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City dataMaps & Geospatial
Existing Tree Canopy %
Published by City of Seattle · Updated 06/29/2023
- Last updated
- 06/29/2023
- First published 06/28/2023
- Update frequency
- Not listed
- Formats
- 5
- CSV, GeoJSON, KML
- Coverage
- Seattle
- City in Washington
About this dataset
This data layer references data from a high-resolution tree canopy change-detection layer for Seattle, Washington. Tree canopy change was mapped by using remotely sensed data from two time periods (2016 and 2021). Tree canopy was assigned to three classes: 1) no change, 2) gain, and 3) loss. No change represents tree canopy that remained the same from one time period to the next. Gain represents tree canopy that increased or was newly added, from one time period to the next. Loss represents the tree canopy that was removed from one time period to the next. Mapping was carried out using an approach that integrated automated feature extraction with manual edits. Care was taken to ensure that changes to the tree canopy were due to actual change in the land cover as opposed to differences in the remotely sensed data stemming from lighting conditions or image parallax. Direct comparison was possible because land-cover maps from both time periods were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). 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. No accuracy assessment was conducted, but the dataset was subjected to manual review and correction.
University of Vermont Spatial Analysis Laboratory
The dataset covers the following tree canopy categories:
- Environmental Justice Priority Areas
- Census tracts composite / quintile
- Existing tree canopy percentage & environmental justice priority level
- Existing tree canopy
- Possible tree canopy
- Relative percentage change
For more information, please see the 2021 Tree Canopy Assessment.
Files and access
Links open the official government source
- CSVdata-seattlecitygis.opendata.arcgis.comCSV
- ArcGIS GeoServiceservices.arcgis.comJSON
- GeoJSONdata-seattlecitygis.opendata.arcgis.comGeoJSON
- Shapefiledata-seattlecitygis.opendata.arcgis.comZIP
- KMLdata-seattlecitygis.opendata.arcgis.comKML
- ArcGIS Hub Datasetdata-seattlecitygis.opendata.arcgis.comWeb page
Links open outside websites we do not control.
Frequently asked questions
- Who publishes Existing Tree Canopy %?
- City of Seattle publishes this dataset on Data.gov.
- How often is it updated?
- The publisher does not list a schedule. The last update was on 06/29/2023.
- How do I download it?
- It is available as CSV, JSON, GeoJSON, ZIP, KML. Use the links in Files and access, which open the official government source.
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Where this catalog comes from
- Data.gov CatalogU.S. General Services Administration
- State and local open data portalsSocrata Discovery API
- State and city CKAN portalsCalifornia, Virginia, Boston, Houston and more
- Government ArcGIS Hub sitesCity and county GIS data
Catalog checked 10/24/2026
We list dataset descriptions only. Downloads and APIs link straight to the official government source, which holds the current version and its terms of use.
Source: Data.gov · Last updated 10/24/2026 · Listing only; the data stays with the publisher
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