Objective: Conducting resilience assessments of transmission corridors under wildfire scenarios is crucial for enhancing the power grid's ability to respond to wildfire disasters. Given the lack of a unified definition for the resilience of transmission corridors under wildfire scenarios, the insufficient consideration of key resilience dimensions throughout the process of disaster incubation, occurrence, and development; and the complexity of existing assessment methods, this study aims to establish a quantifiable and operable dynamic resilience assessment framework for transmission corridors under wildfire scenarios. Methods: Combining resilience theory with the characteristics of wildfire incidents affecting transmission corridors, this study clarified the core connotations of resilience in wildfire scenarios. On this basis, a resilience assessment index system was developed considering 5 dimensions, namely preventive, resistance, absorptive, recovery, and adaptive capabilities, and 37 indicators, such as relative air humidity, temperature, vegetation coverage, operating voltage of power transmission lines, and centrality degree of transmission lines. By incorporating geographic information systems and remote sensing technologies, multisource data were integrated, and the data of the indicators were extracted. The analytic hierarchy process-entropy weight combination method was employed to determine indicator weights, and a systematic resilience assessment framework was developed. The framework was applied to the Tai'an region as a case study, with spatiotemporal analysis and sensitivity analysis conducted on the resilience assessment results. Results: (1) The spatiotemporal analysis revealed that on the whole, more than 70.00% of the transmission corridors in Tai'an presented high or very high resilience levels. The resilience levels of transmission corridors in different months and regions fluctuated to varying degrees. The resilience level of the transmission corridors at the border between the Daiyue District and Xintai City remained low for a long time. In May and September 2024, the proportions of transmission corridors with low resilience levels in Tai'an were 0.66% and 0.02%, respectively. Compared with that in the entire year, the resilience level of the transmission corridors significantly decreased in May and September 2024, indicating that these months are the key periods for strengthening the management of system resilience levels. (2) The sensitivity analysis showed that indicators such as the centrality degree of transmission lines, the density of the power department, vegetation coverage, distributed power sources, and transmission-line material significantly affect the overall resilience level of a system. Management measures for enhancing the resilience level of transmission corridors can be formulated based on such indicators. Conclusions: The research results revealed the following: (1) The proposed assessment framework systematically and quantitatively evaluated the resilience status of transmission corridors throughout wildfire disasters using geographic information systems and remote sensing technologies. (2) This framework shows good operability and applicability and can effectively support the spatiotemporal analysis of resilience levels and the identification of key influencing factors. (3) This framework can also promptly identify weak links in the resilience of transmission corridors, providing decision support for the formulation of targeted resilience improvement strategies.