Abstract: Quickly and accurately obtaining land use information can provide a reference for urban development and ecological environment protection. This study classifies land use types in Yunnan Province based on multi-temporal Landsat image dense time stacking and random forest algorithm on the Google Earth Engine（GEE） platform, analyzes the spatiotemporal change trends of LULC in Yunnan Province, and uses geodetectors to quantitatively evaluate key drivers factor. The results show that, 1) the average overall accuracy and Kappa coefficient of LULC classification in this study are 88. 64% and 86. 01%, respectively, which is highly accurate and meets the data usage requirements. 2) The land types in Yunnan Province are mainly forest land, cultivated land, grassland, and sparse shrub grass mixed land, accounting for 97. 91%-98. 38%. Land use transfer mainly involves the conversion of forest land and cultivated land, and the conversion of grassland and sparse shrub grass mixed land into cultivated land. 3) The land use intensity in central and eastern Yunnan in Yunnan Province is generally higher than that in other regions, while the land use intensity in northwest and southwestern Yunnan is lower. 4) There are significant differences in the influence of different driving factors on LULC. Vegetation type, average annual temperature and soil type have a relatively small impact on LULC changes. Elevation, slope, aspect, average annual precipitation, population density, GDP and population urbanization rate, etc., generally have a high impact on LULC changes, Among them, GDP, population density, and population urbanization rate have a higher impact on LULC changes. The research results can provide data basis and support for subsequent ecological and environmental protection policy formulation and regional sustainable development in Yunnan Province.