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County dataHealth
Tree Canopy Coverage
Published by County of Los Angeles · Updated 04/23/2024
- Last updated
- 04/23/2024
- First published 12/19/2023
- Update frequency
- Not listed
- Formats
- 5
- CSV, GeoJSON, Shapefile
- Coverage
- Los Angeles County, California
- County in California
About this dataset
This indicator provides information about the percentage of land with tree canopy coverage, weighted by population size.
Trees are essential for mitigating the effects of climate change, including extreme heat waves, because they provide shade and cooling to surrounding areas. Trees also provide mental and physical health benefits to residents living in the communities. Communities in which a large proportion of trees or natural land have been replaced by pavement and buildings are especially vulnerable to the urban heat island effect, in which heat becomes trapped and leads to warmer temperatures relative to other surrounding areas that have retained trees or natural land. In Los Angeles County, low-income communities are more likely to experience the urban heat island effect and are consequently at higher risk for negative outcomes associated with excess heat, including air pollution and heat-related illnesses. Increasing tree canopy coverage in areas with low tree density is one strategy that cities and communities can implement to mitigate the urban heat island effect and promote local climate resiliency.
For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.
Files and access
Links open the official government source
- CSV downloaddata.lacounty.govCSV
- GeoJSONdata.lacounty.govGeoJSON
- Shapefiledata.lacounty.govShapefile
- KMLdata.lacounty.govKML
- ArcGIS REST serviceservices.arcgis.comArcGIS REST
API endpoint: https://services.arcgis.com/RmCCgQtiZLDCtblq/arcgis/rest/services/Tree_Canopy_Coverage/FeatureServer
Links open outside websites we do not control.
Frequently asked questions
- Who publishes Tree Canopy Coverage?
- County of Los Angeles, part of Los Angeles County, California, publishes this dataset on LA County Open Data.
- How often is it updated?
- The publisher does not list a schedule. The last update was on 04/23/2024.
- How do I download it?
- It is available as CSV, GeoJSON, Shapefile, KML. Use the links in Files and access, which open the official government source.
Similar data from other publishers
- Tree CanopyLoudoun County, Virginia · Loudoun County GISAn Assessment of Existing and Potential Tree Canopy in Loudoun County, Virginia. The interactive TreePlotter Canopy Mapping Tool illustrates how tree canopy coverage is distributed across Loudoun County and provides analysis options to help prioritize futureArcGIS RESTUpdated 02/07/2025
- Tree CanopyState of Virginia · Loudoun CountyAn Assessment of Existing and Potential Tree Canopy in Loudoun County, Virginia. The interactive TreePlotter Canopy Mapping Tool illustrates how tree canopy coverage is distributed across Loudoun County and provides analysis options to help prioritize futureArcGIS RESTUpdated 10/10/2026
- Tree Canopy 2014State of Virginia · Arlington County - GIS PortalDavey Resource Group utilized LiDAR and aerial imagery to identify tree canopy cover and land cover classifications. Advanced image analysis methods were used to classify, or separate, the land cover layers from the overall imagery. The semi-automated extractiCSVZIPGeoJSONKML+1Updated 10/02/2026
- Tree Canopy 2023State of Virginia · Arlington County - GIS PortalDavey Resource Group utilized LiDAR and aerial imagery to identify tree canopy cover and land cover classifications. Advanced image analysis methods were used to classify, or separate, the land cover layers from the overall imagery. The semi-automated extractiCSVZIPGeoJSONKML+1Updated 10/02/2026
- Tree Canopy 2018State of Virginia · Arlington County - GIS PortalDavey Resource Group utilized LiDAR and aerial imagery to identify tree canopy cover and land cover classifications. Advanced image analysis methods were used to classify, or separate, the land cover layers from the overall imagery. The semi-automated extractiCSVZIPGeoJSONKML+1Updated 10/02/2026
Where this catalog comes from
- Data.gov CatalogU.S. General Services Administration
- State and local open data portalsSocrata Discovery API
- State and city CKAN portalsCalifornia, Virginia, Boston, Houston and more
- Government ArcGIS Hub sitesCity and county GIS data
Catalog checked 10/21/2026
We list dataset descriptions only. Downloads and APIs link straight to the official government source, which holds the current version and its terms of use.
Source: LA County Open Data · Last updated 10/21/2026 · Listing only; the data stays with the publisher
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