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Comparative Study on Coastal Depth Inversion Based on Multi-source Remote Sensing Data

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Abstract

Coastal depth is an important research focus of coastal waters and is also a key factor in coastal environment. Dongluo Island in South China Sea was taken as a typical study area. The band ratio model was established by using measured points and three multispectral images of Landsat-8, SPOT-6 (Systeme Probatoire d’Observation de la Terre, No.6) and WorldView-2. The band ratio model with the highest accuracy is selected for the depth inversion respectively. The results show that the accuracy of SPOT-6 image is the highest in the inversion of coastal depth. Meanwhile, analyzing the error of inversion from different depth ranges, the accuracy of the inversion is lower in the range of 0–5 m because of the influence of human activities. The inversion accuracy of 5–10 m is the highest, and the inversion error increases with the increase of water depth in the range of 5–20 m for the three kinds of satellite images. There is no linear relationship between the accuracy of remote sensing water depth inversion and spatial resolution of remote sensing data, and it is affected by performance and parameters of sensor. It is necessary to strengthen the research of remote sensor in order to further improve the accuracy of inversion.

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Acknowledgment

We would like to thank Guangzhou Marine Geological Survey of China for its data support.

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Authors and Affiliations

  1. College of Geo-exploration Science and Technology, Jilin University, Changchun, 130026, China

    Tianqi Lu, Shengbo Chen, Yan Yu, Yijing Cao & Deyang Jiang

  2. College of Earth Sciences, Guilin University of Technology, Guilin, 541006, China

    Yuan Tu

Authors
  1. Tianqi Lu
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  2. Shengbo Chen
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  3. Yuan Tu
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  4. Yan Yu
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  5. Yijing Cao
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  6. Deyang Jiang
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Corresponding author

Correspondence to Shengbo Chen.

Additional information

Foundation item: Under the auspices of the Program for Jilin University Science and Technology Innovative Research Team (No. JLUSTIRT, 2017TD-26), Plan for Changbai Mountain Scholars of Jilin Province, China

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Lu, T., Chen, S., Tu, Y. et al. Comparative Study on Coastal Depth Inversion Based on Multi-source Remote Sensing Data. Chin. Geogr. Sci. 29, 192–201 (2019). https://doi.org/10.1007/s11769-018-1013-z

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  • DOI: https://doi.org/10.1007/s11769-018-1013-z

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