The rapid development of urbanization leads to the transformation of land use form and function，especially in mountainous areas. At the same time，the change of landscape pattern is a prominent symbol of land use transformation，and it is of great significance to explore the relationship between them for land use and ecological management in mountainous areas. Three remote sensing satellite image data of Jinzhai County in Dabie Mountains in 1999，2009 and 2019 were used to quantitatively analyze the landscape pattern evolution characteristics of Jinzhai County by using land use transfer matrix and landscape pattern index，and study the driving forces of landscape pattern evolution of Jinzhai County by using principal component analysis. The results showed that the transformation of land use in Jinzhai County from 1999 to 2019 was characterized by the transformation from production land to living land and ecological land，with the highest transformation rate and continuous growth of construction land. The area of cultivated land and unused land decreased. The forest land and water area continued to grow steadily. In terms of type，it was mainly the conversion between cultivated land，construction land，unused land and forest land. In space，the land use transformation in Jinzhai County was mainly concentrated in the central region from 1999 to 2009，and mainly concentrated in the northeast region from 2010 to 2019. During the period，the fragmentation of landscape pattern in Jinzhai County increased，landscape heterogeneity and evenness decreased，and irregular patches increased. From 2010 to 2019，various landscape types were distributed intermittently，and landscape connectivity decreased. The comprehensive action of five driving forces of Jinzhai County including economic development，industrial level，population situation，living standard and governance environment led to the transformation of land use and the change of landscape pattern. Among them，socio-economic development was the main driving factor of landscape pattern change in Jinzhai County，while population and urban construction were the secondary driving factors. In the future，further optimized method of measuring landscape pattern evolution and in-depth studies on driving factors should be considered. The scientific and comprehensive uses of land and optimization strategies for landscape pattern are proposed.