Abstract: Accurate and effective wildfire early warning can enhance the line state perception capability of the power grid, Besides, the reasonable deployment of regional mobile emergency resources can provide emergency power support to post-disaster fault areas, enabling rapid recovery of the load and enhancing the resilience of the grid. To address potential power outage risks caused by wildfires, we propose a two-stage optimization framework. In the first stage, a cellular automaton model is utilized to simulate the spatio-temporal process of wildfire occurrence, predicting the initial time and location of wildfire encroachment into the safety buffer zones of power lines. Furthermore, based on wildfire prediction and the air gap breakdown mechanism, the tripping probability of distribution lines affected by wildfires is analyzed. A Public Safety Power Shutoff plan is formulated accordingly. Subsequently, with the objective of minimizing the costs of power outages, emergency mobile power generation vehicle dispatch, and mobile energy storage operation, a post-wildfire power grid restoration strategy considering emergency resource scheduling is proposed. The constraints include the operational limitations of mobile emergency resources, as well as power flow and system operation constraints. A case study based on a modified real distribution grid in Liangshan Prefecture, China, is performed to validate the effectiveness of the proposed method. The results demonstrate that the proposed method is capable of effectively mitigating the impact of wildfires on the grid.