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 |
|---|---|---|---|
| ArcGIS GeoService | ArcGIS GeoServices REST API | Open resource | |
| OGC WMS | Unknown | Open resource | |
| CSV | CSV | Open resource | |
| GeoJSON | GeoJSON | Open resource | |
| KML | KML | Open resource | |
| Shapefile | ZIP | Open resource | |
| ArcGIS Hub Dataset | HTML | Open resource | |
| ArcGIS Hub Dataset | HTML | Open resource |