Small watershed water quality monitoring method based on spectral analysis

Abstract

The invention provides a small watershed water quality monitoring method based on spectral analysis. The method comprises the following steps: respectively acquiring spectral image data and water quality data of a garden lake; preprocessing the spectral image data to obtain complete remote sensing image data; based on a partial least squares regression analysis method, obtaining integrated data of remote sensing image data and water quality data with strong relevance; taking the integrated data as a data set for garden and lake water quality inversion, and performing K cross validation separation to obtain at least one data inversion model; visualizing the fitting degree of the data inversion model and the original data of the integrated data; performing inversion progress verification based on the data inversion model; and generating each parameter concentration distribution diagram of the water quality data. The unmanned aerial vehicle carries the multispectral sensor, and the water quality monitoring system is combined to detect the water quality elements of the garden lake, so that a more comprehensive data source and a new technical means are provided for monitoring the water quality of the garden water body, and the overall water quality condition of the garden lake can be rapidly and effectively monitored.

Description

technical field [0001] The invention relates to the technical field of water quality monitoring of garden reservoirs, in particular to a small watershed water quality monitoring method based on spectral analysis. Background technique [0002] The existing water quality element inversion methods are mainly based on satellite remote sensing images, but limited by the resolution of satellite remote sensing images, they are mainly used in areas with large water areas. Therefore, the detection effect on garden lakes is poor. [0003] Based on this, the present invention detects the water quality elements of garden lakes through the method of carrying multispectral sensors on drones combined with a water quality monitoring system. The resolution of multispectral images is high, and the inversion result data is more accurate. More comprehensive data sources and new technical means. Contents of the invention [0004] In view of the deficiencies in the prior art, the purpose of th...

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Problems solved by technology

[0002] The existing water quality element inversion methods are mainly based on satellite remote sensing images, but limited by the resolution of satellite remote sensing images, they are mainly used in areas with large water areas. Therefore, the detection effect on garden lakes is poor

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