A series of flight experiments were carried out in Erenhot from September 20 to October 7 to explore the underground water resources, according to the Aerospace Information Research Institute (AIR).

The fourth report on the State of the World’s series released on September 29, 2020 by the Royal Botanic Gardens (RBG), Kew, takes a deep dive into the state of the world’s plant and fungal kingdoms globally. The report is a result of huge international collaboration bringing together 210 scientists from 42 countries. Scientists from the National Engineering Research Center for Geomatics (NCG) with the Aerospace Information Research Institute (AIR) took part in the work of medicine chapter. Focusing on the 157 most endangered medicinal plants, scientists analyzed the distribution patterns of these plants in China.

A portable image acquisition system for vegetation canopy has been developed by AIR to fill the data gap caused by canopy analyzer which fails to observe and measure features of vegetation simultaneously. The system is capable of obtaining extremely huge raw data from thirteen authenticity testing sites distributed nationwide while ensure the authenticity of vegetation products.

It is widely recognized that space technologies play a unique role in addressing disasters on world heritage sites. On October 13, 2020, a Training Workshop on Space Technologies for Post-Disaster Restoration of World Heritage Sites was held at the Jiuzhaigou Valley, a world heritage site in southwest China's Sichuan Province to mark the International Day on Disaster Risk Reduction.

A ground network, which contains a canopy analyzer and a leaf area index (LAI) wireless sensor system has been built and passed the acceptance check, according to the National Engineering Laboratory of Remote Sensing Satellite Applications at the Aerospace Information Research Institute (AIR) on September 14, 2020.

A research team led by Prof. NIU Zheng from the State Key Laboratory of Remote Sensing Sciences, Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS), and their cooperators proposed a remote-sensing driven model to estimate global Rs and analyzed its relationship with climate and land-cover.