International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 941–943, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-941-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 941–943, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-941-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Feb 2020

08 Feb 2020

SHALLOW BATHYMETRY ESTIMATION BASED ON LANDSAT 8 REMOTELY SENSED DATAAT BOHAI SEA

D. J. Zhang1, J. Zhan1, C. X. Wang1, and G. Q. Zhou2 D. J. Zhang et al.
  • 1School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
  • 2Guangxi Key Laboratory for Spatial Information and Geomatics, Guilin University of Technology, Guilin, 541004, China

Keywords: Landsat 8 OLI, Bohai, remote sensing image, shallow bathymetry

Abstract. Bathymetry is a key variable in ocean monitoring and measurement research. It becomes more and more important for development of rapid method to invert shallow sea water depth. In this study, a water depth inversion method based on multi-band model is established to analyze the relationship between different bands of Landsat 8 OLI multi-spectral and measured data. The average absolute error of the model is 1.48m at 10–20m water depth and the average relative error is 13.12%. The water depth inversion accuracy under normal conditions are achieved, indicating that the model will have a promising practical application in the future.