The Utility Vegetation Management (UVM) industry is evolving at a rapid pace as emerging technologies such as LiDAR, workflow systems and satellite imagery are revolutionizing the tasks that are executed every day. The typical workflow consisting of manual inspections and data collection are becoming more automated, providing UVM managers with data that they can trust and leverage to increase reliability, improve efficiency, and obtain a higher ROI on their vegetation-related O&M expenses.
From an article in T&D World
These strides in innovative technology are growing at an exponential rate, and as technology expands with advances in Artificial Intelligence, Machine Learning and UAVs- it’s easy to be left wondering where to start exploring what works best for your system. While the practice of using networks of ground-based sensors and aerial sensors such as drones or aerial LiDAR to collect data has existed for decades, geospatial data technology sourced from satellites has proved to be an emerging and successful option.
Undeniably, Satellite and LiDAR are the two most common technologies, and both have proved valuable to utilities as innovation has allowed collection of information with greater accuracy, depth, and contextual detail across large areas. However, decision makers are often faced with a more practical question – Which technology should I choose?
In this article, we’ll dive deep into the points that make a satellite-driven solution the choice of the future while comparing the technology to LiDAR.
Choosing the Right Technology is Key for an Efficient Vegetation Management Program
Utility Vegetation Management is a complex exercise beginning with inspecting and analyzing data to determining work types such as IVM (Integrated Vegetation Management), Hazard Tree Mitigation programs, Wildfire Mitigation and foundational Cycle Plans. Once an analysis is performed, the juggling of internal resources and external contractors adds a layer of workflow management, all while still maintaining regulatory compliance and preparation for disaster events such as storms and wildfires.
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