02 June 2020
Recently, the laser communication team from the Institute of Optics and Electronics (IOE) of the Chinese Academy of Sciences (CAS) has applied adaptive optics (AO) technology to geosynchronous orbit coherent optical communication experiment. For a long time, the atmospheric turbulence effect of the star-ground link has caused signal beam wavefront distortion, spot dispersion and jitter, which affect the reception of ground signal light energy, especially the single-mode fiber reception of coherent laser communication. In order to achieve high-speed, high-reliability satellite-to-ground laser communication, the problem of atmospheric turbulence interference must be solved.
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02 June 2020
Recently, Professor Wang Yuming and his team from the University of Science and Technology of China, in collaboration with the teams from Purple Mountain Observatory of Chinese Academy of Sciences (CAS), Innovation Academy for Microsatellites of CAS, Shandong University, and the University of CAS, proposed a new concept of space exploration for understanding Sun and the inner heliosphere. This concept for the first time proposes to deploy six spacecraft, grouped in three pairs, in three elliptical orbits between the earth and Venus around the Sun to observe and study the Sun and the inner heliosphere in a full 360-degree perspective.
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link to the paper

04 June 2020
The search for extraterrestrial intelligence is one of the five main scientific goals of FAST. In 2018, FAST installed back-end equipment specifically to find extraterrestrials. "At present, the back-end equipment is being upgraded, and it is expected that new observations can be made after September, when the extraterrestrial civilization search will be launched," said Professor Zhang Tongjie of Beijing Normal University's astronomy department.
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03 June 2020
Chinese researchers have designed an improved remote sensing method for more efficient landslide monitoring. Synthetic aperture radar (SAR) remote sensing is a potential technique for long-term monitoring of landslide-prone areas. Traditional pixel offset tracking methods work well for fast-moving landslides but still have some limitations. The researchers from the Chinese Academy of Sciences proposed the improved offset tracking method to optimize a more efficient workflow, as well as an improved algorithm based on homogeneous samples.
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link to the paper