Vegetation management
Make better data-driven decisions about how and when to maintain resources that are threatened by vegetative growth
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Graphic illustration representing the IBM Environmental Intelligence Suite vegetation management feature
Introducing condition-based vegetation management

Protecting electrical lines, power plants and other utility assets from unwanted vegetation is a matter of public safety: falling branches and overgrown brush can lead to outages, wildfires and elevated risk for people and for property. 

IBM Environmental Intelligence Suite helps your decision-making by combining satellite data and Geiger-mode LiDAR predictive analytics with weather data to deliver AI-driven insights about vegetation growth. This cost-effective solution is built on a platform that processes massive, complex geospatial and time-based data sets, applies AI and analytics to calculate and score the impact of vegetation, and helps identify high-risk circuits or corridors that will benefit most from tree trimming or maintenance operations.


What you can do
Gain scalable and temporal insights 

The Environmental Intelligence Suite helps managers better understand the current state of vegetation across a territory by showing summaries of vegetation encroachment in defined buffer zones around assets and displaying the average and maximum tree heights within a given area. The tool scales automatically, assessing vegetation growth across hundreds of miles of power lines and allowing work to be prioritized by corridors, segments and zones.

Customize KPIs and scoring  

Satellite and LiDAR data is used to evaluate spans of vegetation according to various metrics and KPIs, such as distance to a power conductor or amount of encroachment into a buffer zone, and scores are assigned to help identify and focus trimming efforts. Users can combine these insights with other layers of information to design custom dashboards, alerts and decision-making metrics, and export data as needed. 

Assess vegetation species and risks  

The tool provides insights on tree species that includes identification of hazard trees that present a fall risk, and predicts areas where tree trimming might protect transmission lines and other assets. With dashboard views and alerts, managers can optimize preventative maintenance and rapid response, reducing the need for costly manual inspections. 

Explore the demo

IBM Vegetation Management leverages artificial intelligence, satellite imaging and LiDAR data, including geiger-mode data and linear LiDAR to assess and monitor vegetation and improve work prioritization.

Case studies Marcados EMI

Mercados EMI uses IBM weather data to help India predict electricity demand and reduce power outages.


The IBM Vegetation Management – Predict solution enables the utility company to reduce the number and severity of vegetation-related outages.

XShip Inc.

XShip added AI into a heavy rotation of navigation tools to help reduce customers’ fuel costs using a data-driven energy management system.

Related use cases Sustainability 

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Monitoring for weather disruption and safety

Make safety and operations decisions based on hyperlocal real-time weather information from The Weather Company®, an IBM Business.

Climate and weather risk management

Use actionable, accurate weather insights to help your organization mitigate the risk and cost of severe weather events.

Take the next step

Interested in learning more about how the IBM Environmental Intelligence Suite can help you forecast and mitigate extreme weather events?

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