Our mission: The envisioned solution combines two classes of systems, namely those tasked with observation and fire detection (“Observation UAS”) and those tasked with fire suppression (“Fire-suppression UAS”). The first set of robots emphasizes long-endurance and exploits a multi-modal sensing payload, sensor fusion algorithms, and deep learning to detect and localize incip-ient-stage wildfires rapidly. The platforms will implement meteorologically-informed path planning and multi-agent teaming such that the fire search and detection process is autonomous. The UAS tasked with fire suppression integrate a specialized payload that is released and dropped on an identified fire location to suppress it. With the location of an incipient-stage wildfire detected by the Observation UAS and communicated to the team, Fire-suppression UAS are tasked to rapidly fly towards the area of interest to deliver their suppression payloads. The complete system-of-systems emphasizes autonomous operation and scalability of costs to facilitate adoption.