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首页> 外文期刊>International journal of remote sensing >Reconstruction of sand wave bathymetry using both satellite imagery and multi-beam bathymetric data: a case study of the Taiwan Banks
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Reconstruction of sand wave bathymetry using both satellite imagery and multi-beam bathymetric data: a case study of the Taiwan Banks

机译:利用卫星图像和多波束测深数据重建沙波测深:以台湾银行为例

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摘要

Sand waves are a widespread bed-form in the tidal environment. Their formation, migration, and other properties have great significance in the fields of geology and oceanography. Currently, research on sand waves is mainly based on multi-beam bathymetric (MB) data. For large sand wave regions, however, the acquisition ability of MB data becomes limited; instead, interval-line measurement is adopted but with the inherent problem that it cannot achieve the full spatial coverage required. Reconstructed sand wave bathymetry (SWB) using interpolation algorithms cannot reflect the real SWB either. In this article, we propose a new approach in using both satellite imagery and MB data to reconstruct SWB, which takes advantage of characteristic information (ripple and crest) of SWB rendered in satellite imagery and MB data. The new approach is exemplified by a case study of the Taiwan Banks. We use the imagery obtained by the Charge-Coupled Device from the Small Satellite Constellation for Environment and Disaster Monitoring and Forecasting, and the MB data from R2Sonic to reconstruct the digital elevation model. The results show that the root mean square error of the reconstructed water depth is 1.47 m (compared to the MB data not using this approach), suggesting that the new approach is effective in reconstructing SWB. This approach allows a reduction in MB data track density, which may lead to an improvement in efficiency.
机译:在潮汐环境中,沙波是一种广泛的床形。它们的形成,迁移和其他特性在地质和海洋学领域具有重要意义。当前,对沙浪的研究主要基于多波束测深(MB)数据。但是,对于较大的砂波区域,MB数据的采集能力受到限制;取而代之的是,采用了间隔线测量,但是存在一个固有的问题,即不能达到所需的全部空间覆盖范围。使用插值算法重建的沙波测深法(SWB)也不能反映真实的SWB。在本文中,我们提出了一种同时使用卫星图像和MB数据重建SWB的新方法,该方法利用了在卫星图像和MB数据中呈现的SWB的特征信息(波纹和波峰)。台湾银行的案例研究证明了这种新方法。我们使用电荷耦合装置从小型卫星星座获得的图像进行环境和灾害监测与预报,并使用R2Sonic的MB数据重建数字高程模型。结果表明,重建水深的均方根误差为1.47 m(与未使用该方法的MB数据相比),表明该新方法可有效地重建SWB。这种方法可以降低MB数据磁道密度,从而可以提高效率。

著录项

  • 来源
    《International journal of remote sensing》 |2014年第10期|3286-3299|共14页
  • 作者单位

    Department of Earth Sciences, Zhejiang University, Hangzhou, China;

    Department of Earth Sciences, Zhejiang University, Hangzhou, China;

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, China;

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, China;

    State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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