This analytic provides a detection of vegetation surrounding power lines with advanced features to visualize a Risk Map.
The Risk Map layer highlights critical zones where vegetation is detected too close to the digitized conductors, according to a color chart for the criticity in terms of distance.
Starting from a LiDAR or photogrammetry point cloud, with already classified data, and using a vector as a reference for the analysis, the tool allows the user to identify and group all the dangerous trees that are nearby a power line.
The deliverables enable to take decisions for vegetation management : planning for pruning operations, in terms of volume to trim and priority zones.
1. Required Input
- Coordinate system for the Site
- Classified Point Cloud to be analyzed (basic classification is sufficient)
- Vectorized Conductors to be used as reference
Additional attributes for conductors like:
- Coordinates system for conductors
- Temperature for conductors
- Reference voltage for conductors
- Reference distance to be used for analysis
2. Browsing the Vegetation Risk Map
Select first the 3D view :
then enable the Lidar Point Cloud, Digitized conductors, and Vegetation Encroachment from Layers panel, then zoom in point cloud for the areas of interest in which the vegetation encroaches the power lines trajectory. The distance of vegetation to lines is displayed according to a colored chart in relationship with the defined buffers. In example below, red points highlight the closest vegetation detected, whereas blue ones are farther ones. Select RGB from the Vegetation Encroachment layer information panel, under STYLE section :
3. Exporting the Vegetation Encroachment point cloud
Go to Downloads section if you need to export the Vegetation Encroachment colorized risk map as a point cloud for use with third-party tools :
4.1. Text Collision Report
This report available in text format (*.txt and *.csv) shows all the portions of vegetation that are included inside the buffers used for the analysis.
4.2. Map Collision Report
This report shows in a map format (*.kml and *.shp) all the portions of vegetation that are included inside the buffers used for the analysis. Each point of the LiDAR cloud included in the buffer is a point in the map. Since, according to this definition, the number of points in the map may change a lot on the basis of point cloud density, it must be considered that each point representing a collision in the map must not cover an area bigger than 20 sq.cm.
4.3. Collision Detailed Report
This report is a collection of .pdf files containing a detailed view of a given collision.
4.4. Falling Tree Report
This report available both in text format (*.txt and *.csv) and in map format (*.kml and *.shp), shows all the portions of vegetation that can be dangerous for falling tree risk.
4.5. Pruning Report
This report available both in text format (*.txt and *.csv) and in map format (*.kml and *.shp), shows all the portions of vegetation that are included inside the buffers used for the analysis, grouped according the user requirements.