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New Satellite Data Reveals Global Emissions Inventory from Open Biomass Burning
Recent research utilizing data from the Chinese Fengyun-3D satellite has unveiled a comprehensive global inventory of emissions from open biomass burning (OBB). This study, published in the Earth System Science Data on August 2，was conducted by a team of scientists led by SHI Yusheng, a researcher with the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS), providing crucial insights into the impact of OBB on air quality, climate, and human health.
Aug 05, 2024
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Chinese Gaofen-7 Satellite Enhances Precision in Forest Height Measurement
Scientists have developed a method to measure forest heights using advanced satellite technology, significantly reducing the need for labor-intensive fieldwork. A recent study published on July 29 in the Journal of Remote Sensing by a team of international researchers leverages high-resolution satellite imagery from China's GF-7 satellite and historical images from Google Earth to achieve highly precise forest height measurements.
Aug 04, 2024
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Study Reveals Significant Decline in River Ice Coverage on Yenisei River
A recent study published in the Journal of Hydrology has highlighted the dramatic changes in river ice coverage for the Yenisei River basin over the past two decades. Researchers found that the ice coverage on this major Siberian river has significantly decreased from 2002 to 2021, with the trend closely linked to rising winter air temperatures. This decline has profound implications for the Arctic environment and climate systems.
Jul 19, 2024
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Innovative 3D Gold Microelectrode Arrays Enhance Understanding of Neuronal Network Communication
In a recent study published in ACS Nano, a group of scientists led by Prof. CAI Xinxia from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences (CAS), in collaboration with international collogues, have developed an innovative approach to investigating the dynamics of neuronal networks. Utilizing three-dimensional gold microelectrode arrays, the scientists have significantly improved the ability to monitor and analyze communication within neuronal networks.
Jul 14, 2024
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Novel Cloud Monitoring Algorithm Promises Enhanced Accuracy
Researchers led by Professor HUSI Letu at the Aerospace Information Research Institute (AIR), Chinese Academy of Sciences (CAS), have developed a novel algorithm for measuring cloud property using neutral networks. The algorithm, known as CRANN (Cloud Retrieval Algorithm based on Neural Networks), focusing on retrieving cloud fraction and cloud-top pressure from hyperspectral measurements in the O2-O2 band. The findings were published in the journal Remote Sensing of Environment.
Jul 12, 2024
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