Description
DC 2022 LiDAR was used and processed using the “Extract Trees using Cluster Analysis” script which is included as part of Esri’s 3D Basemap solution. All LiDAR-derived trees within 2 meters of a Urban Forestry Division tree were removed as being duplicates.
Tree diameter (DBH, in inches) was estimated for the LiDAR-derived trees from calculated tree height (in feet) based on the equation: DBH = 0.4003*height - 1.9557. This equation was derived from a statistical analysis of a detailed park inventory tree data set and has an R^2 = 0.7418.
Extreme outliers were also modified, with any DBH larger than 80 inches being converted to a DBH of 80 inches.
The combined data set was processed using the USDA Forest Service i-Tree eco software, where structure and environmental benefits were estimated.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| 21 | https://opendata.dc.gov/maps/DCGIS::dc-trees | ||
| 8 | https://opendata.dc.gov/api/download/v1/items/08bda06465a74cd59a6d4231d882588d/csv?layers=11 | ||
| 21 | https://opendata.dc.gov/datasets/DCGIS::dc-trees | ||
| 25 | https://opendata.dc.gov/api/download/v1/items/08bda06465a74cd59a6d4231d882588d/kml?layers=11 | ||
| 0 | https://maps2.dcgis.dc.gov/dcgis/services/DCGIS_DATA/Urban_Tree_Canopy/MapServer/WMSServer?request=GetCapabilities&service=WMS | ||
| 3 | https://maps2.dcgis.dc.gov/dcgis/rest/services/DCGIS_DATA/Urban_Tree_Canopy/MapServer/11 | ||
| 15 | https://opendata.dc.gov/api/download/v1/items/08bda06465a74cd59a6d4231d882588d/geojson?layers=11 | ||
| 57 | https://opendata.dc.gov/api/download/v1/items/08bda06465a74cd59a6d4231d882588d/shapefile?layers=11 |
Tags
- dc
- estimate-trees
- dc-trees
- urban-forestry
- washington
- environmental-benefits
- extracted-trees