The operational bottleneck is manual, periodic line patrols that are costly, inconsistent, and reactive. A custom workflow automates this by ingesting scheduled satellite feeds (e.g., Planet, Sentinel-2) into a geospatial data lake. Computer vision agents, orchestrated via LangGraph, analyze NDVI indices and spectral bands to detect encroaching vegetation, calculate its proximity to conductors, and assign a risk score based on species growth rate and local fire indices. This replaces weeks of field survey labor with daily, programmatic risk assessment.




