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Spectral morphological characteristic-based hyperspectral water quality parameter quantitative inversion method

A technology of morphological characteristics and water quality parameters, which is applied in the field of quantitative inversion of hyperspectral water quality parameters to achieve the effect of accurate acquisition

Active Publication Date: 2018-09-28
中国地质环境监测院 +1
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for quantitative inversion of hyperspectral water quality parameters based on spectral morphological features, thereby solving the aforementioned problems existing in the prior art

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specific Embodiment

[0080] In the embodiment of the present invention, Hubei Daye, an important mining town in my country's typical Yinkuangxing City, is selected as the work area. This area is located in the middle and lower reaches of the Yangtze River. There are many lakes, rivers and other water systems. The mining development activities cause different degrees of pollution to the water environment. Using the hyperspectral water quality parameter quantitative inversion method based on spectral morphological characteristics provided by the present invention, the quantitative inversion of the water quality parameters in the work area can be carried out according to the following steps:

[0081] (1) According to the distribution of water bodies in the work area, design water sample and hyperspectral data collection locations, and simultaneously carry out water sample collection, ground spectral measurement and hyperspectral UAV flight.

[0082] Among them, a total of 11 groups of water samples we...

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Abstract

The invention discloses a spectral morphological characteristic-based hyperspectral water quality parameter quantitative inversion method, relating to the field of water quality remote sensing. The method comprises the steps of comparing and analyzing ground measured spectral data and hyperspectral image data, extracting a spectral curve morphological characteristic, selecting a ground measured spectral morphological characteristic significantly correlated to water quality parameters and building a ground measured spectral data-based inversion model, building a hyperspectral inversion model ofeach water quality parameter with a spectral morphological characteristic selected by the inversion model built based on the ground measured spectral as an independent variable, and applying the hyperspectral inversion model to a hyperspectral image to acquire a water quality parameter inversion result of a working area. Through adoption of the method, multivariate regression models of common chemical water quality parameters such as pH and hardness can be built, multiple types of water quality parameter information can be acquired from point to surface rapidly and accurately, and a new technological method is provided for regional water environment dynamic monitoring.

Description

technical field [0001] The invention relates to the field of water quality remote sensing monitoring, in particular to a hyperspectral water quality parameter quantitative inversion method based on spectral morphological features. Background technique [0002] The basis of water environment monitoring is water quality monitoring. The current routine water quality monitoring mainly adopts on-site measurement or taking water samples for indoor laboratory analysis. Its advantage is that it can accurately measure various water quality indicators of the water body. As a result, the overall accuracy is not high, time-consuming and labor-intensive, and it is even more difficult to realize the dynamic monitoring of regional water bodies when this "point instead of area" working method is faced with regional analysis. [0003] The application of remote sensing in water quality monitoring has developed from the initial simple identification of water areas to the inversion of water qua...

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Application Information

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IPC IPC(8): G01N21/25
CPCG01N21/25G01N2021/1793
Inventor 彭令徐素宁梅军军陈启浩王仁政
Owner 中国地质环境监测院
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