Shallow sea water depth inversion method based on high-spectrum data of blue-yellow wave band

Abstract

The invention discloses a shallow sea water depth inversion method based on high-spectrum data of a blue-yellow wave band. Currently, models which perform depth inversion on clean water body through an optical remote sensing facility are mostly established for aiming at multiple-spectrum data. The algorithm is restricted by wide spectrum data wave band and little spectrum information. The inversion precision is largely affected by type of water body sediment. The invention provides a novel method for inversing shallow sea water depth of the clean water body through utilizing the high-spectrum data of the blue-yellow wave band (450-610 nanometers) according to a water body optical attenuation mechanism based on the high-spectrum data. The method can accurately extract shallow sea water depth distribution information within 30 meters. Furthermore one algorithm coefficient calibration is required for one remote sensor, thereby remarkably improving universality of the algorithm.

Description

technical field [0001] The invention relates to a satellite remote sensing application technology, in particular to a marine optical remote sensing clean water shallow sea depth inversion technology. Background technique [0002] When the solar radiation propagates in the water body, the attenuation effect of the water body material molecules mainly includes absorption and scattering. This effect will be manifested by the difference in the spectral reflectance of the visible light band on the surface of the water body, and as the depth of the water body increases, the attenuation will increase. . For a clean water body (a type of water body), the content of soluble organic matter (CDOM), suspended sediment, and absorbing chlorophyll a in the water body is low, and the attenuation rate of solar radiation in the water body is low. The depth of the penetrable water body increases, so that it can reach the bottom of the water body and reach the surface of the water body through...

AI Technical Summary

Problems solved by technology

The semi-analytic method also needs to correct the algorithm coefficients based on the measured water depth data collected in different water areas, and because the multispectral data has a wide band and limited spectral information, the above algorithms all assume a single type of water bottom, so the water depth inversion error will vary with Substantial increase in complexity of substrate types

Images