With rapid socio-economic development, human activities in scenic areas are increasing, often bringing potential threats such as changes in landscape patterns. In order to reveal the response relationship between landscape patterns and human activity intensity and identify the ecological environment fragmentation areas formed by the coupling of the two, this paper takes the Jinfo Mountain National Scenic Area as an example. It quantitatively analyzes the spatial and temporal changes of the landscape in Jinfo Mountain National Scenic Area by constructing a model of human activity intensity and calculating the landscape pattern index based on the land use data of three periods in 2000, 2010, and 2020. At the same time, spatial autocorrelation analysis was used to explore the spatial response association between human activity intensity and landscape pattern and then superimposed and coupled the areas with major human-land conflicts as potential key areas of concern. The study resultsshow that the landscape pattern of Jinfo Mountain National Scenic Area has changed significantly since 2000, with a continuous expansion of the construction land area, increased human activity interference, increased landscape fragmentation, and enhanced landscape heterogeneity.In the past 20 years, the area of the high value of human activity intensity has expanded year by year. It is distributed in the low elevation area, gathering in the villages and towns of Sanquan Town in the north and Jinshan Town in the south of the study area. The high clustering areas are mainly construction land and cultivated land areas. The intensity of human activities and landscape pattern changes have a significant spatial dependence, showing a solid spatial correlation and a high degree of consistency in spatial distribution. The coupling of human activity intensity and landscape pattern index in Jinfo Mountain National Scenic Area shows that the regions with major human land conflicts are expanding around villages and towns in the south and north in spatial distribution.