A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric traits and estimation of yields in both laboratory and field settings without the need for model retraining.
An international research team co-led by Prof. MENG Lingsen of the University of California, Los Angeles, and Prof. ZHANG Yunjun of the Aerospace Information Research Institute of the Chinese Academy of Sciences has reconstructed the earthquake's rupture process and mapped its damage in unprecedented detail using satellite remote sensing combined with seismic observations.
A research team led by Prof. LIU Liangyun from the Aerospace Information Research Institute of the Chinese Academy of Sciences has produced the first comprehensive, high-resolution map of global city and town boundaries, offering a view of how urban boundaries have expanded and transformed over the past two decades.
A research team led by Assoc. Prof. SUN Liqun from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Sciences developed a 10-meter resolution global dataset of centralized photovoltaic power plants.
A new study led by the Aerospace Information Research Institute of the Chinese Academy of Sciences, along with their collaborators, has demonstrated that high pressure can significantly enhance and precisely tune terahertz (THz) radiation from the two-dimensional semiconductor gallium telluride (GaTe).
A research team led by Prof. NIE Sheng from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new bathymetric mapping framework. This framework integrates the indirect inversion of land Elevation Satellite-2 (ICESat-2) LiDAR data with multi-source remote sensing observations. By combining wave-based indirect bathymetry, multi-source feature fusion, and a temporal sample-transfer strategy, it achieves high-accuracy, wide-coverage mapping in optically complex shallow waters.
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