Vegetation Encroachment Analytic
The Vegetation Encroachment Analytic detects vegetation surrounding power lines with advanced features. Starting from a LiDAR or photogrammetry point cloud with existing classified data, and using a vector as a reference for the analysis, the analytic is able to identify and group all the dangerous trees that are near a power line, creating a risk map.
The risk map layer highlights critical zones where vegetation is detected too close to the digitized conductors. These zones are colored, to indicate severity, in terms of proximity to the power lines. The resulting outputs enable you to more quickly and confidently make decisions for vegetation management, such as planning for pruning operations, in terms of total volume to trim and priority zones.
Let's take a look at the process.
|Site CRS ( Coordinate Reference System)||It is used to properly locate the vegetation corridor to be analyzed|
|Point cloud corridor/area||The point cloud contains the inspected line and the surrounding vegetation to be analyzed.
A basic classification provided by Alteia's analytics is sufficient to run the vegetation encroachment analysis
|Line vector||It is a 2D vector containing the inspected line's path. It is required to properly identify the line to be used as a reference for the analysis|
Coordinates system for conductors
Required in case conductors have a CRS different from the one used at site level by the cloud point
Temperature for conductors
Required to carry out encroachment simulations with cables at a temperature different from the surveys
Reference voltage for conductors
Required to enable a dynamic analysis with different encroachment distances for the various voltage levels
Reference distance to be used for analysis
Required to run the analysis with encroachment distances customized on the local user's regulations, if missing standard values will be applied
View the risk map
The risk map shows, with different colors, related to the trimming priority, all potential vegetation encroachments identified by the automated analysis.
The risk map can be seen in 2D and 3D. An example of 2D view is provided below.
To view the risk map in 3D, within the survey, change the view from 2D to 3D by selecting 3D from the viewing menu on the right-hand side.
View the vegetation report and the work order report
To make trimming activities easier, the identified risk areas can also be represented with vegetation clusters each having a color related to the trimming priorities of trees inside.
The colored clusters are vectors each having its own attributes (like the trimming priority, the minimum distance to the power line, the volume of vegetation to trim, etc) and can also be grouped following custom criteria related to O&M activities.
An example is represented by the "work order layer" that shows with each cluster a volume of activity that can be carried out by field teams. For each cluster, it is possible to define some attributes, like trimming status, in order to track the status of future trimming activities for the area
Exporting the data to a point cloud.
All the layers mentioned above are available in the download section.
Select the downloads icon from the left-hand menu (framed in yellow below). Select the project you're operating in, and select the download icon to the right of the vegetation encroachment (.las) file.
|Risk Map||It is a vector showing punctually all the possible encroachment points identified by the automated vegetation encroachment analytic.|
|Vegetation Report||It is a vector report composed of clusters of vegetation, each representing some portions of vegetation to be cut.
Clusters may have different sizes and shapes ( normally rectangular) and are provided with attributes ( like GPS coordinates of the point at the closest distance from the line or priority) that make them a deliverable ready to use for operations.
|Work order Report||It is a vector report composed of clusters, each representing a volume of trimming activities.
Each cluster of the work order report is provided with attributes like the priority of trimming or the trimming status that make the report ideal for managing and supervising trimming operations.