测绘通报 ›› 2024, Vol. 0 ›› Issue (2): 129-133,139.doi: 10.13474/j.cnki.11-2246.2024.0223

• 技术交流 • 上一篇    下一篇

遥感水深反演海道测量业务化应用中的评估与思考

王昭1,2, 白亭颖2   

  1. 1. 武汉大学资源与环境科学学院, 湖北 武汉 430079;
    2. 交通运输部北海航海保障中心 天津海事测绘中心, 天津 300220
  • 收稿日期:2023-07-04 出版日期:2024-02-25 发布日期:2024-03-12
  • 作者简介:王昭(1982—),男,博士生,高级工程师,研究方向为海道测量、海洋地理信息工程。E-mail:wangzhao8734@163.com
  • 基金资助:
    国家自然科学基金(42071448)

Assessment and reflection on the operational application of Satellite-Derived Bathymetry in hydrography

WANG Zhao1,2, BAI Tingying2   

  1. 1. School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China;
    2. Tianjin Hydrographic Center, Northern Navigation Service Center of Ministry of Transport, Tianjin 300220, China
  • Received:2023-07-04 Online:2024-02-25 Published:2024-03-12

摘要: 水深是海道测量最重要的地理要素,反映海底地貌形态和航区通航能力,在海道测量中占有重要的地位,遥感水深反演(SDB)对于补充传统声学测深系统效率不足具有重要意义。本文通过对现有研究总结,从实地因素、影像因素和反演方法3个维度分析了反演考量的要素,对照海道测量精度要求和业务化需求两个维度对水深反演适用性进行了评估。结果表明,精度方面,SDB水平精度已经满足要求,大部分多光谱反演相对垂直精度约达20%,但受水体浑浊程度影响较大,距海道测量业务化应用尚有不足,海底覆盖方面已经有了很好的实践。最后,从不确定性可控性、反演模型外推和多源数据同化方面分析了SDB应用所面临的问题,并给出了一些思考和建议。

关键词: 遥感水深反演, 海道测量, 业务化, 精度评估, 水深质量评估

Abstract: Bathymetry is the most important geographical element of hydrography, reflecting the geomorphology of the seabed and the navigability of maritime routes, and occupying an important position in hydrography. Satellite-derived bathymetry has become a potential complement to traditional acoustic bathymetry systems. Firstly, this paper summarizes the existing studies, and analyzes the elements considered in SDB from three aspects: reality factors, image factors, and bathymetry-derived models. Secondly, the applicability of SDB is evaluated against hydrographic accuracy and operationalization needs. The results show that:①The horizontal accuracy of SDB has met the requirements.②The relative vertical accuracy is around 20% for most multispectral data, which still does not meet the operationalized accuracy requirements.③There is already good practice in seafloor coverage using SDB. Finally, the problems are analyzed in terms of uncertainty controllability, bathymetry-derived model extrapolation, and multi-source data assimilation, and some thoughts and suggestions are given.

Key words: satellite-derived bathymetry, hydrography, operationalisation, accuracy assessment, bathymetric quality assessment

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