None available--Additional Information: Category: Parks Purpose: Update Frequency: As needed-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54554

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

This shapefile is the dataset that underlies the historic MillionTreesNYC Adopt-a-Tree web mapping application. For up to date stewardship data see https://data.cityofnewyork.us/Environment/NYC-Street-Tree-Map-Stewardship-Activity/rnnj-5mmi.

This dataset includes Tempe’s tree inventory data and benefits of the trees as calculated by i-Tree Eco in October 2021. The dataset was put together by West Coast Arborists, Inc. (WCA) in 2021.About Tempe's Tree Inventory and i-Tree EcoThis dataset contains the point locations and attributes of trees within City of Tempe and Facilities. The point dataset was originally collected by WCA, Inc. in 2017 and is routinely updated by WCA and the City of Tempe. The attributes used included TreeID, Exact DBH, Height Range, Exact Height, Condition, Botanical Name, Common Name, Latitude, and Longitude. Updates to the Tempe's point layer was made using the results from i-Tree Eco. An i-Tree Eco Analysis was run in September 2021 using i-Tree Eco v6.0.22 and the results were joined based on unique tree ID to Tempe's Tree inventory. The results from i-Tree Eco were added as attributes to the Tempe's Tree inventory. Attributes added were: Structural Value ($), Carbon Storage (lb), Carbon Storage ($), Gross Carbon Sequestration (lb/yr), Gross Carbon Sequestration ($/yr), Avoided Runoff (cubicFT/yr), Avoided Runoff ($/yr), Pollution Removal (oz/yr), Pollution Removal ($/yr) , Total Annual Benefits ($/yr), Height (ft), Canopy Cover (sqft), Tree Condition, Leaf Area (sqft), Leaf Biomass (lb), Leaf Area Index Basal Area (sqft), Cond, i-Tree_ID_BotName, i-Tree_ID_ComName and i-Tree_ID Genus. The exact definitions, meanings, calculations, etc. for the i-Tree Values can be found on i-Tree’s website via the i-Tree Eco User Manual.i-Tree Eco. i-Tree Software Suite v6.x. Web. Fall 2021. https://www.itreetools.orgi-Tree Eco Manual:https://www.itreetools.org/documents/275/EcoV6_UsersManual.2021.09.22.pdfTempe Tree and Shade Coverage (data hub site):https://urbanforestry.tempe.gov/Additional InformationSource: West Coast Arborists, Inc. (WCA) 2021; i-Tree Eco v6 2021Contact: Richard AdkinsContact E-Mail: richard_adkins@tempe.govData Source Type: GPS and Google map data; tables in CVS and Excel formatPreparation Method: Field observations and records of individual trees; value calculations based on i-Tree Eco v6 found at https://www.itreetools.org/support/resources-overview/i-tree-manuals-workbooksPublish Frequency: Every 5 years or as data becomes availablePublish Method: ManualData Dictionary

City of Waterloo managed street tree locations. This dataset contains the location and attributes of street trees, and represents an inventory of street trees maintained by the City of Waterloo.

The locations of right of way trees maintained by the City of Madison Urban Forestry Department. Data is used to coordinate trimming and maintenance of trees as well as aiding in planning public works construction projects. NOTE: Data last updated 03/26/2025Field descriptions are as follows:• Species Common Name – Common species name• Species Scientific Name – Scientific species name• Notes – Tree/Site notes• Inventory Date – Last inventory date• Last Inspection Date – Last inspection date• Site ID – Unique ID for planting site• Growth Space Size – Available growth area around site• Tree Diameter – Diameter breast height (DBH)• Status – Site active yes/no• Treeguard Present – Treeguard present yes/no• Grate Size – Size of grate around tree, if present

Inventory of trees along the designated right-of-way areas within the City of Naperville. This data is maintained by the Naperville Parks Department and is updated regularly.

Detailed information about individual city-owned trees within a defined management area in Hamilton. Includes attributes such as species, diameter at breast height (DBH), and ward location. This dataset supports urban forestry planning, tree maintenance scheduling, environmental assessments, and reporting on canopy coverage or biodiversity.To explore detailed information about individual city-owned trees within Hamilton’s managed urban forest areas - Use the search feature on the map to look up an address and discover whether nearby trees are publicly owned. Click on a tree to view its species, diameter at breast height (DBH) and ward location. The dataset supports urban forestry planning, tree maintenance scheduling, environmental assessments and biodiversity reporting.

Detailed list and map of all public trees located in the City of Winnipeg, including botanical name, common name and precise location. Also available in tabular format here: https://data.winnipeg.ca/Parks/Tree-Inventory/hfwk-jp4h/data

Check out TreePhilly to learn more about how Philadelphia residents can plant and care for trees.View metadata for key information about this dataset.For questions about this dataset, contact chris.park@phila.gov. For technical assistance, email maps@phila.gov.

This map layer represents the individual tree inventory in the City of Bloomington, Indiana. The original data is currently maintained by the Parks Department via the TreeKeeper platform and is republish by the GIS department for public data access.

This layer contains points representing trees located in Johns Creek, GA and the surrounding metro Atlanta area. Data is collected by citizens using the "Map Our Trees" app.To help collect tree locations, download the version of "Map Our Trees

Detailed list and map of all public trees located in the City of Winnipeg, including botanical name, common name and precise location.

Accuracy: Unavailable Update Frequency: As required Contact: GIS Team

-- Additional Information: Category: Parks Purpose: No purpose information available. Update Frequency: Unknown-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=61079

This is a raw data set of the campus tree inventory (csv) and map (ESRI shapefile) of Sangji University, South Korea. Please refer to the SJ Campus Tree Map webpage: https://doi.org/10.23065/felsj.2021.sjctm.01

Inventory about trees in Syracuse. This information is entered by the City of Syracuse Parks & Recreation Forestry staff as well as Cornell Cooperative Extension's CommuniTree Stewards program. Data Dictionary:LabelDefinitionDefinition SourceIDInternal numerical identifier for that tree site.Parks and Rec. DepartmentADDRESSThe number of the street home number that is closest to this tree.Parks and Rec. DepartmentSTREETThe street that this tree is located on.Parks and Rec. DepartmentAREAThe area of the city that this tree is located in. This is using the neighborhoods map of the City.Parks and Rec. DepartmentSPP_COMThe species of tree, in the common English name.Parks and Rec. DepartmentSPP_BOTThe latin or botanical name of the tree.Parks and Rec. DepartmentDBHDiameter at breast height, or DBH, is the standard for measuring trees. DBH refers to the tree diameter measured at 4.5 feet above the ground.Parks and Rec. DepartmentPLANTDATEThe season and year that this tree was planted in, if known. If it is not known, this may be listed as either "N/A" or "To Be Determined".Parks and Rec. DepartmentCENSUSTRACThe Census Tract that the tree is in.Parks and Rec. DepartmentARPAWhether or not this tree was planted with American Rescue Plan Act (ARPA) funds.Parks and Rec. DepartmentLATITUDEThe latitude where the tree is located at.Parks and Rec. DepartmentLONGITUDEThe longitude where the is is located at.Parks and Rec. DepartmentDataset Contact Information:Organization: Department of Parks & RecreationPosition:Data Program ManagerCity:Syracuse, NYE-Mail Address:opendata@syrgov.net

City of Tallahassee Tree Inventory. Includes downtown tree inventory and canopy road tree inventory within COT's jurisdiction. The trees in this layer are maintained as assets in Cityworks.

Inventory of Street Trees

This data publication contains a set of 30m resolution raster files representing 2020 Canadian wall-to-wall maps of broad land cover type, forest canopy height, degree of crown closure and aboveground tree biomass, along with species composition of several major tree species. The Spatialized CAnadian National Forest Inventory data product (SCANFI) was developed using the newly updated National Forest Inventory photo-plot dataset, which consists of a regular sample grid of photo-interpreted high-resolution imagery covering all of Canada’s non-arctic landmass. SCANFI was produced using temporally harmonized summer and winter Landsat spectral imagery along with hundreds of tile-level regional models based on a novel k-nearest neighbours and random forest imputation method. A full description of all methods and validation analyses can be found in Guindon et al. (2024). As the Arctic ecozones are outside NFI’s covered areas, the vegetation attributes in these regions were predicted using a single random forest model. The vegetation attributes in these arctic areas could not be rigorously validated. The raster file « SCANFI_aux_arcticExtrapolationArea.tif » identifies these zones. SCANFI is not meant to replace nor ignore provincial inventories which could include better and more regularly updated inputs, training data and local knowledge. Instead, SCANFI was developed to provide a current, spatially-explicit estimate of forest attributes, using a consistent data source and methodology across all provincial boundaries and territories. SCANFI is the first coherent 30m Canadian wall-to-wall map of tree structure and species composition and opens novel opportunities for a plethora of studies in a number of areas, such as forest economics, fire science and ecology. # Limitations 1- The spectral disturbances of some areas disturbed by pests are not comprehensively represented in the training set, thus making it impossible to predict all defoliation cases. One such area, severely impacted by the recent eastern spruce budworm outbreak, is located on the North Shore of the St-Lawrence River. These forests are misrepresented in our training data, there is therefore an imprecision in our estimates. 2- Attributes of open stand classes, namely shrub, herbs, rock and bryoid, are more difficult to estimate through the photointerpretation of aerial images. Therefore, these estimates could be less reliable than the forest attribute estimates. 3- As reported in the manuscript, the uncertainty of tree species cover predictions is relatively high. This is particularly true for less abundant tree species, such as ponderosa pine and tamarack. The tree species layers are therefore suitable for regional and coarser scale studies. Also, the broadleaf proportion are slightly underestimated in this product version. 4- Our validation indicates that the areas in Yukon exhibit a notably lower R2 value. Consequently, estimates within these regions are less dependable. 5- Urban areas and roads are classified as rock, according to the 2020 Agriculture and Agri-Food Canada land-use classification map. Even though those areas contain mostly buildings and infrastructure, they may also contain trees. Forested urban parks are usually classified as forested areas. Vegetation attributes are also predicted for forested areas in agricultural regions. Updates of this dataset will eventually be available on this metadata page. # Details on the product development and validation can be found in the following publication: Guindon, L., Manka, F., Correia, D.L.P., Villemaire, P., Smiley, B., Bernier, P., Gauthier, S., Beaudoin, A., Boucher, J., and Boulanger, Y. 2024. A new approach for Spatializing the Canadian National Forest Inventory (SCANFI) using Landsat dense time series. Can. J. For. Res. https://doi.org/10.1139/cjfr-2023-0118 # Please cite this dataset as: Guindon L., Villemaire P., Correia D.L.P., Manka F., Lacarte S., Smiley B. 2023. SCANFI: Spatialized CAnadian National Forest Inventory data product. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada. https://doi.org/10.23687/18e6a919-53fd-41ce-b4e2-44a9707c52dc # The following raster layers are available: • NFI land cover class values: Land cover classes include Water, Rock, Bryoid, Herbs, Shrub, Treed broadleaf, Treed mixed and Treed conifer • Aboveground tree biomass (tonnes/ha): biomass was derived from total merchantable volume estimates produced by provincial agencies • Height (meters): vegetation height • Crown closure (%): percentage of pixel covered by the tree canopy • Tree species cover (%): estimated as the proportion of the canopy covered by each tree species: o Balsam fir tree cover in percentage (Abies balsamea) o Black spruce tree cover in percentage (Picea mariana) o Douglas fir tree cover in percentage (Pseudotsuga menziesii) o Jack pine tree cover in percentage (Pinus banksiana) o Lodgepole pine tree cover in percentage (Pinus contorta) o Ponderosa pine tree cover in percentage (Pinus ponderosa) o Tamarack tree cover in percentage (Larix laricina) o White and red pine tree cover in percentage (Pinus strobus and Pinus resinosa) o Broadleaf tree cover in percentage (PrcB) o Other coniferous tree cover in percentage (PrcC)