A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new method for evaluating urban sustainability, leveraging high-resolution data from the SDGSAT-1 satellite.
A new study led by researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences has for the first time mapped the long-term, large-scale transport pathways of PM2.5 pollution across China spanning from 2000 to 2021, providing scientific support for refining national air quality management strategies.
A new study has revealed that tiny organisms called snow algae are significantly contributing to the surface melting on Antarctic ice shelves. The discovery could have far-reaching implications for global sea level rise.
Researchers from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and the Peking Union Medical College Hospital developed a deep learning-based multimodal prognostic prediction model, CerviPro, which provides a comprehensive approach for risk stratification, enabling personalized treatment strategies.
A recent study offers the first city-level analysis of urban sustainability trends across over 7,000 urban centers in the Belt and Road Initiative region. Using multi-temporal Earth observation data, the study assesses two indicators tied to Sustainable Development Goal 11—Land Use Efficiency and population-weighted PM2.5 concentrations—from 2000 to 2020. It delivers a spatiotemporal breakdown of how urban expansion and environmental exposure intersect with sustainability.
A research team led by Prof. CHENG Tianhai from the Aerospace Information Research Institute of the Chinese Academy of Sciences has made a breakthrough by developing a high-resolution satellite remote sensing method to quantify global methane emissions from landfills.
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