Dr. Tao Che has been a Professor at the Chinese Academy of Sciences since 2014. Dr. Che has devoted to the research on remote sensing of snow cover, with specific foci on ground observation, remote sensing algorithm, and snow cover products. His major academic achievements include: (1) establishing the first comprehensive snow observatory in China, conducting long-term snow field survey in three representative snow areas across the nation (i.e., the Qinghai-Tibet Plateau, the northwestern and northeastern China), and publishing the standards for Chinese snow observation and filed survey; (2) developing an innovative dynamic remote sensing algorithm that prioritises snow characteristics as inputs, improving the accuracy of the remote sensing algorithms in heterogeneous land surfaces (i.e., mountainous and forest areas), and proposing a microwave remote sensing algorithm to describe the unique snow characteristics in China, and (3) releasing China’s first long-term hourly snow depth dataset with extensive applications in climate change, hydrology, water resources, as well as natural hazard research.