Scientists from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with Shihezi University, have developed a novel method to identify cotton fields in Xinjiang during the plastic-mulching stage. The study, titled "Advancing the earliest identifiable timing of cotton fields by the unique mechanized plastic-mulching practices in Xinjiang," was published in Remote Sensing of Environment.

A study published in Remote Sensing of Environment has generated the first 10-meter dynamic water dataset (DWH10) for the Hindu Kush Himalaya (HKH) region, revealing that existing global water products may substantially underestimate surface water extent in mountainous areas.

A research team led by Prof. CAI Xinxia, Assoc. Prof. LUO Jinping and Assoc. Prof. WANG Mixia from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has demonstrated that in vitro biological neuronal networks can achieve both low-power consumption and high-speed communication through predictable electrical stimulation, providing a promising new route for next-generation brain-inspired computing systems. The study shows that regular stimulation increased neural communication speed by about 1.79 times without adding extra energy cost.