CAS Releases Global 30-m Impervious Surface Map

According to the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), a research team led by Prof. LIU Liangyun has released global 30-m impervious surface datasets with an accuracy of 95.1 %, the highest accuracy among existing data products of this kind. The related paper has been published in the journal Earth System Science Data, with the title of “Development of a global 30-m impervious surface map using multi-source and multi-temporal remote sensing datasets with the Google Earth Engine platform”.

Jul 24, 2020

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Study Reveals Composition of “Gel-like” Substance Discovered by Chang’e-4 Rover on Moon’s Far Side

A research team led by Prof. DI Kaichang from the State Key Laboratory of Remote Sensing Science under the Aerospace Information Research Institute (AIR), partnering with scientists from other institutions, has made detailed analysis by using multiple datasets from the rover's panoramic camera (Pancam), hazard avoidance camera (Hazcam), and the visible and near-infrared spectrometer (VNIS), revealing that the unusual substance is actually an impact melt breccia, and the provenance of the rover measured surrounding regolith might originate from a differentiated melt pool or from a suite of igneous rocks. The research paper "Impact melt breccia and surrounding regolith measured by Chang'e-4 rover" was published in Earth and Planetary Science Letters, a leading journal in the Earth and planetary science community.

Jul 20, 2020

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Space for New Discoveries

How exactly can space information technologies be applied to the research, monitoring and protection of cultural and natural heritage? Wang Xinyuan, deputy director of the International Center on Space Technologies for Natural and Cultural Heritage under the auspices of UNESCO, answered this question in an online lecture where he shared projects and discoveries last month.

Jul 19, 2020

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AIR Conducts S-band Aerial Remote Sensing System Flight Test

At the end of May，an eight-member working group from the Microwave Microsystem Department of the Aerospace Information Research Institute (AIR) conducted an agricultural application flight test in Yushu, Jilin Province, using the S-band subsystem.

Jun 19, 2020

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Scientists Propose New Algorithm for Fine-mode Aerosol Retrieval based on Polarized Satellite Data

Recently, Prof. LI Zhengqiang and his team from the State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute (AIR) have proposed a new aerosol retrieval algorithm for better FMA retrieval, called Spectral Neutrality of Surface Polarized Reflectance, or SNOSPR for short. The research paper was published in Remote Sensing of Environment, a top academic journal in the remote sensing field.

Jun 17, 2020

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