Abstract

Prescribed burning, the controlled application of fire for landscape resilience, is one of the most effective tools for removing the dangerous flammable vegetation accumulation in our wildlands to lower catastrophic wildfire risk. Yet advances in fire science have been hard to translate into usable tools for the burn planners and burn bosses who prepare and execute burn plans. BurnPro3D closes this gap with a decision-support platform that couples next-generation fuel, ignition, and fire-behavior models behind a simple interface for fire managers. This article traces BurnPro3D’s translation from research to field practice, a process built on workshops and interviews with more than 200 fire science, artificial intelligence-integrated workflow, and fire management stakeholders, iterative field testing, and convergence-oriented U.S. National Science Foundation funding mechanisms that supported product development and …

Date

2026

Authors

Ilkay Altintas, Melissa Floca, Daniel Crawl, Yolanda Gil, Kevin J Hiers, Rodman Linn

Journal

Computing in Science & Engineering

Volume

28

Issue

3

Pages

113-120

Publisher

IEEE