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Multi-source data fusion of big spatial-temporal data in soil, geo-engineering and environmental studies

机译:土壤,地理工程与环境研究中大空间数据的多源数据融合

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摘要

In the last decades, modern Information and Communication Tech-nologies (ICT) and the increasing capability of data storage devices and facilities enable collecting large datasets acquired through different sources. The global amount of data is experiencing exponential growth. It is estimated that all digital technologies will produce data in the order of 10~(21) bytes (i.e. zettabytes) over the next few years (Reinsel et al., 2017; Phoon et al., 2020). This trend is also fostered by recent advances in sensing technologies, which provide an ever-growing amount of high-quality and high-resolution data (Viscarra Rossel and Bouma, 2016): we are definitely in the Era of big data!
机译:在过去的几十年中,现代信息和通信技术(ICT)和数据存储设备和设施的增加能力使得通过不同来源获取的大型数据集。 全球数据量正在遇到指数增长。 据估计,在未来几年内,所有数字技术将以10〜(21)字节(即Zettabytes)的数据产生数据(Reinsel等,2017; Phoon等,2020)。 近期传感技术的进步也促进了这种趋势,这提供了越来越多的高质量和高分辨率数据(Viscarra Rossel和Bouma,2016):我们绝对是大数据的时代!

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  • 来源
    《Science of the total environment》 |2021年第20期|147842.1-147842.6|共6页
  • 作者单位

    Department of Engineering and Geology (InGeo) University 'G. d'Annunzio' of Chieti-Pescara Via dei Vestini 31 Chieti Italy;

    Department of Engineering and Geology (InGeo) University 'G. d'Annunzio' of Chieti-Pescara Via dei Vestini 31 Chieti Italy;

    Agricultural University of Athens Iera Odos 75 Athens Greece;

    Faculty of Agriculture University of Zagreb Svetosimunska 25 Zagreb Croatia;

    Soil & landscape Science School of Molecular and Life Sciences Faculty of Science and Engineering Curtin University G.P.O. Box U1987 Perth WA 6845 Australia;

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