| 摘要 |
A method and apparatus for identifying individual trees in LiDAR data based on the view of a LiDAR data point. In one embodiment, those LiDAR data points that do not have neighboring LiDAR data points that block the local view at a defined angle are considered to be in a central part of a tree canopy. In one embodiment, those LiDAR data points that are in a central part of a tree canopy are added to an output file that stores clusters of data points for each tree canopy detected. The central part of the tree canopy area can be analyzed to predict one or more characteristics of the tree.
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