The Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has successfully conducted a business-oriented application experiment in satellite-to-ground laser communications with data rates exceeding 100 Gbps, achieving a peak transmission speed of 120 Gbps.

A new artificial intelligence–based approach is enabling more accurate and efficient monitoring of air pollution from space. By combining deep learning with physical radiative transfer modeling, researchers have developed a method that significantly improves the retrieval of atmospheric aerosol properties from complex satellite observations, supporting high-resolution, near-real-time monitoring of haze and dust events.

As a core component of the Three-North Shelter Forest Program in China's Three-North Region (TNR), farmland shelterbelts (FSs), also known as windbreaks, play a crucial role in reducing wind erosion and preventing soil degradation. However, the large-scale spatial patterns of FSs have remain poorly understood, limiting efforts to upgrade and optimize these systems.