Tree Detection

Menu: Analyze / Trees

The Trees Detection tool enables batch identification of trees within the point cloud. Trees are generated based on six key parameters:

✔ Tolerance – Maximum allowable distance between a point and the detected tree.
✔ Minimum Points – The minimum number of points required to define a valid tree.
✔ Minimum Trunk Radius – Any tree trunk smaller than this radius will be ignored.
✔ Maximum Trunk Radius – Any tree trunk larger than this radius will be ignored.
✔ Maximum Trunk Height – Defines the height of the trunk up to the first large branch.
✔ Maximum Crown Radius – Any tree crown larger than this radius will be ignored.

Using Ground Surface

• Allows the selection of an existing ground surface to adjust the base elevation of detected trees.

1. Selecting the Processing Area

Pick Starting Point

• Click “Pick” to manually select a starting point in the point cloud.

Limit by Radius

• Restricts detection to a defined radius around the starting point.

• Helps focus detection on specific areas, reducing processing time.

• ⚠ If unchecked, it is highly recommended to use a fence to optimize performance.

2. Classification Options

Tree Naming

• A prefix name can be assigned to all detected trees for better identification.

Classify as…

• Allows detected tree points to be classified into a specific class.

• ⚠ Important:

  • Classify ground and buildings before running tree detection to improve accuracy.

  • The algorithm classifies based on point proximity, which may cause objects touching trees (e.g., poles, posts, vehicles, signs) to be included.

3. Running the Detection

1. Set the tolerance, radius limits, and classification options.

2. Choose a starting point (optional).

3. Set a radius limit (recommended for faster processing).

4. Click “Start” to begin detection.

5. Detected trees will appear in Explorer → Objects Tab → Trees, including all measured attributes.