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.

The China-EU joint conference of the BioClima project,“Integrated Monitoring of Climate Change and Biodiversity Improvement via Sino-European Environmental and Earth Observation", was held in Beijing on May 26, 2026. Hosted by the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), the conference brought together more than 50 experts and researchers from China and Europe to review project progress, exchange scientific findings, and explore future cooperation on climate change and biodiversity monitoring.

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.