Predictive vegetation management

Published by olivier@jill
Predictive vegetation management
  • Build a data ingestion pipeline for easy aggregation and contextualization.
  • Integrate GIS databases.
  • Utilize automated classification of powerlines and vegetation on LiDAR point clouds.
  • Employ vectorization of trees and powerlines.
  • Predict future challenges with tree growth modeling based on species identification via ground truthing, multispectral data analysis, tree crow identification, etc.
  • Generate risk analysis automatically based on the position and distance of trees compared to powerlines.
  • Work seamlessly with trimming reports and integration to your existing CMMS.
  • Ensure compliance with Alteia’s compliance and auditing tools.

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