This dataset represents tree crowns derived from LiDAR data. Tree crowns are defined as circles that fitted to the approximated radius of a tree's branches and leaves. The tree crowns were derived using LiDAR data. The operation was constrained to those areas of tree canopy, using the tree canopy dataset developed separately for this project, which employed automated techniques coupled with manual editing to extract tree canopy from imagery and LiDAR. Mapping of tree crowns was performed using an automated feature extraction technique that incorporated segmentation and morphology routines. The automated routine first created objects from the tree canopy using an inverse watershed segmentation algorithm applied to the LiDAR nDSM (normalized digital surface model) datasets. These objects were then refined using the spatial properties of the objects. Centroids were computed by finding the geometric center of the tree object. Attributes include the tree height and radius. The height was calculated using the 98th quantile of the LiDAR nDSM height to reduce outlier values. The radius was then calculated from the tree centroid using the formula. This radius was used to derive the tree crowns.
For more information, please see the 2021 Tree Canopy Assessment.
Organization: City of Seattle
Last updated: 2025-02-28T23:27:29.584794
Tags: 2021, biota, canopy, environment, king, seattle, seattle-gis-open-data, tree, washington