With the growth in urbanization and the increasing challenges associated with climate change, disaster resilience has become a hot spot for researchers worldwide and significant progress in this field has been achieved. Disaster resilience is an important criterion in the judgment of a region’s ability to absorb, adapt to, and recover from a disaster. In this study, an evaluation system that is capable of reflecting large-scale disaster resilience for Southwest China’s mountainous regions was constructed. Disaster resilience indexes of a typical province in the mountainous areas of Southwest China—Sichuan Province and Yunnan Province—between 2000 and 2015 were calculated using the projection pursuit clustering (PPC) model. The temporal and spatial variation characteristics of disaster resilience were analyzed by combining them with the spatial autocorrelation principle. Additionally, the temporal and spatial coupling relations between disaster resilience and urbanization level were comprehensively analyzed. Results demonstrated that disaster resilience increased continuously across the study area during the period between 2000 and 2015. Differences in disaster resilience across different counties were observed to first increase and then decrease continuously. However, the regional disparity disaster resilience was still obvious. The spatial distribution of disaster resilience was generally high in the Southeast and low in the Northwest along the Hu Huanyong line. Disaster resilience across the region presented a significant spatial autocorrelation in different years and the agglomeration characteristics generally improved. Furthermore, a significant spatial variation was observed in the disaster resilience change rate. Results also showed a linear relationship between disaster resilience and urbanization level. Moreover, there is a positive spatial correlation between disaster resilience and urbanization level, demonstrating significant spatial agglomeration features. The consistent promotion of high-quality urbanization is extremely important in terms of improvements to a region’s capacity to cope with disasters and to achieve a management level that is comprehensive and sustainable.