The increasing accessibility of radiometric thermal imaging sensors for unmanned aerial
vehicles (UAVs) offers significant potential for advancing AI-driven aerial wildfire …

A disaster mitigation demonstration, designed to integrate remote-piloted aerial platforms, a
thermal infrared imaging payload, over-the-horizon (OTH) data telemetry and advanced …

Current forest monitoring technologies including satellite remote sensing, manned/piloted
aircraft, and observation towers leave uncertainties about a wildfire's extent, behavior, and …

With the increasing interest in leveraging mobile robotics for fire detection and monitoring
arises the need to design recognition technology systems for these extreme environments …

Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage
to millions of hectares of forest resources and threatening the lives of people and animals. Of …

Wildfire monitoring and prediction are essential for understanding wildfire behaviour. With
extensive Earth observation data, these tasks can be integrated and enhanced through multi …

Project FiRE (First Response Experiment), a disaster management technology
demonstration, was performed in 2001. The experiment demonstrated the use of a thermal …

Wildfires are a growing problem in the US and worldwide. In the last decade, we witnessed
some of the costliest, most destructive, and deadliest wildland fires on record. This project …

Drone based wild re detection and modeling methods enable high-precision, real-time re
monitoring that is not provided by traditional remote re monitoring systems, such as satellite …

FlameFinder is a deep metric learning (DML) framework designed to accurately detect
flames, even when obscured by smoke, using thermal images from firefighter drones during …