Aiming at the problems of insufficient coordination between task scheduling and flight trajectory planning, as well as low operational efficiency, in general aviation aircraft rescue operations for forest fire scenarios, this paper designs a collaborative optimization model for multi-aircraft task scheduling and flight trajectory planning. Firstly, an improved contract net protocol is utilized to achieve optimized task scheduling based on real-time fire conditions, aircraft status, and task priorities. Secondly, for complex fire environments, autonomous flight trajectory planning is implemented using the ant colony optimization, ensuring orderly and efficient execution of rescue tasks by multiple aircraft within the fire zone. Finally, the improved algorithm is validated through simulation experiments. The results demonstrate that the proposed algorithm effectively addresses the coupling problem between task scheduling and trajectory planning, thereby enhancing the overall efficiency of multi-aircraft rescue task scheduling and resource utilization rate.