City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq 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 Austin Development Services Data Disclaimer: The data provided are for informational use only and may differ from official department data. Austin Development Services’ database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. Austin Development Services does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.

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 data set includes the total number of trees planted or distributed by the City of Austin from 2015 through 2020. Total number of trees has been adjusted for different caliper sized trees. One tree in the data set is the equivalent of one 5-gallon tree.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq 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

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq This dataset was created by the City of Austin to compile information regarding all issued Tree Permit folders in AMANDA. The dataset contains information regarding the species, condition, and trunk diameter of the tree. It also includes geographic information like Council District and Jurisdiction Type. These permits are created throughout various review process at the City of Austin. The point dataset contains information regarding active tree permits that were created throughout the City of Austin's review process. Information in this dataset has been retrieved from the City's Application MANagement and Data Automation (AMANDA) database. The dataset contains information on location, permit type, date of issue/expiration, heritage status, species, trunk diameter, condition, reason for request, council district, jurisdiction, associated fee, link to permit, and more.

Survey conducted in 2013 of all trees and vacant planting sites in the right of way and all trees of heritage species greater than or equal to 19 inches on private and city of Austin owned property in the central business district.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq The City of Austin’s Community Tree Priority Map (formerly Planting Prioritization) serves as a decision support tool to determine where to focus forestry activities in Austin, Texas. This map shows U.S. Census tracts (2010) containing tabular data related to community forestry priorities determined by the Community Tree Preservation Division’s Urban Forest Program. Prioritization is determined through the priority score. This score combines nine measures normalized and summarized into four broad categories. The score is aggregated at the neighborhood (U.S. Census tract) level. Scores can range from 0 to 100 with higher scores meaning a higher need for community forestry activities to achieve more equitable canopy distribution. Finally, the priority level provides a categorical representation of the data for a simplified view. Priority Score = ( Σ Natural Environment + Σ Social Vulnerability + Σ Community Investment + Σ Health & Well-Being ) / 4 This map was updated in 2020. Minor updates are made as-needed with a review and data update scheduled for 2025 (every 5 years). Ultimately, this map is used to aggregate Urban Forest Grant/Portal projects and tree planting/distribution data to assess program performance. This dataset is intended to be downloaded as a GIS Shapefile but may also be viewed in Excel. It's also available in ArcGIS Online at https://austin.maps.arcgis.com/home/item.html?id=7d7c5260e60c4f8ab811d2c5fda6c40f Austin Development Services Data Disclaimer: The data provided are for informational use only and may differ from official department data. Austin Development Services’ database is continuously updated, so reports run at different times may produce different results. Care should be taken when comparing against other reports as different data collection methods and different data sources may have been used. Austin Development Services does not assume any liability for any decision made or action taken or not taken by the recipient in reliance upon any information or data provided.

This dataset provides information about the number of properties, residents, and average property values for Tree Bend Cove cross streets in Austin, TX.

This story page comprises information related tree planting and distribution of trees throughout Austin.

This dataset provides information about the number of properties, residents, and average property values for Tree Fern Lane cross streets in Austin, TX.

This dataset provides information about the number of properties, residents, and average property values for Indian Tree Trail cross streets in Austin, TX.

City of Austin Open Data Terms of Use https://data.austintexas.gov/stories/s/ranj-cccq

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.

Data and Map Disclaimer:

These products are for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. They do not represent an on-the-ground survey and represent only the approximate relative location of property boundaries. These products have 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 EnviroAtlas dataset categorizes forest land cover into structural elements (e.g. core, edge, connector, etc.). In this community, Forest is defined as Trees & Forest (Trees & Forest - 40 = 1; All Else = 0). Water was considered background (value 129) during the analysis to create this dataset, however it has been converted into value 10 to distinguish it from land area background. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

Date of Publication: 07/21/2021Name of Person Responsible: Alan HalterDate to be removed/updated: Ongoing updates. Last updated on 07/21/2021.This map includes the variables used to calculate Tree Equity Scores for Austin, Texas. For more information, contact the original data author, American Forests. Layer colors are HEX F99D3E (orange) to 6CC396 (green).A Tree Equity Score is a metric that helps cities assess how well they are delivering equitable tree canopy cover to all residents. The score combines measures of tree canopy cover need and priority for trees in urban neighborhoods (defined as Census Block Groups). It is derived from tree canopy cover, climate, demographic and socioeconomic data. Geographies represent selected Census blockgroups for Caldwell, Hays, Travis, and Williamson counties. They cover the Census "urbanized area" for Austin and might not represent the full City of Austin jurisdiction.The score is calculated at the neighborhood (block group) level.Methodology (For more information about methodology, visit https://treeequityscore.org/methodology/ )Step 1: A Neighborhood GoalDensity Adjusted Canopy TargetThe canopy target – which is meant to be equitable, aspirational and achievable – requires the following data:Tree canopy cover. High resolution tree canopy where available, the National Land Cover Database where it is not.Census American Community Survey (ACS) 2018 5-year Block Group population estimatesCensus ACS 2018 5-year city and block group Median Income estimatesTo identify a baseline canopy target, we use generalized natural biome baseline targets selected in conjunction with the USDA Forest Service. We select the baseline target based on the location of the municipality.Forest: 40%Grassland: 20%Desert: 15%This target is then adjusted based on population density to estimate a neighborhood goal. Based on research completed by The Nature Conservancy, adjustments are made using the following table:Adjusting for population density makes for more achievable targets, while recognizing differences in plantable areas suitable for tree canopy. Note: Neighborhood goals are capped at 150% of the natural biome baseline target.The formula for each neighborhood goal, GOAL, is as follows:GOAL = Baseline target * Density adjustment factorStep 2: The Canopy GapThe neighborhood canopy gap, GAP, is calculated by subtracting the existing neighborhood canopy from the density adjusted target, that is: GAP = GOAL – EC, where EC is % existing canopy for that neighborhoodThe canopy Gap is then normalized to a score from 0-100.GAPScore = 100 * GAP / GAPmax , where:GAPmax is the maximum GAP value citywide for that indicator; andNotes: If the GAP is negative (i.e. Existing canopy is greater than the neighborhood goal), it is adjusted to 0 before normalizing to create the gap score. Also, if Gapmax = 0, then GapScore is set to 0 as well.Step 3: The Priority IndexThe Priority Index is developed to help prioritize the need for planting to achieve Tree Equity. The priority index includes the following equally-weighted characteristics:Income: Percentage of population below 200% of povertyEmployment: Unemployment rateRace: Percentage of people who are not white non-HispanicAge: Ratio of seniors and children to working-age adultsClimate: Urban Heat Island severityHealth: Prevalence of poor mental, physical, respiratory, and cardiac health (composite index)These measures are normalized and combined to create a simple priority index from 0 to 1, where 1 indicates a greater amount of inequity. The indices, N, are calculated as follows:Ni = (xi - xi,min ) / (xi,max - xi,min) , where, for each indicator, Ni,xi is the value for that neighborhood for that indicator, i;xi,max is the maximum value citywide for that indicator, i; andxi,min is the minimum value citywide for that indicator, i.The Priority index, E, is then calculated as follows: E = (N1 + N2 + N3 + N4 + N5 + N6) / 6 , where Ni refers to each indicator value (income, employment, race, age, or climate)Step 4: Tree Equity ScoreTree Equity Score, TES, is calculated by multiplying the Baseline Gap Score by the Priority Index, simply:TES = 100 (1 - GAPScore E)A lower Tree Equity Score indicates a greater priority for closing the tree canopy gap.Tree equity scores of 100 indicate tree equity has been achieved.Data Dictionarygeoid: the blockgroup idtotal_pop: the total population of the block groupstate: the state the blockgroup is incounty: the county the blockgroup is inpctpov: the percent of people in poverty inside the blockgrouppctpoc: the percent of people of color inside the block groupunemplrate: the unemployment rate inside of the block groupmedhhinc: the median household income of the block groupdep_ratio: the dependency ratio (childrens + seniors / 18-64 adults)child_perc: the percent of children inside of the blockgroupseniorperc: the percent of seniors inside of the blockgrouparea: the area of the blockgroup in square kilometerssource: the source of the tree canopy of the block groupavg_temp: the average temperature of the blockgroup on a hot summer's dayua_name: the urbanized area the block group is located insideincorpname: the incorporated place the block group is located insidecongressio: the congressional district of the block groupbgpopdense: the density of the blockgroup (total population over area)popadjust: the population adjustment factor (based on the population density)biome: the biome of the blockgroupbaselinecanopy: baseline tree canopy target generalized to natural biome (percent)treecanopy: the tree canopy percentage of the blockgroup (set to negative 1 if the source is 'ED')tc_gap: the tree canopy gap of the block group (goal minus canopy)tc_goal: the tree canopy goal of the block group (set to negative 1 if the source is 'ED')phys_hlth: the self reported physical health challenges of the people in the block group (a percentage)ment_hlth: the self reported mental health challenges of people in the block group (a percentage)asthma: the self reported asthma challenges of people in the block group (a percentage)core_m: the self reported male coronary heart challenges of people in the block group (a percentage)core_w: the self reported female coronary heart challenges of people in the block group (a percentage)core_norm: the normalized total coronary challenges of people in the block grouphealthnorm: the normalized health index of the block grouppriority: the priority index of the block grouptes: the tree equity score of the block grouptesctyscor: the tree equity score of the incorporated place/municipality of the block group

This layer will be deprecated end of 2025 and replaced with the Tree Equity Score from American Forests. Date of Publication: 10/23/2020Name of Person Responsible: Alan HalterDate to be removed/updated: Ongoing updates. Last updated on 07/31/2023.Also available for download through the City of Austin's Open Data Portal: https://data.austintexas.gov/Locations-and-Maps/Community_Tree_Priority_Map/ugty-5b95Note: there is an older version of this layer for 2015 which is deprecated and should only be used for historical reference.Note: this layer has been updated with 2020 Census population data and tree canopy data for years 2022, 2018, and 2017 in fields "TOTAL_POPULATION_CENSUS_2020", "PERCENT_CANOPY_2022", "PERCENT_CANOPY_2018", and "PERCENT_CANOPY_2017_LIDAR" respectively.This map shows U.S. Census tracts (2010) containing tabular data related to community forestry priorities determined by the City of Austin Climate Action & Resilience. Prioritization is determined through the attribute field, “PRIORITY_SCORE_2020” aka the “Priority Score.” This score combines nine measures normalized and summarized into four broad categories outlined below. The score is aggregated at the neighborhood (U.S. Census tract) level. Scores can range from 0 to 100 with higher scores meaning a higher need for community forestry activities to achieve more equitable canopy distribution.Priority Score = ( Σ Natural Environment + Σ Social Vulnerability + Σ Community Investment + Σ Health & Well-Being ) / 4(+) means a measure was maximized – the higher the measure, the higher the priority. For example, we want to plant trees where there are high chances of flooding events.(-) means a measure was reversed – the lower the measure, the higher the priority. For example, we want to plant trees in neighborhoods with lower % tree canopy. Data normalization method was Min-Max Feature Scaling method: Natural Environment(-) Tree Canopy: % of land area covered in tree canopy (2014, City of Austin, Watershed Protection Department). Note: the layer has been updated with new tree canopy data in the "PERCENT_CANOPY_2022" and "PERCENT_CANOPY_2018" fields.(+) Flooding: % of land area covered in floodplains (City of Austin, Watershed Protection Department)(+) Urban Heat Island: mean maximum land surface temperature observed between 2018-2020 (USGS/NASA Landsat 8, Climate Engine)Social Vulnerability(+) Social Vulnerability Index: a community’s sensitivity to hazards and ability to recover from them. Includes measures of wealth, race, gender, and language (Austin Area Sustainability Indicators, University of Texas). More info here https://www.austinindicators.org/project/climate-and-community-resilience/ Community Investment(-) Urban Forest Funding: dollar amount of funding provided to a neighborhood through the Urban Forest Program’s Urban Forest Grant and Funding Portal (City of Austin, Tree Division)(-) Tree Plantings: count of trees distributed per square mile (City of Austin, Tree Division). Only inclusive of contracted tree plantings through NeighborWoods, Ready Set Plant, and Austin Community Tree programs. Health & Well-Being(+) Physical Health: % of survey respondents self-reporting poor physical health (CDC 500 Cities, BRFSS)(+) Mental Health: % of survey respondents self-reporting poor mental health (CDC 500 Cities, BRFSS)(+) Air Quality: total projected roadway emissions for 2035 (Capital Area Metropolitan Planning Organization). Reported in lbs. per road mile. “Need” was determined by academic literature, programmatic interests, stakeholder feedback, and most importantly, youth engagement from the Youth Forest Council and Park Ranger Cadet program. Measures were weighted equally. Future applications will allow users to weight measures according to personal priorities. Layer production followed the U.S. Forest Service framework for urban tree canopy prioritization. More info at https://www.nrs.fs.fed.us/urban/utc/

This EnviroAtlas dataset addresses the tree buffer along heavily traveled roads. The roads are interstates, arterials, and collectors within the EnviroAtlas community boundary. Forest is defined as Trees & Forest. Sufficient tree bufferage is defined as 25% coverage within the circular moving window with a radius of 14.5m at any given point along the roadway. There are potential negative health effects for those living in a _location without a sufficient tree buffer. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This dataset provides information about the number of properties, residents, and average property values for Twisted Tree Cove cross streets in Austin, TX.

This dataset provides information about the number of properties, residents, and average property values for Sun Tree Cove cross streets in Austin, TX.

This dataset provides information about the number of properties, residents, and average property values for Shade Tree Drive cross streets in Austin, TX.

This EnviroAtlas dataset shows the total block group population and the percentage of the block group population that has little access to potential window views of trees at home. Having little potential access to window views of trees is defined as having no trees & forest land cover within 50 meters. The window views are considered "potential" because the procedure does not account for presence or directionality of windows in one's home. Forest is defined as Trees & Forest. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).