| Abstract |
The current technology used to detect forest fires is: weather stations and satellite images, the latter is a great option, but, from space, fire detection has limitations to be large enough to be seen from the orbital altitude. That is why a drone can be used to monitor a forest for signs of fire before the satellite observes it, but a single drone to cover a large area of hectares is not optimal. A swarm of drones with automatic organization capability, equipped with atmospheric sensors that detect fire danger conditions or even a fire at an early stage, should be used to optimize coverage of the area. Implementing a heuristic algorithm for the automatic organization of the drone swarm applicable for the detection and warning of forest fires is a task still unfinished in the literature. Forest fires are a great environmental problem because they are detected mainly until they are very advanced and some square kilometers have already been burned. When they are detected in the advanced stage, the fire will be difficult to contain. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
