Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2010 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2006, 2014, and 2018. The NAIP imagery resolution for 2010 is 1m (~3.3 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2018 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2006, 2010, and 2014. The NAIP imagery resolution for 2018 is 60cm (~2 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This is a map depicting tree canopy in Austin, Texas summer of 2022.

This dataset was created to depict approximate tree canopy cover for all land within the City of Austin's "full watershed regulation area." Intended for planning purposes and measuring citywide percent canopy. Definition: Tree canopy is defined as the layer of leaves, branches, and stems of trees that cover the ground when viewed from above. Methods: The 2022 tree canopy layer was derived from satellite imagery (Maxar) and aerial imagery (NAIP). Images were used to extract tree canopy into GIS vector features. First, a “visual recognition engine” generated the vector features. The engine used machine learning algorithms to detect and label image pixels as tree canopy. Then using prior knowledge of feature geometries, more modeling algorithms were used to predict and transform probability maps of labeled pixels into finished vector polygons depicting tree canopy. The resulting features were reviewed and edited through manual interpretation by GIS professionals. When appropriate, NAIP 2022 aerial imagery supplemented satellite images that had cloud cover, and a manual editing process made sure tree canopy represented 2022 conditions. Finally, an independent accuracy assessment was performed by the City of Austin and the Texas A&M Forest Service for quality assurance. GIS professionals assessed agreement between the tree canopy data and its source satellite imagery. An overall accuracy of 98% was found. Only 23 errors were found out of a total 1,000 locations reviewed. These were mostly omission errors (e.g. not including canopy in this dataset when canopy is shown in the satellite or aerial image). Best efforts were made to ensure ground-truth locations contained a tree on the ground. To ensure this, location data were used from City of Austin and Texas A&M Forest Service databases. Analysis: The City of Austin measures tree canopy using the calculation: acres of tree canopy divided by acres of land. The area of interest for the land acres is evaluated at the City of Austin's jurisdiction including Full Purpose, Limited Purpose, and Extraterritorial jurisdictions as of May 2023. New data show, in 2022, tree canopy covered 41% of the total land area within Austin's city limits (using city limit boundaries May 2023 and included in the download as layer name "city_of_austin_2023"). 160,046.50 canopy acres (2022) / 395,037.53 land acres = 40.51% ~41%. This compares to 36% last measured in 2018, and a historical average that’s also hovered around 36%. The time period between 2018 and 2022 saw a 5 percentage point change resulting in over 19K acres of canopy gained (estimated). Data Disclaimer: It's possible changes in percent canopy over the years is due to annexation and improved data methods (e.g. higher resolution imagery, AI, software used, etc.) in addition to actual in changes in tree canopy cover on the ground. For planning purposes only. Dataset does not account for individual trees, tree species nor any metric for tree canopy height. Tree canopy data is provided in vector GIS format housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness. Data Provider: Ecopia AI Tech Corporation and PlanIT Geo, Inc. Data derived from Maxar Technologies, Inc. and USDA NAIP imagery

Tree canopy digitized from aerial images using a supervised image classification method. Aerial images were flown over Austin, TX in 2006 during the "leaf-on" agricultural growing season and are sourced from the U.S. Department of Agriculture's National Agriculture Imagery Program (NAIP). Data are updated every 4 years and each update is provided as a separate dataset. For historical data, search for tree canopy 2010, 2014, and 2018. The NAIP imagery resolution for 2006 is 2m (~6.6 feet). This is 4-band imagery (Red, Green, Blue, and Infrared bands) available in both true color and color-infrared. Tree canopy data is provided in both raster and vector GIS formats housed in a Geodatabase. Download and unzip the folder to get started. Please note, errors may exist in this dataset due to the variation in species composition and land use found across the study area. This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the City of Austin for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

This dataset comprises a list of all urban forest projects that DSD helped to fund across Austin.

This dataset shows point locations of public trees inventoried by the City of Austin as of March 13th, 2020. Data is compiled from various sources: Development Services Department's Tree Division, AISD, Parks and Recreation Department, and Public Works Department's downtown tree inventory (2013). This is not a complete comprehensive inventory of all trees. Some errors and/or duplicate data may exist. For more information on Austin's urban forest, visit the U.S. Forest Service's Urban Forest Inventory and Analysis report: https://www.fs.usda.gov/treesearch/pubs/50393

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).