Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data

Huaguo ZHANG; Juan WANG; Dongling LI; Bin FU; Xiulin LOU; Ziyin WU

doi:10.1007/s00343-021-1216-5

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Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data

Geology | Updated：2023-05-19

- Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data
- Journal of Oceanology and Limnology Vol. 40, Issue 5, Pages: 1924-1936(2022)
- Affiliations：
  
  1.State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
  2.Key Laboratory of Submarine Geosciences, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
  3.School of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China
- Author bio：
  
  Huaguo ZHANG,zhanghg@sio.org.cn
  Ziyin WU,zywu@vip.163.com
- Funds：
- DOI：10.1007/s00343-021-1216-5
  CLC：
- Received：05 July 2021，
  
  Accepted：31 August 2021，
  
  Online First：28 October 2021，
  
  Published：2022-09
- Accepted：
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Huaguo ZHANG, Juan WANG, Dongling LI, et al. Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1924-1936.
DOI：

Huaguo ZHANG, Juan WANG, Dongling LI, et al. Reconstruction of large complex sand-wave bathymetry with adaptive partitioning combining satellite imagery and sparse multi-beam data[J]. Journal of Oceanology and Limnology, 2022, 40(5): 1924-1936. DOI： 10.1007/s00343-021-1216-5.

摘要

Abstract

Shallow marine sand waves are formed on the seabed and are widely distributed within tidal environments. However

the use of multibeam echo sounding (MBES) is costly to obtain the bathymetric mapping of large complex sand waves. Therefore

we propose a new method that employs a combination of multiangle sun glint images and sparse MBES data to achieve comprehensive bathymetric mapping of large and complex sand waves. This method involves estimating sea surface roughness

automatically extracting sand-wave crests

conducting adaptive subregion partitioning

estimating the water depth at auxiliary points

and generating digital bathymetric models. The method was employed in a case study of sand waves on the Taiwan Bank. Bathymetric mapping was implemented for large complex sand waves over an area spanning approximately 350 km

using multiangle sun glint images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer and MBES data. The results show that mapped and measured water depths were well-matched; the root-mean-square error of water depths was 1.77 m

and the relative error was 5.03%. These findings show that bathymetric mapping of large complex sand waves can be effectively conducted using the new method

and as such

the workload of MBES is reduced and efficiency is improved.

关键词

Keywords

references

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