Customer needs 

Optimize vegetation maintenance operations

Types of data analyzed 

3D LiDAR point clouds

Data acquisition method 

ESV measurement train

Analysis of slope and soil inclinations

Classification of slope and soil inclinations

Classification of different areas around the tracks (cuttings, embankments, buffer zones, surroundings)​

Method of using the digital twin

Analysis of vegetation heights (low, medium, high)​

Detection of vegetation close to the catenary (immediate danger within one meter)

Modeling of tree falls ​

Benefits for the client

• Leverage existing ESV data​
• Facilitate budgeting and organization of tree pruning ​
• Be able to anticipate tree falls ​
• Be able to apply specific treatment based on the unique characteristics of each tree: trunk size, tree species, etc.​
• Be able to prune only the vulnerable trees without excessive deforestation  ​
• Have an overview of their installations and navigate easily their entire surface​
• Reduce costs associated with potential accidents that could occur due to tree falls on the tracks​
• Conduct a longitudinal follow-up of vegetation status at a given moment and then a few months later to detect rapid growth​
• Optimize the availability of field agents so they can focus on problematic areas

What is LiDAR ? 

LiDAR, which stands for "Light Detection and Ranging" or "Laser Imaging Detection and Ranging," is a distance measurement technique based on the analysis of the properties of a light beam returned to its emitter.

A LiDAR system is an optoelectronic device consisting of a laser emitter, a receiver with a light collector (such as a telescope or other optics), and a photodetector that converts light into an electrical signal. It also includes an electronic signal processing chain that extracts the desired information.

LiDAR data collected forms a three-dimensional point cloud with up to 7,000 points per square meter, providing a highly detailed and precise level of information.