FireLoc: Low-latency Multi-modal Wildfire Geolocation

Firefighters still rely on coarse remote sensing and inaccurate eyewitness reports to localize spreading wildfires. Despite advances in sensing, UAVs, and computer vision, the community has yet to combine the right modalities to achieve effective wildfire geolocalization and spotting. We present FireLoc, a fast and accurate wildfire crowdsensing system that localizes and maps wildfires combining ground cameras and landscape data.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3666025.3699318
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
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article

FireLoc: Low-latency Multi-modal Wildfire Geolocation

Barath Raghavan, Peter A. Beerel, Yue Hu, Xiao Fu et al.
Fire effects on ecosystems
article

FireLoc: Low-latency Multi-modal Wildfire Geolocation

Barath Raghavan, Peter A. Beerel, Yue Hu, Xiao Fu, Prashanth Sutrave
article en

Abstract

Firefighters still rely on coarse remote sensing and inaccurate eyewitness reports to localize spreading wildfires. Despite advances in sensing, UAVs, and computer vision, the community has yet to combine the right modalities to achieve effective wildfire geolocalization and spotting. We present FireLoc, a fast and accurate wildfire crowdsensing system that localizes and maps wildfires combining ground cameras and landscape data.

University of Southern California (US)
Climate action
Openalex Percentile: Top 83%
Fire effects on ecosystems
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FireLoc: Low-latency Multi-modal Wildfire Geolocation — Barath Raghavan, Peter A. Beerel, et al. · (2024) | TGRS Research Map | TGRS