Published in Chinese Geographical Science​, the research is led by Prof. WU Bingfang from the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS). By integrating 1-km evapotranspiration data, CHIRPS rainfall records and GRACE satellite gravimetry, the team quantified how irrigation expansion and planned hydropower schemes interact with environmental flow needs across the 1.39 million km² basin between 2003 and 2019.

A new study led by Professor LU Shanlong from the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), has published in Communications Earth & Environment, reveals that since 2019, when the previously isolated Zonag-Yanhu drainage basin became connected to the headwaters of the Yangtze River, both hydrological and ecological processes within the basin have undergone rapid transformation.

A research team led by Prof. NIE Sheng at the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), has developed a new bathymetric mapping framework that integrates indirect inversion of ICESat-2 satellite LiDAR data with multi-source remote sensing observations. The framework, detailed in Remote Sensing of Environment combines wave-based indirect bathymetry, multi-source feature fusion, and a temporal sample-transfer strategy to achieve high-accuracy, wide-coverage mapping in optically complex shallow waters.

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with the Center for Advanced Studies in Earth Sciences and Biodiversity (CADIC-CONICET), Argentina, has revealed major blind spots in current Antarctic vegetation mapping caused by the poor detectability of dark-colored lichens.

A recent study published in Microsystem & Nanoengineering​ introduces an innovative solution to the persisting challenges in Micro-Electro-Mechanical Systems (MEMS) resonant accelerometers: temperature drift and measurement dead zones. By adopting a dual-mode operating scheme that effectively separates the operating frequencies of the differential beams, the researchers achieved notable improvements in the sensor's accuracy and overall performances.

A research team from the State Key Laboratory of Remote Sensing and Digital Earth, in collaboration with the Laboratory of Electromagnetic Radiation and Detection Technology at the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), has successfully completed field testing of a self-developed unmanned vehicle-mounted glacier penetrating radar on the Bayi Glacier in the central Qilian Mountains. The tests ran from October 10 to 25, 2025.