The“Micro-Nano Sensing Technology” creative research group of NSFC from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, led by Professor CAI Xinxia, has made a breakthrough in brain-computer interface technology. The team developed a novel drug-loaded hydrogel-coated microelectrode array (MEA), which allows for long-term, high-quality detection of neural activity. The study was published in the journal Biosensors and Bioelectronics​.

A large-scale space-air-ground integrated scientific experiment, part of the "BeiDou-enabled Remote Sensing Application Pilot Program," was carried out from July 20 to August 15 at the Yellow River Delta National Nature Reserve.

A team of international researchers, led by Professor CHEN Fulong from the Aerospace Information Research Institute （AIR) under the Chinese Academy of Sciences, has employed an integrated approach to uncover the mysteries of the Eastern Mausoleum of Qin State, an ancient royal burial site from China’s Warring States period. By combining satellite imagery and electromagnetic ground surveys, the study offers a fresh perspective on the burial practices and cultural heritage of ancient China, while simultaneously pushing the boundaries of non-invasive archaeological research.

A research team led by Prof. CHEN Fulong from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences has been using satellite imagery and deep learning techniques to monitor a UNESCO World Heritage Site---Silk Roads: the Route Network of the Chang'an-Tianshan Corridor. Their recent study, published in the International Journal of Digital Earth​on September 13, emphasizes the growing need for vigilant monitoring as these sites face increasing threats from both urban development and natural disasters.

Researchers from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences have developed the first-ever 10-meter resolution maps of harvested winter wheat areas across China’s top-producing regions from 2018 to 2022. The study published in the Scientific Data​on September 27, used satellite remote sensing and advanced machine learning algorithms to highlight a significant discrepancy between planted and harvested areas. The research revealed that about 13% of planted winter wheat is lost before harvest due to meteorological factors such as dry-hot winds and waterlogging.

The 2024 Big Earth Data report, released at the 79th session of the United Nations General Assembly (UNGA), sets a new standard for using advanced technologies in promoting sustainable development and offers key resource for the global community, said the project's leader.