• Integrating Active and Passive Microwave Satellite Data Yields More Precise and Reliable Global Soil Moisture Mapping
    Integrating Active and Passive Microwave Satellite Data Yields More Precise and Reliable Global Soil Moisture Mapping

    Researchers from the Aerospace Information Research Institute (AIR) at the Chinese Academy of Sciences (CAS), in partnership with international colleagues, have made a stride in mapping surface soil moisture across the globe. By combining data from two advanced satellite systems—the Soil Moisture Active Passive (SMAP) and the Advanced Scatterometer (ASCAT)—they aim to provide more precise and reliable soil moisture data.

    July 08, 2024
  • High-Sensitivity TMR-Based Magnetrodes Usher in New Possibilities for Brain Magnetic Field Detection
    High-Sensitivity TMR-Based Magnetrodes Usher in New Possibilities for Brain Magnetic Field Detection

    Researchers at the Aerospace Information Research Institute (AIR) with the Chinese Academy of Sciences (CAS) have introduced a novel TMR-based magnetrode design that aims to revolutionize local magnetic field detection in the brain. These magnetrodes, which integrate TMR sensors with needle-shaped silicon substrates, are designed to be inserted into the brain for in-situ monitoring.

    July 03, 2024
  • New Global Satellite Dataset Fixes Time-Related Errors in Vegetation Chlorophyll Fluorescence
    New Global Satellite Dataset Fixes Time-Related Errors in Vegetation Chlorophyll Fluorescence

    Scientists have developed a satellite dataset that provides new insights into the global ecosystem health and productivity over the past 15 years. This new dataset, known as the Temporally Consistent Solar-Induced Fluorescence (TCSIF), offers a more reliable way to track changes in vegetation and photosynthesis across the globe from 2007 to 2021. The study, led by Professor LIU Liangyun from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, was published in Earth System Science Data.

    June 28, 2024
  • Scientists Develop Novel Model and Dataset for Ocean Dissolved Oxygen Monitoring
    Scientists Develop Novel Model and Dataset for Ocean Dissolved Oxygen Monitoring

    Scientists from the Aerospace Information Research Institute (AIR) at the Chinese Academy of Sciences, along with collaborators, combined global Argo data, artificial intelligence with machine learning techniques to develop a novel method for measuring dissolved oxygen levels in the ocean. This approach offers detailed insights into oxygen variations across diverse locations and timeframes, enhancing our ability to detect and understand changes effectively.

    June 28, 2024
  • GEO Project Forecasts Global Wheat Pest and Disease Implications
    GEO Project Forecasts Global Wheat Pest and Disease Implications

    The research team at the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), has conducted a comprehensive remote sensing forecast for wheat pests and diseases across Asia, Europe, and North America.

    June 22, 2024
  • <i>Journal of Remote Sensing</i> Achieves First Impact Factor of 8.8, Ranking Fifth Globally in the Field
    Journal of Remote Sensing Achieves First Impact Factor of 8.8, Ranking Fifth Globally in the Field

    The Journal Citation Reports (JCR), released by Clarivate on June 20, 2024, awarded the Journal of Remote Sensing an impressive first impact factor of 8.8. This significant achievement places the journal fifth globally in the remote sensing field.

    June 22, 2024