I. Introduction
Fighting wildfires is a dangerous task and requires accurate online information regarding firefront location, scale, shape, and propagation velocity [1], [2]. Firefighters may lose their lives as a consequence of inaccurately anticipating information either due to inherent stochasticity in fire behavior or low-quality information provided, such as low-resolution satellite images [3]. Firefighters need frequent, high-quality images to monitor the fire propagation and plan accordingly. As such, Multi-robots teams capable of fast scheduling and task allocation [4], [5], [6] with analytical temporal upper- bounds [7], [8] are of particular interest for this applications. Due to recent advances in aerial robotic technology, UAVs have been proposed as a solution to overcoming the challenges of needing real-time information in fighting fires [9].