Inland lake water body phycocyanin concentration remote sensing inversion model and method

A remote sensing inversion, phycocyanin technology, applied in character and pattern recognition, instrument, scattering characteristic measurement, etc., can solve problems such as applicability limitation, complex optical characteristics, unstable three-band parameters, etc., to reduce the calculation results. error, the effect of improving the accuracy of the inversion model

Pending Publication Date: 2020-11-03
HUAIYIN TEACHERS COLLEGE
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Problems solved by technology

However, the water composition and optical characteristics of inland lakes are complex, which causes the "drift" phenomenon of the characteristic bands of the water body, making it impossible to accurately determine the characteristic bands of phycocyanin in different water bodies
The commonly used dual-band ratio model is prone to saturation when used in high-turbidity water bodies. The three-band parameters are unstable and the applicability is limited. Therefore, it needs to be further improved for the application of phycocyanin concentration inversion in high-turbidity water bodies such as inland lakes. inversion model

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  • Inland lake water body phycocyanin concentration remote sensing inversion model and method
  • Inland lake water body phycocyanin concentration remote sensing inversion model and method
  • Inland lake water body phycocyanin concentration remote sensing inversion model and method

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Embodiment

[0072] The remote sensing inversion method of phycocyanin concentration in inland lake water in this embodiment is based on the measured hyperspectral data, using the water optical characteristics and water component information collected by Hongze Lake, a total of 80 sampling points, these sampling points are evenly distributed and It completely covers the entire lake area of ​​Hongze Lake. Hongze Lake is one of the five largest freshwater lakes in my country, with an average water depth of 5.62m. The resuspension of sediments at the bottom of the lake is greatly affected by the wind and waves on the lake surface. It is a water body with high turbidity and is a typical inland second-class water body. The data of 80 sampling points are randomly divided into two parts, of which the data of 60 sampling points are used for model construction, and the data of 20 sampling points are used for model testing. The process of remote sensing inversion method for phycocyanin concentration...

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Abstract

The invention further provides an inland lake water body phycocyanin concentration remote sensing inversion method. The remote sensing inversion model of phycocyanin concentration in inland lakes is the extreme random tree model of Python language, and model parameters of the extreme random tree model. The remote sensing inversion model for the phycocyanin concentration of the inland lake water body can reduce calculation result errors and improve the precision of the inversion model for the phycocyanin concentration of the water body, and is ingenious in design, simple and convenient to calculate, easy to implement, low in cost and suitable for large-scale popularization and application.

Description

technical field [0001] The invention relates to the technical field of inland lake water environment monitoring, in particular to the technical field of inland lake water phycocyanin concentration measurement, and specifically refers to a remote sensing inversion model and method for inland lake water phycocyanin concentration. Background technique [0002] The aggravation of eutrophication in inland lakes often causes abnormal growth of blue-green algae, resulting in the outbreak of algae blooms, polluting the water quality of lakes, and seriously affecting the water safety of the surrounding population. Phycocyanin is an important pigment for photosynthesis of cyanobacteria and can be used as a symbolic pigment for cyanobacteria monitoring. Therefore, remote sensing inversion and model quantitative estimation of phycocyanin are the basis for strengthening high-frequency and rapid monitoring of phycocyanin in water bodies (Ma Ronghua, Kong Weijuan, Duan Hongtao, etc. Estima...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/20G06K9/62G01N21/31G01N21/25G01N21/55
CPCG01N21/31G01N21/25G01N21/55G06V20/194G06V20/13G06V10/143G06F18/24323
Inventor 姜晓剑吴莹莹朱元励李卓任海芳
Owner HUAIYIN TEACHERS COLLEGE
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