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.
An international research team from the National Time Service Center(NTSC) of the Chinese Academy of Sciences (CAS) and Curtin University in Australia has proposed a novel method to enhance the accuracy and integrity of low Earth orbit (LEO) satellite orbit predictions.
A research team led by Prof. ZHENG Hairong, Prof. LIU Chengbo, and Prof. ZHENG Wei from the Shenzhen Institute of Advanced Technology has developed a linear transducer-array-based hybrid microscope (LiTA-HM) that enables simultaneous, dynamic, high-resolution imaging of neuronal activity and microvascular behavior across the entire cortex of awake mice.
A research team led by Prof. YANG Hui at the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences developed a novel platform coupling microlens-based super-resolution optics with atomic force microscopy.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has presented the first satellite-scale retrieval of land surface temperature components—specifically, sunlit soil, shaded soil, and vegetation —by integrating multi-source observations and leveraging the thermal "hotspot" effect.
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