Decision Tree – Vegetation Management Optimization
Decision Tree combines strong data science and modeling practices to assign risk scores to individual trees. The risk score analysis works to identify the relative risk of any given tree by correlating various physical measurements from new or existing lidar with outage data from the Utility, to correlate characteristics of trees that have historically failed, and apply those correlations to generate risk-based trim assessments.
Learn about our Decision Tree solution in detail by viewing our webinar recording or reading our flyer.