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AI-Guided Drone Swarm Maps Wildfire Smoke in 3D to Improve Air-Quality Forecasts

University of Minnesota researchers detail a peer-reviewed system that navigates smoke to collect volumetric measurements for more accurate simulations.

Overview

  • The work, led by first author Nikil Krishnakumar with senior author Jiarong Hong, is published in Science of The Total Environment (2025) with DOI 10.1016/j.scitotenv.2025.179466.
  • Coordinated AI-enabled drones detect smoke, fly into plumes, sample from multiple viewpoints, and reconstruct three-dimensional structure and flow.
  • The team reports that the method delivers high-resolution measurements over wide areas at lower cost than satellite tools to strengthen modeling and hazard response.
  • Ongoing development targets more efficient plume tracking and particle-level measurements using Digital Inline Holography in coordinated multi-drone operations.
  • Researchers are testing fixed-wing VTOL integration to extend mission range toward practical early detection, with potential use for sandstorms and volcanic ash and a need underscored by an Associated Press tally of 43 wildfires from 50,000 prescribed burns.