Replication Data for: Interaction between phenology and climate based on multi-source remote sensing observations

The datasets used in the PhD research include multi-source remote sensing products, meteorological reanalysis data, and in-situ flux observations. These data collectively support the investigation of land surface phenology and its climatic drivers. The analyses specifically focus on the influences of temperature and precipitation on the initiation of the growing season, the regulatory role of optimal temperature, and the radiation-driven coupling between vegetation photosynthetic activity and structural seasonal peaks.