Year: 2026
Type: article
Abstract: Wildfire monitoring has two related but different tasks: estimating where a fire is likely to occur and detecting one that has already begun. This short overview looks at how machine-learning risk maps, satellites, ground-based sensors, AI cameras and drones can contribute to earlier warnings. None works reliably in every setting. Used together, however, they may help communities respond sooner, provided the system can cope with false alarms, limited power and unreliable communication.
Author: Mohammed Fasih Uddin Adnan
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
SDG: Life on land
Open Access status: bronze
OpenAlex ID: W7224305801