate for Canberra for 2020 is based on the footprint of all urban divisions (suburbs): 22.5%. View this data in our ACT Canopy Cover 2020 Interactive Web App. See the following for more information: https://www.cityservices.act.gov.au/trees-and-nature/trees/urban-forest-strategyhttps://www.cityservices.act.gov.au/__data/assets/pdf_file/0009/1887696/Urban-Tree-Canopy-Coverage-Report.pdfhttps://www.cmtedd.act.gov.au/open_government/inform/act_government_media_releases/vassarotti/2021/canberras-tree-canopy-continues-to-grow climatechoices.act.gov.au/__data/assets/pdf_file/0005/1413770/Canberras-Living-Infrastructure-Plan.pdf ACT Blocks, Divisions and Road Polygon data are available in the ACT Geospatial Data Catalogue https://actmapi-actgov.opendata.arcgis.com/. The ACT 2020 LiDAR point clouds (Aerometrex and ACT Government 2020) are available from https://elevation.fsdf.org.au/ (CCBY Licence). Data lineage: This dataset is derived from the Light Detection and Ranging (LiDAR) data captured by Aerometrex and ACT Government over ACT in April 2020. The point clouds were processed by the ACT Government with ArcGIS to produce ACT Canopy Cover footprint for vegetation above 3m. Canopy modelling was completed at 1m resolution. The canopy footprints were then augmented to block, division and road polygon coverage statistics. Coordinate system: GDA 2020 MGA Zone 55. Temporal coverage: April 2020 Update schedule: every 5 years Tile photo by Mark Jekabsons, Trees over Gungahlin Caveat: Comparison of the ACT 2020 Canopy Cover to the 2015 is not comparable due to differences in methodology, including differences in resolution and point density, and time of year the LiDAR was captured. The 2015 data was captured in late Autumn, whereas 2020 was captured in early Autumn.
environment_ACTGOV - ACT BLOCKS CANOPY COVER 2020
공공데이터포털
ACT Canopy Estimate Statistics 2020 for blocks, divisions and road polygons are derived from the ACT Canopy Cover 2020 footprint dataset (available soon). The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. This datasets provides the estimated % coverage of vegetation above 3m for blocks, division and road polygons current at 2021, and was completed by a collaboration between CED and TCCS, ACT Government. The canopy coverage % is determined by the coverage of vegetation above 3m divided by the area of feature (e.g. block area). The total tree canopy cover estimate for Canberra for 2020 is based on the footprint of all urban divisions (suburbs): 22.5%. View this data in our ACT Canopy Cover 2020 Interactive Web App. See the following for more information: https://www.cityservices.act.gov.au/trees-and-nature/trees/urban-forest-strategy https://www.cityservices.act.gov.au/__data/assets/pdf_file/0009/1887696/Urban-Tree-Canopy-Coverage-Report.pdf https://www.cmtedd.act.gov.au/open_government/inform/act_government_media_releases/vassarotti/2021/canberras-tree-canopy-continues-to-grow climatechoices.act.gov.au/__data/assets/pdf_file/0005/1413770/Canberras-Living-Infrastructure-Plan.pdf ACT Blocks, Divisions and Road Polygon data are available in the ACT Geospatial Data Catalogue https://actmapi-actgov.opendata.arcgis.com/. The ACT 2020 LiDAR point clouds (Aerometrex and ACT Government 2020) are available from https://elevation.fsdf.org.au/ (CCBY Licence). Data lineage: This dataset is derived from the Light Detection and Ranging (LiDAR) data captured by Aerometrex and ACT Government over ACT in April 2020. The point clouds were processed by the ACT Government with ArcGIS to produce ACT Canopy Cover footprint for vegetation above 3m. Canopy modelling was completed at 1m resolution. The canopy footprints were then augmented to block, division and road polygon coverage statistics. Coordinate system: GDA 2020 MGA Zone 55. Temporal coverage: April 2020 Update schedule: every 5 years Tile photo by Mark Jekabsons, Trees over Gungahlin Caveat: Comparison of the ACT 2020 Canopy Cover to the 2015 is not comparable due to differences in methodology, including differences in resolution and point density, and time of year the LiDAR was captured. The 2015 data was captured in late Autumn, whereas 2020 was captured in early Autumn.
environment_ACTGOV - ACT BLOCKS CANOPY COVER 2020
공공데이터포털
ACT Canopy Estimate Statistics 2020 for blocks, divisions and road polygons are derived from the ACT Canopy Cover 2020 footprint dataset (available soon). The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. This datasets provides the estimated % coverage of vegetation above 3m for blocks, division and road polygons current at 2021, and was completed by a collaboration between EPSDD and TCCS, ACT Government. The canopy coverage % is determined by the coverage of vegetation above 3m divided by the area of feature (e.g. block area). The total tree canopy cover estimate for Canberra for 2020 is based on the footprint of all urban divisions (suburbs): 22.5%. View this data in our ACT Canopy Cover 2020 Interactive Web App. See the following for more information: https://www.cityservices.act.gov.au/trees-and-nature/trees/urban-forest-strategyhttps://www.cityservices.act.gov.au/__data/assets/pdf_file/0009/1887696/Urban-Tree-Canopy-Coverage-Report.pdfhttps://www.cmtedd.act.gov.au/open_government/inform/act_government_media_releases/vassarotti/2021/canberras-tree-canopy-continues-to-grow climatechoices.act.gov.au/__data/assets/pdf_file/0005/1413770/Canberras-Living-Infrastructure-Plan.pdf ACT Blocks, Divisions and Road Polygon data are available in the ACT Geospatial Data Catalogue https://actmapi-actgov.opendata.arcgis.com/. The ACT 2020 LiDAR point clouds (Aerometrex and ACT Government 2020) are available from https://elevation.fsdf.org.au/ (CCBY Licence). Data lineage: This dataset is derived from the Light Detection and Ranging (LiDAR) data captured by Aerometrex and ACT Government over ACT in April 2020. The point clouds were processed by the ACT Government with ArcGIS to produce ACT Canopy Cover footprint for vegetation above 3m. Canopy modelling was completed at 1m resolution. The canopy footprints were then augmented to block, division and road polygon coverage statistics. Coordinate system: GDA 2020 MGA Zone 55. Temporal coverage: April 2020 Update schedule: every 5 years Tile photo by Mark Jekabsons, Trees over Gungahlin Caveat: Comparison of the ACT 2020 Canopy Cover to the 2015 is not comparable due to differences in methodology, including differences in resolution and point density, and time of year the LiDAR was captured. The 2015 data was captured in late Autumn, whereas 2020 was captured in early Autumn.
environment_ACTGOV - ACT DIVISIONS CANOPY COVER 2020
공공데이터포털
ACT Canopy Estimate Statistics 2020 for blocks, divisions and road polygons are derived from the ACT Canopy Cover 2020 footprint dataset (available soon). The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. This datasets provides the estimated % coverage of vegetation above 3m for blocks, division and road polygons current at 2021, and was completed by a collaboration between EPSDD and TCCS, ACT Government. The canopy coverage % is determined by the coverage of vegetation above 3m divided by the area of feature (e.g. block area). The total tree canopy cover estimate for Canberra for 2020 is based on the footprint of all urban divisions (suburbs): 22.5%. View this data in our ACT Canopy Cover 2020 Interactive Web App. See the following for more information: https://www.cityservices.act.gov.au/trees-and-nature/trees/urban-forest-strategyhttps://www.cityservices.act.gov.au/__data/assets/pdf_file/0009/1887696/Urban-Tree-Canopy-Coverage-Report.pdfhttps://www.cmtedd.act.gov.au/open_government/inform/act_government_media_releases/vassarotti/2021/canberras-tree-canopy-continues-to-grow climatechoices.act.gov.au/__data/assets/pdf_file/0005/1413770/Canberras-Living-Infrastructure-Plan.pdf ACT Blocks, Divisions and Road Polygon data are available in the ACT Geospatial Data Catalogue https://actmapi-actgov.opendata.arcgis.com/. The ACT 2020 LiDAR point clouds (Aerometrex and ACT Government 2020) are available from https://elevation.fsdf.org.au/ (CCBY Licence). Data lineage: This dataset is derived from the Light Detection and Ranging (LiDAR) data captured by Aerometrex and ACT Government over ACT in April 2020. The point clouds were processed by the ACT Government with ArcGIS to produce ACT Canopy Cover footprint for vegetation above 3m. Canopy modelling was completed at 1m resolution. The canopy footprints were then augmented to block, division and road polygon coverage statistics. Coordinate system: GDA 2020 MGA Zone 55. Temporal coverage: April 2020 Update schedule: every 5 years Tile photo by Mark Jekabsons, Trees over Gungahlin Caveat: Comparison of the ACT 2020 Canopy Cover to the 2015 is not comparable due to differences in methodology, including differences in resolution and point density, and time of year the LiDAR was captured. The 2015 data was captured in late Autumn, whereas 2020 was captured in early Autumn.
environment_ACTGOV - ACTGOV ACT Canopy Cover Map 2020
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Welcome to the ACT Canopy Cover Map 2020The following interactive map shows Canberra's tree canopy cover in 2020. Canberra's total 2020 tree canopy cover is estimated at 22.5%. The map uses LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here). This canopy cover data product is available in the ACT Government's Open Data Geospatial Catalogue (available here).Canopy coverage percentage is determined by the coverage of vegetation above 3m as detected by LiDAR to a 1m resolution (canopy polygons available here), divided by the area of a feature of interest such as a block, division or road polygon. The total tree canopy cover estimate for Canberra is based on the footprint of all urban divisions (suburbs).
environment_ACTGOV - ACT Canopy Cover 2020 1m CANBERRA
공공데이터포털
This map contains district-based ACT canopy cover polygons at 1m resolution (vegetation cover above 3m) as at April/May 2020, detected with Light Detection and Ranging (LiDAR). The full ACT vector dataset has been split into districts and 1km tiles to allow for easier viewing.WARNING: Due to complexity and high resolution this dataset may draw slowly or appear to miss some trees. For best results, zoom in, view single districts separately, or download a local copy.LIDAR data was acquired in April/May 2020 for the ACT under contract by Aerometrex, at an average resolution of 12ppm. LiDAR is classified to Level 3 (for ground) and delivered as LAS v1.4 in in GDA2020 MGA zone 55. Visit https://www.planning.act.gov.au/professionals/survey-spatial/spatial-information/lidar-data for more info. Processing was completed on the LAS GDA2020 MGA Zone 55 LAS tile set using AHD vertical datum at 1m resolution. Dataset represents high vegetation above 3m (tree canopy or tree-approximate objects - see caveats).Methodology:High noise errors were reclassified.Digital Surface Model (DSM) and Digital Elevation Model (DEM) surfaces were created using ArcPro 2.8 LAS Dataset Geoprocessing Tools at 1 m resolution.Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM).Pits (empty cells inside tree canopies) of 2 pixel (2x1m) were removed using Nibble.An ACT Urban building footprint layer generated from the 2020 LIDAR dataset by Aerometrex was used to remove spurious canopy portions from building roof areas in the urban area.An NDVI layer from pan-sharpened Pleiades multispectral satellite imagery, acquired in April 2019 (the Uriarra area) and November 2019 (rest of Urban Area) was used to delete erroneous non-vegetative surfaces in urban areas.Canopy holes <=1m2 were filled by Eliminate tool.GDA2020 MGA Zone 55.Tree canopy lower than 3m were removed. Converted to a binary raster, then converted to vector.Other available datasets: ACT 2020 Canopy Height Model (raster), ACT Trees (Individual Delineated Trees with Height) (vector), DEM, DSM, Contours, Building Footprints (© Australian Capital Territory & Aerometrex Limited), ACT Permeability, shrub cover - contact spatialdata@act.gov.au. Full LAS Tile sets can also be obtained in the following vertical datums: GDA2020 ellipsoidal, AHD, AVWS - see https://elevation.fsdf.org.au/. Other derivative products (including other canopy products) are available on request or through the ACT Geospatial Data Catalogue.Road, Block and Division Canopy 2020 Statistics also available here: https://actmapi-actgov.opendata.arcgis.com/maps/act-canopy-cover-2020-statistics/aboutCaveats:1. Please note that most (if not all) CHM-based tree delineation results should be thought of as "tree-approximate objects", and not actual trees. 2. Although every effort was made to remove any erroneous polygons (such as street lights, back yard fences and powerlines), there are likely to be some errors remaining.Creative Commons by Attribution (CCBY) 4.0 (Australian Capital Territory). Any sharing, adaption/transformation and value adding, including commercial use should be attributed to ACT Government (Australian Capital Territory). This dataset has been created from the original LiDAR capture and classification © Australian Capital Territory & Aerometrex Limited 2020.How to cite this data: ACT Government (2020) (Botha, H). ACT Canopy Cover 1m 2020. Environment, Planning and Sustainable Development Directorate (EPSDD), ACT Government. Canberra, ACT. Accessed via ACT Geospatial Data Catalogue.
environment_ACTGOV - ACTGOV Mature Tree 2020 Crowns
공공데이터포털
This dataset shows mature tree crown polygons across Canberra, Australian Capital Territory (ACT) derived from 2020 LiDAR Canopy Height Model. Mature Tree crowns are defined as those larger than 100m2 canopy footprint, and higher than 8 metres tall. Includes native and non-native tree representation and estimates height. Also see Mature Tree Centre Points. Methods:The canopy dataset is derived from LiDAR (Light Detection and Ranging) data captured by Aerometrex and the ACT Government (available here) at 12ppm over the ACT and region in April 2020. Tree crowns were delineated using a one metre 2020 LiDAR Canopy Height Model (CHM) via a marker-controlled watershed delineation method (Popescu & Wynn 2004; Plowright & Roussel 2020).A 3X3 low pass smoothing algorithm was applied to the CHM raster. The CHM was then loaded into R and manipulated using the ForestTools R-package (Plowright & Roussel 2020). A variable window filter, which was used in parallel with watershed segmentation, was applied to determine locations of treetops. This algorithm employs a moving window for the CHM to filter pixels, the highest value within the window is regarded as a treetop. The size of the moving window differs and depends on the positive relationship between crown width and tree height. The following metrics was used for the variable window:function(x){((x^2)* 0.009 + 2.5)}. A minimum height of 3 metres was set for the treetop detection algorithm. The resulting dataset, which contained attributes for unique tree identifiers, tree height and moving window size, was saved as a point shapefile. The watershed segmentation method was implemented within the ForestTools R-package to outline tree crowns, using the previously identified treetops as markers. The resulting segmented raster was converted to a simplified polygon layer, and joined with the treetops point layer. Polygons smaller than 3 square metres were removed. Tree crown polygons larger than 100m2 and higher than 8 metres were filtered as "mature trees". Dataset represents native and non-native species.Tree Crown Delineation MethodThe inverse watershed delineation (IWD) method is the popular technique for segmenting individual tree crowns using LIDAR data (Marcu, et al., 2017) (Wannassiri, et al., 2013). LiDAR-based IWD methods have been successfully applied in conifer-dominated systems, while broadleaf-dominated systems have proven to be more challenging (Hastings, et al., 2020). A common problem with the IWD method is the overestimation of tree crowns, especially in dense tree stands. This problem can be partially overcome by a) aggressively filtering the data, and b) using a variable window filter (VWF) algorithm to detect dominant treetops, which then feeds into the IWD.In this project, 2015 and 2020 tree crowns were delineated from the respective CHM’s, via a marker-controlled watershed delineation method (Popescu & Wynne, 2004) implemented via the ForestTools R-package (Plowright & Roussel, 2021). The R-code used in this project is included in metadata lineage.A variable window filter was applied within the ForestTools package to determine locations of treetops. This algorithm employs a variable moving window for the CHM to filter pixels, and the highest value within the window is regarded as a treetop. The size of the moving window differs and depends on the positive relationship between crown width and tree height. The derivation of the appropriate window size to search for treetops is based on the assumption that there is a relationship between the height of the trees and their crown size. The higher the trees, the larger the crown size.Various functions were tested to define the window search radius, including simple linear functions. The function described by Popescu & Wynne was eventually chosen to inform the window search radius of the tree top detection algorithm, as it achieved the best results for mature trees.A minimum height of three metres was set for the treetop detection
environment_ACTGOV - ACTGOV Canopy Cover 2020
공공데이터포털
This map contains district-based ACT canopy cover polygons at 1m resolution (vegetation cover above 3m) as at April/May 2020, detected with Light Detection and Ranging (LiDAR). The full ACT vector dataset has been split into districts and 1km tiles to allow for easier viewing.WARNING: Due to complexity and high resolution this dataset may draw slowly or appear to miss some trees. For best results, zoom in, view single districts separately, or download a local copy.LIDAR data was acquired in April/May 2020 for the ACT under contract by Aerometrex, at an average resolution of 12ppm. LiDAR is classified to Level 3 (for ground) and delivered as LAS v1.4 in in GDA2020 MGA zone 55. Visit https://www.planning.act.gov.au/professionals/survey-spatial/spatial-information/lidar-data for more info. Processing was completed on the LAS GDA2020 MGA Zone 55 LAS tile set using AHD vertical datum at 1m resolution. Dataset represents high vegetation above 3m (tree canopy or tree-approximate objects - see caveats).Methodology:High noise errors were reclassified.Digital Surface Model (DSM) and Digital Elevation Model (DEM) surfaces were created using ArcPro 2.8 LAS Dataset Geoprocessing Tools at 1 m resolution.Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM).Pits (empty cells inside tree canopies) of 2 pixel (2x1m) were removed using Nibble.An ACT Urban building footprint layer generated from the 2020 LIDAR dataset by Aerometrex was used to remove spurious canopy portions from building roof areas in the urban area.An NDVI layer from pan-sharpened Pleiades multispectral satellite imagery, acquired in April 2019 (the Uriarra area) and November 2019 (rest of Urban Area) was used to delete erroneous non-vegetative surfaces in urban areas.Canopy holes <=1m2 were filled by Eliminate tool.GDA2020 MGA Zone 55.Tree canopy lower than 3m were removed. Converted to a binary raster, then converted to vector.Other available datasets: ACT 2020 Canopy Height Model (raster), ACT Trees (Individual Delineated Trees with Height) (vector), DEM, DSM, Contours, Building Footprints (© Australian Capital Territory & Aerometrex Limited), ACT Permeability, shrub cover - contact spatialdata@act.gov.au. Full LAS Tile sets can also be obtained in the following vertical datums: GDA2020 ellipsoidal, AHD, AVWS - see https://elevation.fsdf.org.au/. Other derivative products (including other canopy products) are available on request or through the ACT Geospatial Data Catalogue.Road, Block and Division Canopy 2020 Statistics also available here: https://actmapi-actgov.opendata.arcgis.com/maps/act-canopy-cover-2020-statistics/aboutCaveats:1. Please note that most (if not all) CHM-based tree delineation results should be thought of as "tree-approximate objects", and not actual trees. 2. Although every effort was made to remove any erroneous polygons (such as street lights, back yard fences and powerlines), there are likely to be some errors remaining.Creative Commons by Attribution (CCBY) 4.0 (Australian Capital Territory). Any sharing, adaption/transformation and value adding, including commercial use should be attributed to ACT Government (Australian Capital Territory). This dataset has been created from the original LiDAR capture and classification © Australian Capital Territory & Aerometrex Limited 2020.How to cite this data: ACT Government (2020) (Botha, H). ACT Canopy Cover 1m 2020. Environment, Planning and Sustainable Development Directorate (EPSDD), ACT Government. Canberra, ACT. Accessed via ACT Geospatial Data Catalogue.
environment_ACTGOV - ACT Canopy Cover 2020 1m TENNENT
공공데이터포털
This map contains district-based ACT canopy cover polygons at 1m resolution (vegetation cover above 3m) as at April/May 2020, detected with Light Detection and Ranging (LiDAR). The full ACT vector dataset has been split into districts and 1km tiles to allow for easier viewing.WARNING: Due to complexity and high resolution this dataset may draw slowly or appear to miss some trees. For best results, zoom in, view single districts separately, or download a local copy.LIDAR data was acquired in April/May 2020 for the ACT under contract by Aerometrex, at an average resolution of 12ppm. LiDAR is classified to Level 3 (for ground) and delivered as LAS v1.4 in in GDA2020 MGA zone 55. Visit https://www.planning.act.gov.au/professionals/survey-spatial/spatial-information/lidar-data for more info. Processing was completed on the LAS GDA2020 MGA Zone 55 LAS tile set using AHD vertical datum at 1m resolution. Dataset represents high vegetation above 3m (tree canopy or tree-approximate objects - see caveats).Methodology:High noise errors were reclassified.Digital Surface Model (DSM) and Digital Elevation Model (DEM) surfaces were created using ArcPro 2.8 LAS Dataset Geoprocessing Tools at 1 m resolution.Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM).Pits (empty cells inside tree canopies) of 2 pixel (2x1m) were removed using Nibble.An ACT Urban building footprint layer generated from the 2020 LIDAR dataset by Aerometrex was used to remove spurious canopy portions from building roof areas in the urban area.An NDVI layer from pan-sharpened Pleiades multispectral satellite imagery, acquired in April 2019 (the Uriarra area) and November 2019 (rest of Urban Area) was used to delete erroneous non-vegetative surfaces in urban areas.Canopy holes <=1m2 were filled by Eliminate tool.GDA2020 MGA Zone 55.Tree canopy lower than 3m were removed. Converted to a binary raster, then converted to vector.Other available datasets: ACT 2020 Canopy Height Model (raster), ACT Trees (Individual Delineated Trees with Height) (vector), DEM, DSM, Contours, Building Footprints (© Australian Capital Territory & Aerometrex Limited), ACT Permeability, shrub cover - contact spatialdata@act.gov.au. Full LAS Tile sets can also be obtained in the following vertical datums: GDA2020 ellipsoidal, AHD, AVWS - see https://elevation.fsdf.org.au/. Other derivative products (including other canopy products) are available on request or through the ACT Geospatial Data Catalogue.Road, Block and Division Canopy 2020 Statistics also available here: https://actmapi-actgov.opendata.arcgis.com/maps/act-canopy-cover-2020-statistics/aboutCaveats:1. Please note that most (if not all) CHM-based tree delineation results should be thought of as "tree-approximate objects", and not actual trees. 2. Although every effort was made to remove any erroneous polygons (such as street lights, back yard fences and powerlines), there are likely to be some errors remaining.Creative Commons by Attribution (CCBY) 4.0 (Australian Capital Territory). Any sharing, adaption/transformation and value adding, including commercial use should be attributed to ACT Government (Australian Capital Territory). This dataset has been created from the original LiDAR capture and classification © Australian Capital Territory & Aerometrex Limited 2020.How to cite this data: ACT Government (2020) (Botha, H). ACT Canopy Cover 1m 2020. Environment, Planning and Sustainable Development Directorate (EPSDD), ACT Government. Canberra, ACT. Accessed via ACT Geospatial Data Catalogue.
environment_ACTGOV - ACT Canopy Cover 2020 1m MOUNTCLEAR
공공데이터포털
This map contains district-based ACT canopy cover polygons at 1m resolution (vegetation cover above 3m) as at April/May 2020, detected with Light Detection and Ranging (LiDAR). The full ACT vector dataset has been split into districts and 1km tiles to allow for easier viewing.WARNING: Due to complexity and high resolution this dataset may draw slowly or appear to miss some trees. For best results, zoom in, view single districts separately, or download a local copy.LIDAR data was acquired in April/May 2020 for the ACT under contract by Aerometrex, at an average resolution of 12ppm. LiDAR is classified to Level 3 (for ground) and delivered as LAS v1.4 in in GDA2020 MGA zone 55. Visit https://www.planning.act.gov.au/professionals/survey-spatial/spatial-information/lidar-data for more info. Processing was completed on the LAS GDA2020 MGA Zone 55 LAS tile set using AHD vertical datum at 1m resolution. Dataset represents high vegetation above 3m (tree canopy or tree-approximate objects - see caveats).Methodology:High noise errors were reclassified.Digital Surface Model (DSM) and Digital Elevation Model (DEM) surfaces were created using ArcPro 2.8 LAS Dataset Geoprocessing Tools at 1 m resolution.Canopy Height Model CHM was determined = Digital Surface Model (DSM) - Digital Elevation Model (DEM).Pits (empty cells inside tree canopies) of 2 pixel (2x1m) were removed using Nibble.An ACT Urban building footprint layer generated from the 2020 LIDAR dataset by Aerometrex was used to remove spurious canopy portions from building roof areas in the urban area.An NDVI layer from pan-sharpened Pleiades multispectral satellite imagery, acquired in April 2019 (the Uriarra area) and November 2019 (rest of Urban Area) was used to delete erroneous non-vegetative surfaces in urban areas.Canopy holes <=1m2 were filled by Eliminate tool.GDA2020 MGA Zone 55.Tree canopy lower than 3m were removed. Converted to a binary raster, then converted to vector.Other available datasets: ACT 2020 Canopy Height Model (raster), ACT Trees (Individual Delineated Trees with Height) (vector), DEM, DSM, Contours, Building Footprints (© Australian Capital Territory & Aerometrex Limited), ACT Permeability, shrub cover - contact spatialdata@act.gov.au. Full LAS Tile sets can also be obtained in the following vertical datums: GDA2020 ellipsoidal, AHD, AVWS - see https://elevation.fsdf.org.au/. Other derivative products (including other canopy products) are available on request or through the ACT Geospatial Data Catalogue.Road, Block and Division Canopy 2020 Statistics also available here: https://actmapi-actgov.opendata.arcgis.com/maps/act-canopy-cover-2020-statistics/aboutCaveats:1. Please note that most (if not all) CHM-based tree delineation results should be thought of as "tree-approximate objects", and not actual trees. 2. Although every effort was made to remove any erroneous polygons (such as street lights, back yard fences and powerlines), there are likely to be some errors remaining.Creative Commons by Attribution (CCBY) 4.0 (Australian Capital Territory). Any sharing, adaption/transformation and value adding, including commercial use should be attributed to ACT Government (Australian Capital Territory). This dataset has been created from the original LiDAR capture and classification © Australian Capital Territory & Aerometrex Limited 2020.How to cite this data: ACT Government (2020) (Botha, H). ACT Canopy Cover 1m 2020. Environment, Planning and Sustainable Development Directorate (EPSDD), ACT Government. Canberra, ACT. Accessed via ACT Geospatial Data Catalogue.