Water depth is an important marine elements, and one of the main contents of marine surveying andmapping. Compared with traditional single-beam and multi-beam sonar measurement methods, remote sensingmethod has become an important supplementary method for bathymetric data of the area that the vessel can notbe directly reached，due to its advantages of large-scale and low-cost.Sun glitter is an interference factor of shallow water depth multispectral remote sensing, and it contains waterdepth information. Therefore, how to separate the sun glitter information and water radiation information, andimprove the inversion ability of water depth using the two parts of information, is a scientific and practicalresearch topic.In this study, the Lingshui Bay of Hainan Island was selected as the main study area, and the sun glitter separationmethod of high resolution multispectral remote sensing images and the semi-empirical water depth inversionmodels are evaluated and analyzed. And a multi-spectral remote sensing inversion method for water depthwithout the support of measured water depth data was developed. The following research results are obtained:The semi-empirical water depth inversion models were used for inversion and evaluation analysis of the waterradiation information obtained by different sun glitter separation methods. Results showed that the logarithmicratio depth model with blue and green bands is the best in the shallow area of 10 m. When the solar radiation ofremote sensing image is weak, the best water depth inversion results can be obtained using Martin algorithm, theR2 is 0.94, the RMSE is 1.27m. When the solar radiation of remote sensing image is strong, the best water depthinversion results can be obtained using Hedley algorithm, the R2 is 0.89, the RMSE is 0.94m.A multispectral remote sensing water depth inversion algorithm without the support of measured water depthdata was developed based on sun glitter information and water radiation information. The evaluation resultsshowed that RMSE is 0.92m in shallow waters with depth less than 6m. Therefore, this algorithm has a certainapplication potential in shallow sea area without measured data.
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