Land use/cover change is an essential part of the frontier of global climate change and sustainable development. In this paper， based on Google Earth Engine （GEE） platform， we used Landsat remote sensing images of 1990， 2000， 2010， and 2020， combined with Random Forest （RF） algorithm and field survey to sequentially decode the four phases of land use/cover data in the order of build-up area， water， vegetation， farmland， and unused land and tracked the spatial and temporal patterns of land use/cover changes in the Triangle of Central China. The results show that ① In 2020， the Triangle of Central China will mainly be composed of farmland and vegetation， accounting for more than 86% of the area， with farmland and vegetation mainly distributed around the urban agglomeration， build-up area in a spatial pattern of scattered clusters mosaic； ②Over the past 30 years， the quantitative structure of land use and land-use transfer in the study area have varied， with the land use structure showing an increased continuously in build-up area and farmland， a fluctuating increase trend of vegetation and unused land， and a weak increase trend of water； and ③ The results of the analysis of the evolution of spatial clustering of land use focusing on build-up area and farmland show that the hotter and hot spots of land use degree are increasing. In general， the extreme hot spot area is gradually decreasing， while the hotter sites are on the contrary， and the hot spots are growing in trend， and all of them located in and around Wuhan city circle. The study results lay the foundation for the research on the conservation and sustainable use of land resources in ecological urban agglomeration.