Abstract
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.
Highlights
As an important indicator of ocean measurement, water depth is a topographical factor that cannot be ignored in shallow waters[1,2,3]
According to the characteristics of water depth inversion, it can be divided into hyper-spectral remote sensing water depth inversion, Lidar sounding and shallow seawater deep fusion detection
The discharge of human pollutants, the dumping of marine debris, and the discharge of sewage from chemical parks have caused the rapid change for shallow water depth of Bohai Sea. (2) The optical characteristics of the Bohai Sea itself
Summary
As an important indicator of ocean measurement, water depth is a topographical factor that cannot be ignored in shallow waters[1,2,3]. According to the physical and optical properties of the ocean, we can find that among the 11 bands of the Landsat 8 OLI remote sensing image, the correlation coefficient between the third band and the measured water depth data is the highest. Sensing methods is the high accuracy of the obtained data. 2.METHOD The functional model of the measured water depth data and the reflectance of 11 different bands in the. The total sounding points are 65535 and the depth of the sounding point is mostly between 3 m and 65 m
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