This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8499, 47.1599, -121.7311, 47.2637 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:58:04.889Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/68", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=68", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=68", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=68", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=68", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ff47e4f12acd4ec2b004af59fde756db", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::potential-landslide-hazard-areas-2016" }, "title": "Potential landslide hazard areas 2016", "purpose": "Potential landslide hazard areas in unincorporated King County. Provided to counsel residents on the possible need for further investigations, such as prior to a proposal for new development.", "description": "For more information about this layer please see the GIS Data Catalog.Area-wide modeled near-surface heat index for 6-7 am on\nJuly 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.
Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2021-04-27T21:15:33.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/282699bddbff4203bbe1312ff289cd92/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-morning-heat-index", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=2e8e47e624274258afe43b93cec9585c", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::cities-and-unincorporated-king-county" }, "title": "Cities and Unincorporated King County", "purpose": "To document areas incorporated and unicorporated in King County.", "description": "For more information about this layer please see the GIS Data Catalog.This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9705, 47.1588, -121.8519, 47.2627 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:59:31.787Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/69", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=69", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=69", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=69", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=69", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=203f285e0db44975abc96940345f1454", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::parcels-with-address-property-and-ownership-information-public" }, "title": "Parcels with Address Property and Ownership Information (Public)", "purpose": "Provide an external GIS based source of address, property, and owner information to the King County integrated permitting system. This layer was designed to meet the specific needs of the Permit Integration implementation team. A secondary benefit of the production of this layer is to supply a combination of parcel number and address information that is updated regularly and benefits from the continuous maintenance of parcels by the Dept. of Assessments and of addresses by the E-911 Program Office. It is important to note that not all parcels have structures with assigned addressed, and that some parcels have multiple addresses. In the later case this layer provides only one address for each parcel, and that address is determined by the database structure.", "description": "For more information about this layer please see the GIS Data Catalog.Area-wide modeled near-surface temperature for 7-8 pm on July 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.
Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [ "Environment", "Weather and climate", "Temperature" ], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2023-05-12T22:14:33.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/4b1863b58f9a4aa98f3eb4e95299cff2/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-evening-temperature", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=4ee6275c3f0e480883fcec9922d5eada", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::look-up-decode-table-for-address-point-sitetype-item" }, "title": "Look Up (Decode) table for ADDRESS POINT sitetype ITEM", "purpose": "Decodes 2 character code in ADDRESS_POINT SITETYPE to literal description of type", "description": "For more information about this layer please see the GIS Data Catalog.This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.104, 47.692, -121.984, 47.7755 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:10:12.271Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/7", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=7", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=7", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=7", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=7", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=ffa4f8bd65f444fd9ea4c53a205f52a9", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::noxious-weeds-program-infestations" }, "title": "Noxious Weeds Program Infestations", "purpose": "This dataset shows both active and non-active noxious weed infestations in King County, Washington. It includes locations where invasive plant species regulated by the County have been found, regardless of whether the infestation is currently present, under control, or eradicated.", "description": "For more information about this layer please see the GIS Data Catalog.Area-wide modeled near-surface temperature for 6-7 am on July 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.
Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [ "Environment", "Weather and climate", "Temperature" ], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2023-05-12T22:00:18.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/7f612e047fda4bb9ac14f09f44ffdd5d/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-morning-temperature", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=804063d7aa764d1fa6e3eb866e413810", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::2010-census-tracts-for-king-county-conflated-to-parcels-major-waterbodies-erased" }, "title": "2010 Census Tracts for King County - Conflated to Parcels - Major Waterbodies Erased", "purpose": "In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.", "description": "For more information about this layer please see the GIS Data Catalog.This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.1523, 47.1979, -122.0935, 47.2603 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:59:55.496Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/71", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=71", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=71", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=71", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=71", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=72", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r12tree-point" }, "title": "t19r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3371, 47.1222, -121.3075, 47.1841 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:00:10.249Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/72", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=72", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=72", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=72", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=72", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=73", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r11tree-point" }, "title": "t19r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.4571, 47.0805, -121.3374, 47.1634 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:01:19.110Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/73", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=73", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=73", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=73", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=73", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=74", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r10tree-point" }, "title": "t19r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.5775, 47.0844, -121.458, 47.1628 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:02:23.770Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r10tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/74", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=74", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=74", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=74", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=74", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=75", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r09tree-point" }, "title": "t19r09tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8495, 47.1393, -121.7293, 47.1609 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:03:07.445Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/76", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=76", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=76", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=76", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=76", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=77", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r07tree-point" }, "title": "t19r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.97, 47.1382, -121.8499, 47.1599 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:03:24.240Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/77", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=77", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=77", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=77", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=77", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=78", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r06tree-point" }, "title": "t19r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9986, 47.146, -121.9705, 47.1588 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T21:03:25.366Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t19r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/78", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=78", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=78", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=78", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=78", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=8", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r05tree-point" }, "title": "t26r05tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2258, 47.6906, -122.1061, 47.7782 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:10:43.490Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/8", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=8", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=8", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=8", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=8", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=89", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r13tree-point" }, "title": "t24r13tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.2801, 47.5131, -121.129, 47.6164 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:20:16.083Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r13tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/89", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=89", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=89", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=89", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=89", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=9", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r04tree-point" }, "title": "t26r04tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.3475, 47.689, -122.2281, 47.7793 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:11:07.644Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r04tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/9", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=9", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=9", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=9", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=9", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=94", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::tree-point-index" }, "title": "Tree Point Index", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.5404, 47.0693, -121.069, 47.8016 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:01:38.176Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::tree-point-index", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/94", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=94", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=94", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=94", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=94", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=96", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r08tree-point" }, "title": "t25r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8283, 47.6125, -121.7081, 47.6957 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:17:13.442Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/96", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=96", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=96", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=96", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=96", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d09395dab84a4c36a06e92af671ccaa1", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::king-county-nwi-wetlands-with-llww-hgm-and-function-attributes" }, "title": "King County NWI Wetlands with LLWW, HGM and Function Attributes", "purpose": "King County’s National Wetlands Inventory (NWI) dataset is a localized version of the U.S. Fish and Wildlife Service’s national wetland mapping effort. These maps were created in 2024 using geospatial methods to show wetland type and extent within King County. There is no attempt to define the limits of proprietary jurisdiction of any federal, state, or local government, or to establish the geographical scope of the regulatory programs of government agencies. The purpose of these maps is to support conservation, land-use planning, and environmental management by local agencies, natural resource manager, businesses and property owners. \n\nThis wetland mapping project was funded by the King County Water and Land Services, Ecological Restoration and Engineering Services Unit, as part of a Best Available Science update. Wetlands within the King County boundary were mapped and classified, and reviewed by King County team members and National Wetland Inventory Staff. Wetlands were mapped and classified using: the National Wetlands Inventory (NWI) classification system (Cowardin et al., 1979) and the Landscape Position, Landform, Water Flow Path, and Water Body Type (LLWW) classification developed for the Western U.S. (Lemly et al. 2018).\n\nThe main objective for this project was to improve the knowledge of wetland extent and value within King County. In all, more than approximately 6,600 square miles of land comprise the county. King County contracted with Geospatial Services (GSS) at Saint Mary's University of Minnesota to create of high-quality National Wetlands Inventory Plus (NWIPlus) level mapping for the county. Program staff will conduct some ground truthing of data. NWIPlus is an enhanced NWI product with hydrogeomorphic-type descriptors that can facilitate predicting wetland functions. The enhanced attributes describe wetland landform, water flow path and water body type. The updated mapping will be utilized by developers and landowners to avoid wetland impacts, and may be incorporated into other GIS models whi", "description": "For more information about this layer please see the GIS Data Catalog.This data layer describes the 2012 Congressional Districts after redistricting due to the 2010 census. These boundaries were in effect from 2012 – 2021. It shows the districts exclusive of major water bodies.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
Depicts boundaries of the Washington State legislative districts in King County after the 2000 census and 2002 redistricting.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2022 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results
This data layer describes the 1992 King County Council Districts after redistricting. It shows the districts exclusive of major water bodies and includes contact information for each council member.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2022 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
Depicts the boundaries of the Washington State Congressional Districts within King County, reflecting updates based on the 2002 redistricting of Washington state.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
This data layer describes the 2012 King County Council Districts after redistricting due to the 2010 census. These boundaries were in effect from 2012 – 2021. It shows the districts exclusive of major water bodies and includes contact information for each of the 9 council members.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
Depicts the boundaries of the US Congressional Districts within King County, reflecting updates based on the 1992 redistricting of Washington State.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
This data layer describes the 2002 King County Council Districts after redistricting. It shows the districts exclusive of major water bodies and includes contact information for each council member.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
This data layer describes the 2022 Legislative Districts after redistricting due to the 2020 census. These boundaries were in effect from 2022 – 2023. It shows the districts exclusive of major water bodies.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2022 redistricting, the annual precinct balancing project in the spring of each year, and 2024 Remedial Map 3B. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
This data layer describes the 2012 Legislative Districts after redistricting due to the 2010 census. These boundaries were in effect from 2012 – 2021. It shows the districts exclusive of major water bodies.
Depicts boundaries of the Washington State legislative districts in King County after the 1990 census and 1992 redistricting.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2012 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects precinct boundary changes due the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
The data was created for precinct analysis and display, and reflects the precinct boundary changes due to 2002 redistricting and/or the annual precinct balancing project in the spring of each year. Data can be joined with election results in e-canvass to map election results.
This data layer describes the 2005 King County Council Districts after redistricting from 13 districts to 9. It shows the districts exclusive of major water bodies and includes contact information for each council member.
Table that stores unique names for links in TNET
Points that represent all modes for each Transportation Link.
This data is a GIS Center value-added derivative of the parcel extract table from the Assessor's Office. The Assessor's Office does not consider this data to be authoritative, as it is a product of the GIS Center. The GIS Center renames the following fields to prevent naming conflicts in our internal database. RANGE is renamed to PLSSRNG, TOWNSHIP is renamed to PLSSTWN, SECTION is renamed to PLSSSCTN, and AREA is renamed to APPRAREA. The unique parcel identifier field PIN is added from the concatenation of MAJOR and MINOR numbers. This dataset is updated on a weekly basis. Please visit the Assessor's website for authoritative data.
https://info.kingcounty.gov/assessor/DataDownload/default.aspx
Area-wide modeled near-surface temperature for 3-4 pm on July 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.
Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [ "Environment", "Weather and climate", "Temperature" ], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2023-05-12T21:52:45.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/94bc7b448583464996bc230d76976397/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-afternoon-temperature", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=9a3115edd7cf40efb6c631d0cce19da1", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::transfer-development-right-program-sending-site-properties" }, "title": "Transfer Development Right Program Sending Site Properties", "purpose": "To display location of all TDR sending sites in King County, and provide information about the sites.", "description": "For more information about this layer please see the GIS Data Catalog.Area-wide modeled near-surface heat index for 7-8 pm on\nJuly 27, 2020, based on temperature and humidity data collected for a one-day heat mapping project conducted by King County, Seattle Public Utilities, and the City of Seattle. Data collected on July 27, 2020 in partnership with project volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was created from multi-band land cover rasters from Sentinel-2 satellite and raw heat data from sensor SD cards using the 70:30 holdout method.
Heat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More information on the project available in Heat Watch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [ "Environment", "Weather and climate", "Temperature" ], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2021-04-27T23:30:41.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/bf022429473343bdae548c7d5b1c9a0e/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-evening-heat-index", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d2624cb7b876409aa6c229040cb6a475", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::lci-opportunity-area-metrics" }, "title": "LCI Opportunity Area Metrics", "purpose": "Full parcel metrics used for the Land Conservation Initiative (LCI) opportunity area analysis, including relevant demographic, health, and environmental criteria. Dataset produced September 2024.", "description": "For more information about this layer please see the GIS Data Catalog.Area-wide modeled near-surface heat index for 3-4 pm on\nJuly 27, 2020, based on temperature and humidity data collected for a one-day\nheat mapping project conducted by King County, Seattle Public Utilities, and\nthe City of Seattle. Data collected on July 27, 2020 in partnership with\nproject volunteers and CAPA Strategies. Data analysis and maps produced by CAPA strategies. This predictive temperature model was\ncreated from multi-band land cover rasters from Sentinel-2 satellite and raw\nheat data from sensor SD cards using the 70:30 holdout method.
\n\nHeat maps also available for 6-7 am and 7-8 pm. Results can be viewed using this ArcGIS web app viewer. More\ninformation on the project available in Heat\nWatch Report for Seattle & King County. Contact CAPA Strategies for questions on the data, maps, and data analysis methods.
", "keyword": [ "King County", "climate change", "temperature_opendata", "Temperature", "Urban Heat" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "rights": [ "" ], "subject": [ "Environment", "Weather and climate", "Temperature" ], "language": [ "en" ], "modified": "2026-08-03T21:09:47.000Z", "issued": "2021-04-27T17:53:11.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/f01fa6d174b1454688aa461be83feaf4/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/documents/kingcounty::urban-heat-mapping-afternoon-heat-index", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=f322389afeb0489a85346170d8b80cd7", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::2020-census-state-redistricting-data-voting-age-population-and-housing-status-for-blocks" }, "title": "2020 Census State Redistricting Data - Voting Age Population and Housing Status for Blocks", "purpose": "2020 Census State Redistricting Data (Public Law 94-171) Summary File Data Segment 2, tables P3, P4, & H1. This product contains summary statistics on (P3) Race for the Population 18 Years and Over, (P4) Hispanic or Latino, and Not Hispanic or Latino by Race for the Population 18 Years and Over, and (H1) Housing Units Occupancy Status related to Census Blocks.", "description": "For more information about this layer please see the GIS Data Catalog.Lookup table from city jurisdiction codes to common city names and URLs for main city web page. This table is used to populate the cityname field in the CITY_KC_AREA feature class. Useful to decode the common city name of the two letter jurisdiction code used in multiple King County data sources. Also includes web page addresses for the main page of each city. Historically both 'NC' and 'NE' have been used for Newcastle so both are present in the lookup table.
The data will help policymakers, developers, and community members understand where inclusionary housing policies currently apply in unincorporated King County. The purpose of the inclusionary housing policy is to provide for the creation of new affordable dwelling units in unincorporated King County, particularly in areas where there is a high risk for displacement and need for affordable housing. The data identifies areas where new residential development are required or incentivized to provide income-restricted affordable housing units. King County Code 21A.48 contains inclusionary housing policy details, including developer incentives for the voluntary inclusionary housing policy.
The data will help policymakers, developers, and community members understand where inclusionary housing policies currently apply in unincorporated King County. The purpose of the inclusionary housing policy is to provide for the creation of new affordable dwelling units in unincorporated King County, particularly in areas where there is a high risk for displacement and need for affordable housing. The data identifies areas where new residential development are required or incentivized to provide income-restricted affordable housing units. King County Code 21A.48 contains inclusionary housing policy details, including developer incentives for the voluntary inclusionary housing policy.
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
Use Constraint: King County data are made available with the understanding that they shall be used exclusively by the obtainer or their authorized agents. Digital products may not be reproduced or redistributed in any form or by any means without the express written authorization of King County.
https://kingcounty.gov/en/dept/kcit/data-information-services/gis-center/about/terms-conditions-copyrights
This data layer describes the 2015 Seattle City Council Districts after districting due to the voter approved 2013 Seattle Charter Amendment 19. The Charter Amendment divided the nine citywide City Council positions into seven district elected seats and two citywide, at large seats. These boundaries were in effect from 2015 – 2022. It shows the districts exclusive of major water bodies.
This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.5404, 47.0693, -121.069, 47.8016 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2026-08-03T21:09:52.000Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/maps/kingcounty::tree-canopy-2021-tree-points", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=0", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r13tree-point" }, "title": "t26r13tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.1904, 47.6985, -121.0689, 47.7811 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:02:29.349Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r13tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/0", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=0", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=0", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=0", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=0", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=1", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r12tree-point" }, "title": "t26r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3122, 47.6981, -121.1909, 47.7808 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:03:28.341Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/1", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=1", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=1", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=1", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=1", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=10", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r03tree-point" }, "title": "t26r03tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4053, 47.6882, -122.3504, 47.7852 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:11:16.332Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/10", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=10", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=10", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=10", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=10", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=11", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r13tree-point" }, "title": "t25r13tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.1898, 47.6163, -121.099, 47.6988 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:11:45.030Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r13tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/11", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=11", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=11", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=11", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=11", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=12", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r12tree-point" }, "title": "t25r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3114, 47.6158, -121.1904, 47.6985 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:12:44.480Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/12", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=12", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=12", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=12", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=12", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=13", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r11tree-point" }, "title": "t25r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.4635, 47.6151, -121.3122, 47.6981 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:13:43.981Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/13", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=13", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=13", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=13", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=13", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=14", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r10tree-point" }, "title": "t25r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.7067, 47.6135, -121.5863, 47.6966 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:15:43.929Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/15", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=15", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=15", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=15", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=15", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=17", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r07tree-point" }, "title": "t25r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9804, 47.611, -121.8299, 47.6947 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:18:22.098Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/17", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=17", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=17", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=17", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=17", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=18", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r06tree-point" }, "title": "t25r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.102, 47.6098, -121.9822, 47.6933 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:18:58.249Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/18", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=18", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=18", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=18", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=18", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=19", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r05tree-point" }, "title": "t25r05tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2236, 47.6083, -122.104, 47.692 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:19:22.504Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/19", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=19", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=19", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=19", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=19", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=2", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r11tree-point" }, "title": "t26r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.3452, 47.6068, -122.2258, 47.6906 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:19:37.720Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r04tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/20", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=20", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=20", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=20", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=20", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=21", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r03tree-point" }, "title": "t25r03tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4332, 47.6072, -122.3475, 47.689 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:19:46.890Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t25r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/21", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=21", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=21", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=21", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=21", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=23", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r12tree-point" }, "title": "t24r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3408, 47.5129, -121.281, 47.6159 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:20:40.513Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/23", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=23", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=23", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=23", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=23", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=24", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r11tree-point" }, "title": "t24r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.4622, 47.5123, -121.3418, 47.6157 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:21:30.795Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/24", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=24", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=24", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=24", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=24", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=25", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r10tree-point" }, "title": "t24r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.705, 47.5107, -121.5851, 47.6143 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:23:47.053Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/26", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=26", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=26", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=26", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=26", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=27", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r08tree-point" }, "title": "t24r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8264, 47.5097, -121.7067, 47.6135 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:25:14.464Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/27", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=27", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=27", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=27", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=27", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=28", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r07tree-point" }, "title": "t24r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9781, 47.5083, -121.8283, 47.6125 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:26:32.676Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/28", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=28", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=28", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=28", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=28", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=29", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r06tree-point" }, "title": "t24r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.1, 47.5275, -121.9803, 47.611 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:27:05.054Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/29", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=29", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=29", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=29", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=29", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=3", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r10tree-point" }, "title": "t26r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2214, 47.5261, -122.102, 47.6098 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:27:34.081Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/30", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=30", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=30", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=30", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=30", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=31", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r04tree-point" }, "title": "t24r04tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.3428, 47.5246, -122.2236, 47.6083 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:27:47.328Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r04tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/31", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=31", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=31", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=31", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=31", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=32", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r03tree-point" }, "title": "t24r03tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4186, 47.5235, -122.3448, 47.5959 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:27:56.574Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t24r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/32", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=32", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=32", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=32", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=32", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=33", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r12tree-point" }, "title": "t23r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3404, 47.4718, -121.2801, 47.5131 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:28:01.304Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/33", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=33", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=33", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=33", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=33", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=34", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r11tree-point" }, "title": "t23r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.5824, 47.4293, -121.4622, 47.5123 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:29:27.550Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r10tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/35", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=35", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=35", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=35", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=35", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=36", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r09tree-point" }, "title": "t23r09tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.7036, 47.4284, -121.5836, 47.5115 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:30:33.619Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/36", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=36", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=36", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=36", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=36", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=37", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r08tree-point" }, "title": "t23r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8551, 47.4272, -121.705, 47.5107 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:31:46.088Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/37", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=37", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=37", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=37", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=37", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=38", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r07tree-point" }, "title": "t23r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9763, 47.426, -121.8567, 47.5094 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:32:50.792Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/38", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=38", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=38", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=38", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=38", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=39", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r06tree-point" }, "title": "t23r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.7081, 47.6957, -121.5875, 47.7788 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:07:06.869Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/4", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=4", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=4", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=4", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=4", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=40", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r05tree-point" }, "title": "t23r05tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2192, 47.4439, -122.1, 47.5275 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:34:06.065Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/40", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=40", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=40", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=40", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=40", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=41", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r04tree-point" }, "title": "t23r04tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.3404, 47.4423, -122.2214, 47.5261 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:34:25.896Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r04tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/41", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=41", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=41", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=41", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=41", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=42", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r03tree-point" }, "title": "t23r03tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4616, 47.4407, -122.3428, 47.5246 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:34:37.758Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/42", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=42", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=42", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=42", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=42", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=43", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t23r02tree-point" }, "title": "t23r02tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.4605, 47.3684, -121.4006, 47.4304 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:35:03.398Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/44", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=44", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=44", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=44", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=44", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=45", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r10tree-point" }, "title": "t22r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.5813, 47.3471, -121.4612, 47.43 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:36:05.853Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r10tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/45", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=45", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=45", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=45", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=45", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=46", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r09tree-point" }, "title": "t22r09tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.7023, 47.3462, -121.5824, 47.4293 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:37:16.635Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/46", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=46", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=46", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=46", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=46", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=47", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r08tree-point" }, "title": "t22r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8535, 47.3449, -121.7036, 47.4284 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:38:42.340Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/47", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=47", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=47", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=47", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=47", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=48", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r07tree-point" }, "title": "t22r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9745, 47.3438, -121.8551, 47.4272 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:39:42.142Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/48", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=48", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=48", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=48", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=48", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=49", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r06tree-point" }, "title": "t22r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.0955, 47.3425, -121.9767, 47.4466 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:40:37.908Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/49", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=49", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=49", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=49", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=49", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=5", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r08tree-point" }, "title": "t26r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.8299, 47.6947, -121.7095, 47.778 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:08:27.451Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r08tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/5", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=5", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=5", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=5", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=5", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=50", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r05tree-point" }, "title": "t22r05tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2165, 47.3411, -122.098, 47.4453 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:41:15.721Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/50", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=50", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=50", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=50", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=50", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=51", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r04tree-point" }, "title": "t22r04tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.3519, 47.3393, -122.2192, 47.4439 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:41:41.222Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r04tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/51", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=51", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=51", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=51", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=51", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=52", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r03tree-point" }, "title": "t22r03tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4888, 47.3429, -122.3763, 47.4418 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:42:04.953Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/52", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=52", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=52", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=52", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=52", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=53", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r02tree-point" }, "title": "t22r02tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.5407, 47.3367, -122.4919, 47.4402 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:42:22.080Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t22r02tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/53", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=53", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=53", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=53", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=53", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=54", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r11tree-point" }, "title": "t21r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.4593, 47.2656, -121.3392, 47.3484 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:42:54.645Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/54", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=54", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=54", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=54", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=54", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=55", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r10tree-point" }, "title": "t21r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.5801, 47.2648, -121.4602, 47.3478 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:44:11.707Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r10tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/55", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=55", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=55", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=55", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=55", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=56", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r09tree-point" }, "title": "t21r09tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.7009, 47.264, -121.5812, 47.3471 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:45:32.549Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r09tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/56", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=56", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=56", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=56", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=56", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=57", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r08tree-point" }, "title": "t21r08tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9727, 47.2615, -121.8535, 47.3449 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:48:15.235Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/58", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=58", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=58", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=58", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=58", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=59", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r06tree-point" }, "title": "t21r06tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.0935, 47.2603, -121.9745, 47.3438 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:49:03.086Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r06tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/59", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=59", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=59", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=59", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=59", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=6", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r07tree-point" }, "title": "t26r07tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.9822, 47.6933, -121.8315, 47.777 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:09:36.774Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t26r07tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/6", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=6", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=6", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=6", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=6", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=60", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r05tree-point" }, "title": "t21r05tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.2143, 47.2589, -122.0955, 47.3425 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:49:36.558Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r05tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/60", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=60", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=60", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=60", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=60", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=61", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r04tree-point" }, "title": "t21r04tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.4263, 47.2766, -122.3676, 47.3353 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:50:11.296Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r03tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/62", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=62", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=62", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=62", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=62", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=63", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r02tree-point" }, "title": "t21r02tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -122.522, 47.3303, -122.4914, 47.3374 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:50:12.172Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t21r02tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/63", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=63", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=63", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=63", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=63", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=64", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r12tree-point" }, "title": "t20r12tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.3377, 47.1839, -121.3079, 47.2252 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:50:22.871Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r12tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/64", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=64", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=64", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=64", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=64", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=65", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r11tree-point" }, "title": "t20r11tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
", "keyword": [ "King County", "King County GIS Center", "KCITGIS", "Trees", "_POINT", "landcover" ], "contactPoint": { "hasEmail": "mailto:engwebgisadmins@kingcounty.gov", "fn": "King County", "@type": "Kind" }, "publisher": { "@type": "Organization", "name": "King County" }, "theme": [ { "prefLabel": "Geospatial" } ], "spatial": [ { "@type": "Location", "bbox": [ -121.458, 47.1628, -121.3384, 47.2662 ] } ], "rights": [ "" ], "subject": [ "Agency", "GIS Center", "GIS Data Warehouse: Agency", "GISC (Data Warehouse)", "Environment", "Habitat", "Earth observations", "GIS Data Warehouse: Library", "Environment (Data Warehouse)", "Land cover" ], "provenance": [ "King County, Washington DNR, USGS, Ecopia, USDA" ], "language": [ "en" ], "modified": "2025-10-17T20:51:57.972Z", "issued": "2025-11-21T00:00:00.000Z", "metadataDistribution": [ { "@type": "Distribution", "accessURL": "https://www.arcgis.com/sharing/rest/content/items/0c93efe355fb4c418d8153ce3f781998/info/metadata/metadata.xml?format=default", "title": "Metadata", "mediaType": "application/xml", "format": "XML" } ], "distribution": [ { "@type": "Distribution", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r11tree-point", "format": "HTML", "mediaType": "text/html", "description": "Web Page", "title": "ArcGIS Hub Dataset", "license": "" }, { "@type": "Distribution", "accessURL": "https://services.arcgis.com/Ej0PsM5Aw677QF1W/arcgis/rest/services/Tree_Canopy_2021_Tree_Points__forrealthistime/FeatureServer/65", "format": "JSON", "mediaType": "application/json", "description": "GeoServices REST API", "title": "ArcGIS REST service", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/csv?layers=65", "format": "text/csv", "description": "CSV", "title": "CSV", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/shapefile?layers=65", "format": "application/zip", "description": "Shapefile", "title": "Shapefile", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/geojson?layers=65", "format": "application/vnd.geo+json", "description": "GeoJSON", "title": "GeoJSON", "license": "" }, { "@type": "Distribution", "downloadURL": "https://gis-kingcounty.opendata.arcgis.com/api/download/v1/items/0c93efe355fb4c418d8153ce3f781998/kml?layers=65", "format": "application/vnd.google-earth.kml+xml", "description": "KML", "title": "KML", "license": "" } ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=0c93efe355fb4c418d8153ce3f781998&sublayer=66", "landingPage": { "@type": "Document", "title": "Dataset Homepage", "accessURL": "https://gis-kingcounty.opendata.arcgis.com/datasets/kingcounty::t20r10tree-point" }, "title": "t20r10tree point", "purpose": "Inventory of tree points in King County for 2021.", "description": "This layer provides an approximate inventory of tree center points for King County in 2021. Tree points were derived through an automated process using 2021 lidar, Ecopia land cover, and NAIP imagery. This layer provides an estimate of tree location and tree height from lidar, tree type (evergreen vs decidious) from lidar intensity, and vegetation health from imagery using NDVI.
The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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The points in this layer have not been QA/QC'd or field verified. This layer is not as accurate as a ground inventory would be. However, there are ~101,000,000 trees in King County, so this analysis provides a feasible approximation of tree location and density at a fraction of the cost and effort.
Because there are so many features, the layer has been split into tiles of about 1 - 2 million points. Use the Tree Point Index polygon layer to identify which tiles you need to cover your area of interest. All tree point features are turned on by default, but restricted to a max of 1:10,000 scale for visibility. If you don't see tree points when you load this layer, zoom in further and wait a few seconds for the layer to render. To improve performance, turn off tree point tile layers you don't need.
For detailed information on how this layer was derived, please see the History of Building- Vegetation Height, & Tree Canopy at King County storymap.
For lidar intensity values, 0-120 = Deciduous, 120-200 = Conifer, 200-255 = Other. This is an estimated range.
NDVI values range from -1 to 1, with values closer to 1 indicating lush green vegetation.
Tree height is measured in feet above the bare earth DEM. A “tree” in this layer is any vegetation taller than 10 feet.
No updates are planned for this layer.
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