A recent study published in Atmosphere made advances in the validation of MERRA-2 Aerosol Optical Thickness Dataset in China. The study was conducted by scientists from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences.

A new study delves into the long-lasting effects of pre-phase landslides on future landslide occurrences and evaluates the susceptibility of regions prone to seismic events. The study was conducted by a research team from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences, with the research results published in the International Journal of Digital Earth on Oct. 18, aiming to establish a robust post-seismic landslide susceptibility model and unravel the spatio-temporal dynamics of landslide vulnerability.

Scientists from the National Engineering Research Center for Satellite Remote Sensing Applications under the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), together with collaborators from Shihezi University (Xinjiang, China) and University of Toronto (Toronto, Canada), proposed a generalized cotton mapping strategy that provides cotton maps throughout Xinjiang with high-resolution performance.

The first global 30-m map of global tidal flats (GTF30) was developed by a research team led by Prof. LIU Liangyun from the the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS). The study was published in “Journal of Remote Sensing”.

China's first comprehensive service platform for flood early warning and monitoring, independently developed by the National Earth Observation Data Center (NODA), was launched, according to the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences.

Researchers from the National Engineering Research Center for Remote Sensing Application under the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS), together with the China University of Mining and Technology-Beijing, constructed a valid approach published in “Environmental Science and Pollution Research” journal.The study uses the Sino-Singapore Tianjin Eco-city as an example to measure and analyze the spatial carbon emission efficiency.