A recent study has introduced a novel data-driven model that distinguishes between human-induced and natural water consumption in croplands, providing valuable insights into the sustainability of arid lake ecosystems.
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences has released a long-term, high-resolution dataset that tracks global cropland water-use efficiency from 2001 to 2020. The dataset provides annual WUE estimates for croplands worldwide at a one-kilometer spatial resolution. It is expected to be a valuable resource for promoting sustainable agricultural water management.
Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences have developed a novel method for mapping carbon dioxide (CO₂) emissions across Nanchang, the capital city of Jiangxi province in eastern China. This study provides a clearer picture of the city's carbon footprint
Scientists from the Aerospace Information Research Institute of the Chinese Academy of Sciences, in collaboration with Shihezi University, have developed a new method for grading cotton Verticillium wilt (VW). This method correlates with yield loss and is suitable for remote sensing monitoring to assess the severity of VW.
A research team led by Academician ZHENG Hairong and Prof. MENG Long from the Shenzhen Institutes of Advanced Technology, collaborating with Prof. TIAN Zhenhua from Virginia Tech, developed oscillating microbubble array–based metamaterials (OMAMs) for efficiently isolating exosomes from undiluted whole blood without labeling or pretreatment procedures.
A research team led by Prof. LIU Chengbo from the Shenzhen Institutes of Advanced Technology developed a 1.7-gram head-mounted microscope. This innovative device can simultaneously capture neural activity and cerebral hemodynamics in freely moving mice, providing a novel tool for exploring neurovascular coupling in the brain and studying neurological disorders.
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