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  • Study Reveals Influencing Factors on Global Waste Distribution via Deep-Learning Based Dumpsite Detection from Satellite Imagery
    Study Reveals Influencing Factors on Global Waste Distribution via Deep-Learning Based Dumpsite Detection from Satellite Imagery

    A study published in Nature Communications describes an efficient and intelligent dumpsite detection technique and analyses the correlation between the number of dumpsites and social/economic factors.This work is proposed by a research team of the Key Laboratory of Network Information System Technology at the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS).

    March 31, 2023
  • Estimating Forest Functional Diversity by Remote Sensing
    Estimating Forest Functional Diversity by Remote Sensing

    A research group led by Prof. ZENG Yuan from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS), in collaboration with the Remote Sensing Laboratories of University of Zurich, retrieved forest functional traits and FD from airborne LiDAR and Sentinel-2 data, and investigated forest functional diversity–productivity relationships using wall-to-wall data in a subtropical forest.

    March 30, 2023
  • Global Fire Carbon Emissions Contribute to Increasing Atmospheric CO<sub>2 </sub>Concentrations: Study
    Global Fire Carbon Emissions Contribute to Increasing Atmospheric CO2 Concentrations: Study

    A research team led by Dr. SHI Yusheng from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS) quantified the impact of global fire carbon emissions on atmospheric CO2 concentrations through atmospheric transport model simulations, combined with ground-based and satellite observations validation.

    March 17, 2023
  • Satellite Successfully Monitors Power Plant CO<sub>2</sub> Emissions from Space
    Satellite Successfully Monitors Power Plant CO2 Emissions from Space

    A research team led by Dr. SHI Yusheng from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS) developed a method for estimating CO2 emissions from coal-fired power plants based on an improved Gaussian plume model and the Orbiting Carbon Observatory 2/3 satellite.

    February 24, 2023
  • Researchers Develop High-efficiency Mid- and Long-wave Optical Parametric Oscillator Pump Source
    Researchers Develop High-efficiency Mid- and Long-wave Optical Parametric Oscillator Pump Source

    A study published in Scientific Reports describes a high-efficiency mid- and long-wave optical parametric oscillator pump source: Ho: YAG laser, the system achieves high-efficiency 2.1 μm laser output by scanning and optimizing the pump laser wavelength.

    February 13, 2023
  • AIR Launches Interdisciplinary Project on High-resolution Sensing and Electrical Stimulation of Sleep-wake Neural Electrical Activity
    AIR Launches Interdisciplinary Project on High-resolution Sensing and Electrical Stimulation of Sleep-wake Neural Electrical Activity

    A major interdisciplinary project "Research on high-resolution sensing and electrical stimulation of sleep-wake neural electrical activity", led by Prof. CAI Xinxia from the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), in collaboration with Fudan University, Zhejiang University and Ruijin Hospital, has been approved by the National Natural Science Foundation of China (NSFC).

    January 19, 2023
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