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Remote Sensing Technology and Application  2018, Vol. 33 Issue (5): 915-922    DOI: 10.11873/j.issn.1004-0323.2018.5.0915
    
Parameter Inversion of Internal Waves Using GF-3 Images based on Nonlinear Schrodinger Equation
Mei Yuan1,Wang Jing1,Sun Lina2,Zhang Xudong1,Meng Junmin2
(1.College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China;
2.First Institute of Oceanography,State Oceanic Administration,Qingdao 266061,China )
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Abstract  

GF-3 microwave remote sensing satellite provides abundant image data for deep research of internal waves.With the advantages of high spatial resolution and wide range imaging,high precision inversion of amplitude and velocity of internal waves near Dongsha Atoll in the South China Sea was conducted.The high order fully nonlinear Schrodinger equation was used to describe internal waves,and an inversion model of amplitude and wave velocity was established.GF-3 remote sensing images of internal wave from August 2016 to August 2017 near Dongsha Atoll were collected,which aims to explore the revolution of amplitude and propagation velocity at the continental slope of the South China Sea.The calculated results of theoretical model were compared with the measured data of the study area in 2013.The inversion amplitude was similar to the measured value.During the propagation process of internal waves from east to west,the water depth becomes shallower,the nonlinear effect is enhanced,the dispersion effect is weakened,both amplitude and propagation velocity decrease.This offers the references for quantitative study of the energy transportation,dissipation and future prediction of internal waves.

Key words:  Ocean internal wave      Microwave remote sensing      Inversion      Amplitude      Wave velocity     
Received:  27 October 2017      Published:  22 February 2019
ZTFLH:  P731.24  
  P23  
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Cite this article: 

Mei Yuan, Wang Jing, Sun Lina, Zhang Xudong, Meng Junmin. Parameter Inversion of Internal Waves Using GF-3 Images based on Nonlinear Schrodinger Equation. Remote Sensing Technology and Application, 2018, 33(5): 915-922.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2018.5.0915     OR     http://www.rsta.ac.cn/EN/Y2018/V33/I5/915

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