Analysis method of remote sensing inversion of water color parameters of inland class II water

Abstract

The invention discloses an analysis method of remote sensing inversion of water color parameters of inland class II water. According to the method, inherent optical quantity of the class II water is inverted with an improved QAA (quasi-analytical algorithm), and concentration inversion of the water color parameters such as chlorophyll a and suspended matters is realized based on the inverted inherent optical quantity of the class II water. The method comprises specific steps as follows: (1), data of remote sensing reflectance above the surface of the water is input, parameter inversion of the inherent optical quantity of the water is realized based on the improved QAA, and absorption coefficients and scattering coefficients of the water and absorption coefficients of phytoplankton are acquired; (2), concentration data of the chlorophyll a and concentration data of the suspended matters of the water at a sampling point are input, a chlorophyll a concentration quantitative inversion model is established according to the concentration data of chlorophyll a and the absorption coefficients of the phytoplankton, and a suspended matter concentration quantitative inversion model is established according to the concentration data of the suspended matters and the absorption coefficients of the water after removal of pure water; (3), hyperspectral data finishing atmospheric correction are input, and concentration inversion of the water color parameters of the inland class II water in a monitoring area is realized according to the step (1) and the step (2).

Description

technical field [0001] The invention relates to the technical field of water body environment monitoring, in particular to an analysis method for remote sensing inversion of water color parameters of inland Class II water bodies. Background technique [0002] Inland water bodies are important natural resources that provide ecological diversity for human beings, but they are currently suffering from global pollution. Water pollution is one of the most prominent urban environmental problems. At present, the conventional ground water quality monitoring method is to set Numerous monitoring stations or use fixed-point automatic monitoring equipment to regularly obtain water quality parameter data at monitoring points, and use the results of station monitoring to evaluate the water quality of the monitoring surface water body and guide the surface water body monitoring and treatment. Although this method is for single-point water samples The accuracy is high, but there are problem...

AI Technical Summary

Problems solved by technology

[0002] Inland water bodies are important natural resources that provide ecological diversity for human beings, but they are currently suffering from global pollution. Water pollution is one of the most prominent urban environmental problems. At present, the conventional ground water quality monitoring method is to set Numerous monitoring stations or use fixed-point automatic monitoring equipment to regularly obtain water quality parameter data at monitoring points, and use the results of station monitoring to evaluate the water quality of the monitoring surface water body and guide the surface water body monitoring and treatment. Although this method is for single-point water samples The accuracy is high, but there are problems of time-consuming and labor-intensive and low efficiency, and the local points are not necessarily representative

Although traditional water quality monitoring methods play an irreplaceable role in water environment monitoring at present, it is difficult to meet the dynamic, rapid and macroscopic water quality monitoring requirements. The emergence of remote sensing technology provides new opportunities for water quality monitoring. Currently, remote sensing technology It has been successfully applied to the water quality monitoring of oceans, inland lakes, and rivers, and dynamic monitoring has been realized in some key areas

[0003] At present, the conventional remote sensing monitoring of water quality parameters is mainly based on empirical and semi-empirical methods. Although high accuracy can be obtained in water quality monitoring, these methods are based on mathematical statistics and do not have clear physical meaning. Analysis methods based on radiative transfer theory will be more widely used in water quality remote sensing monitoring due to their clear physical meaning and theoretical support, especially for inland Class II water bodies.

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