极地研究 ›› 2019, Vol. 31 ›› Issue (4): 421-430.DOI: 10.13679/j.jdyj.20180057

• 研究论文 • 上一篇    下一篇

机载冰雷达原始数据质量监测系统及其应用进展

张文博1  稂时楠1  崔祥斌2  赵钰恺1,2  包振山1   

  1. 1.北京工业大学信息学部, 北京 100124
    2.中国极地研究中心, 上海 200136
  • 收稿日期:2018-10-08 修回日期:2019-04-10 出版日期:2019-12-30 发布日期:2019-12-30
  • 通讯作者: 张文博
  • 基金资助:
    国家重点基础研究发展计划(2017YFC0803300)和国家自然科学基金(41606219, 41776186)资助

Progress in application of quality management system for the airborne ice-sounding raw data

Zhang Wenbo1, Lang Shinan1 , Cui Xiangbin2  Zhao Yukai1,2, Bao Zhenshan1   

  1. 1.Faculty of Information, Beijing University of Technology, Beijing 100124, China;
    2.Polar Research Institute of China, Shanghai 200136, China
  • Received:2018-10-08 Revised:2019-04-10 Online:2019-12-30 Published:2019-12-30

摘要: 高水平的研究都需要基于精准的原始数据, 如何克服极地恶劣环境的影响提升原始数据采集的鲁棒性, 是南极科学考察中一项极富挑战的工作, 这些原始数据将会直接影响后续一系列重要科研成果。由于意识到原始数据质量监测过程的重要性, 冰桥计划和雪鹰601中都采用了相应的数据质量监测方案, 在一定程度上提升了机载冰雷达数据采集和运输过程中原始数据的完整性和安全性。然而, 脱离数据本质的质量监测成效甚微, 若要有效提升机载冰雷达数据质量, 一方面需要从机载冰雷达数据特征入手进行监测; 另一方面需要结合同时采集的多源数据, 通过构建时空维度的全方位监管, 展开对关联原始数据质量控制的研究, 才能在全生命周期有效保障原始数据的安全。

关键词: 冰雷达数据质量管理, 机载冰雷达数据, 南极, 冰桥计划, 雪鹰601

Abstract: Top-quality research requires accurate raw data. In the context of Antarctic research, the extreme polar environment presents a challenge to accurate data collection and quality assurance. However, the quality of raw data directly affects the subsequent series of important scientific investigations. In this study, we evaluate the application of quality management procedures to data collected by the IceBridge project and Snow Eagle 601, which improve the integrity and security of the raw data by acting to protect the data collection and transport process of airborne ice radar data. Recognizing that effective data quality monitoring must also take into account the nature of the data itself, we additionally recommend simultaneous multi-source data collection to monitor and ensure the quality of the collected data by constructing an all-around supervision of the space-time dimension, so as to effectively guarantee the security of the original data throughout its entire life cycle.

Key words: ice-sounding raw data quality management, airborne ice-sounding data, Antarctica, IceBridge, Snow Eagle 601