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Volume 43 Issue 12
Dec.  2021
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Article Contents
Zhou Yong,Zhang Dong,Deng Huili, et al. The enhanced construction method for intertidal terrain of offshore sandbanks by remote sensing[J]. Haiyang Xuebao,2021, 43(12):133–143 doi: 10.12284/hyxb2021169
Citation: Zhou Yong,Zhang Dong,Deng Huili, et al. The enhanced construction method for intertidal terrain of offshore sandbanks by remote sensing[J]. Haiyang Xuebao,2021, 43(12):133–143 doi: 10.12284/hyxb2021169

The enhanced construction method for intertidal terrain of offshore sandbanks by remote sensing

doi: 10.12284/hyxb2021169
  • Received Date: 2020-10-05
  • Rev Recd Date: 2020-12-09
  • Available Online: 2021-05-06
  • Publish Date: 2021-12-30
  • The waterline method is an important method for remote sensing inversion of intertidal terrain. Aiming at the problems in the digital elevation model (DEM) construction with variable topography, which the waterlines intersect and lack of representation of micro-topography for the tidal creek in the conventional waterline method, an enhanced terrain remote sensing construction method was proposed in this paper. First, the waterlines with the correct trend of elevation change and spatial separation were selected through tidal level sorting. Second, the images group with similar waterlines position in the screening process were combined according to the mean of a sequence of the modified normalized difference water index values in each pixel, and the boundary line of land-sea was obtained. These two methods worked together to construct the initial intertidal DEM. Then, the tidal creek DEM was generated by using the boundary and centerline of the tidal creek in the low tide period. Through the mosaic processing, the tidal flat DEM that can express the undulating micro-topography of the beach surface was constructed. Comparing with the measured terrain, the results in the central core area of the radial sand ridges off the coast of Jiangsu showed that the mean absolute error of the 4 measured sections was 0.43 m, the root mean square error was 0.54 m, and the average correlation (r) was 0.75. The simulation results and the measured results were in good agreement with the changes in beach undulations. Furthermore, the spatial fragmentation of the simulated DEM was small and can reflect more detailed terrain features. This method can provide a new idea for constructing high-precision DEM of intertidal zone considering micro terrain changes by using multi-source remote sensing data.
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