Abstract: The Qinghai-Tibet Plateau (QTP) has a crucial impact on global climate change, hydrological cycle, and biodiversity conservation. Based on the full-phase Sentinel-2 satellite image data from 2016 to 2022, a ready-to-use remote sensing quarterly composite image product of the QTP region was produced. The product is obtained by cloud-free synthesis processing of the Sentinel-2 satellite surface reflectance time series product, including 4 bands of visible light and near infrared, with a spatial resolution of about 10 meters. Each year is divided into 4 quarters according to January-March, April-June, July-September, and October-December. The cloud mask of each phase image is obtained by comprehensively using the visible light band, cirrus band, aerosol band, and near infrared band information of Sentinel-2 data, and the images masked within a quarter are synthesized according to the median principle, to obtain cloud-free satellite remote sensing images of the QTP. This dataset reflects the continuous records of surface conditions and environmental changes of the QTP over seven years, and is applicable to multi-field research such as vegetation health monitoring, soil erosion assessment, ecological restoration research, and land cover change detection.