A new study introduces OCANet, a powerful tool for accurately identifying buildings in satellite images, marking an advancement in urban mapping technology. Published in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on October 21, the study highlights how OCANet can make city planning, disaster response, and environmental monitoring more effective.

A new study published in the International Journal of Digital Earth​ on October 20 utilizes the advanced capabilities of the Sustainable Development Science Satellite-1 (SDGSAT-1) to produce an unprecedented high-resolution population map of the Guangdong-Hong Kong-Macao Greater Bay Area. Researchers from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences employed SDGSAT-1’s innovative glimmer imaging and advanced deep learning techniques to deliver a more accurate population distribution at a fine scale, offering valuable insights for urban planning, disaster preparedness, and sustainable development.

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 developed a new method for fabricating high-precision, low-curvature microelectrode arrays (MEAs). The MEAs are designed for recording neuronal activities in brain's deep, small volume region. Published in the Microsystems & Nanoengineering on October 14, the study implanted the low-curvature MEAs into the ventral tegmental area (VTA) of rats, employing a modified T-maze to highlight the VTA's important role in reward processing and spatial information coding during goal-directed navigation.

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.

On October 19, China's first domestically developed integrated sky-ground intelligent monitoring and early warning system for vegetation pests and diseases, known as "Smart Eye", was officially launched, according to the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences.