Showing 1 - 20 results of 52 for search '"Two Chinas"', query time: 0.16s Refine Results
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    Lunar Radiometric Measurement Based on Observing China Chang’E-3 Lander with VLBI—First Insight by SongTao Han, ZhongKai Zhang, Jing Sun, JianFeng Cao, Lue Chen, Weitao Lu, WenXiao Li

    Published 2019-01-01
    “…Since July 2014, OCEL (Observing Chang’E-3 Lander with VLBI) project has been conducted jointly by IVS (International VLBI Service of Geodesy and Astrometry) and BACC (Beijing Aerospace Control Center), a global IVS R&D network augmented with two China Deep Space Stations configured for OCEL. …”
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    China’s product-level CO2 emissions dataset aligned with national input-output tables from 1997 to 2020 by Xinbei Li, Yu Liu, Jing Zhang, Meifang Zhou, Bo Meng

    Published 2025-01-01
    “…It includes data from 4 to 5 energy sectors and detailed emissions for 18 types of fossil fuels, using both IPCC-default and two China-specific emission factors. This inventory improves product-sector emission accounting and can be integrated into IOT-based climate and energy models, serving as a fundamental database for energy and emission analysis.…”
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    The combined effectiveness of acoustic indices in measuring bird species richness in biodiverse sites in Cyprus, China, and Australia by Christos Mammides, Pan Wuyuan, Guohualing Huang, Rachakonda Sreekar, Christina Ieronymidou, Aiwu Jiang, Eben Goodale, Harris Papadopoulos

    Published 2025-01-01
    “…Using the Boruta feature selection algorithm and random forest regressors, we find that the effectiveness of the indices varies considerably across study areas, and it is generally lower than what would be required to monitor bird species richness accurately (R2Cyprus = 0.06, R2China = 0.31, R2Australia = 0.52). Moreover, the most useful set of indices varied for each area; none of the sixty indices were useful in all three areas, and only three indices were useful in more than one area. …”
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    Spatial distribution and influencing factors of China’s overseas farmland investment projects under the background of food security by Yameng Wang, Fan Zou, Luning Wang, Huawang Jin, Linyan Ma

    Published 2025-01-01
    “…The results show that: (1) At present, the host countries of China’s overseas cultivated land investment have obvious spatial aggregation, showing the spatial characteristics of “small agglomeration and large dispersion,” and have the characteristics of distribution along the border and river; (2) China’s overseas farmland investment is affected by geo-economy, resource base, geo-culture and geopolitics, and the degree of impact is weakened in turn. …”
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