A research team led by Prof. WANG Shudong from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a new way to measure agricultural irrigation water use across China by combining satellite observations, physical laws, and artificial intelligence.

The Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has launched a dedicated satellite data service and an integrated flood warning platform to support emergency response as persistent heavy rainfall causes flooding in several parts of China.

A new machine learning algorithm has enabled the Himawari-8 geostationary meteorological satellite to observe ocean color every 10 minutes, giving scientists a much sharper view of how coastal waters change throughout the day. By learning from high-quality MODIS ocean color observations, the transformer-based model overcomes key limitations of Himawari-8, including its relatively low signal-to-noise ratio, and significantly reduces retrieval errors compared with standard hourly products. The approach opens a new path for near-real-time monitoring of algal blooms, sediment transport, water quality, and other fast-changing ocean processes across the Asia-Pacific region.

Space technologies are helping scientists unlock new insights into one of the world's most remarkable volcanic landscapes. A team from the International Centre on Space Technologies for Natural and Cultural Heritage (HIST), a UNESCO Category 2 Centre specializing in applying space technologies to the conservation and management of World Heritage sites, Biosphere Reserves, and UNESCO Global Geoparks, recently completed a five‑day remote sensing survey and geological heritage assessment at Wudalianchi UNESCO Global Geopark. The project produced high‑resolution data to support conservation, monitoring, and UNESCO revalidation efforts.

A 7.1-magnitude earthquake struck Venezuela on June 25, 2026, causing widespread damage in La Guaira state, north of the capital Caracas. According to figures released by the local government on July 2, the death toll had risen to 2,595 and the number of injured to 11,267.

A new imaging framework improves how unmanned aerial vehicle (UAV) radar systems reconstruct three-dimensional (3D) scenes in complex urban environments. By combining three-dimensional back projection with compressive sensing, the method overcomes a long-standing low-altitude imaging problem known as channel migration. The result is more accurate 3D reconstruction of buildings and ground features, with stronger resolution, lower error, and better structural recovery than conventional methods.