Process-oriented remote sensing estimation method for total amount of algae in eutrophic lake

Abstract

The invention relates to a process-oriented remote sensing estimation method for the total amount of algae in a eutrophic lake. The total algae amount is characterized by chlorophyll a content, and the method comprises the following steps: constructing a binary tree, performing Chl-a vertical distribution type judgment on each pixel of remote sensing image data, and dividing the pixels into Chl-avertical uniform distribution and Chl-a vertical power function distribution types; determining a Chl-a vertical distribution function corresponding to the pixel based on the pixel Chl-a vertical distribution type; carrying out integral calculation on the Chl-a vertical distribution function, and obtaining the total algae amount in a water column corresponding to each pixel in combination with thepixel size, wherein the sum of the total algae amount of all the pixels is the total lake algae amount. According to the method, the method for identifying the Chl-a vertical distribution type in theeutrophic lake water column based on the pixel scale is constructed, the parameterization of the Chl-a vertical distribution function is achieved based on the remote sensing surface Chl-a, and the remote sensing estimation of the total algae amount in the water column corresponding to different pixels can be achieved.

Description

technical field [0001] The invention relates to satellite remote sensing technology and its application field, in particular to a process-oriented remote sensing estimation method for the total amount of algae in eutrophic lakes. Background technique [0002] Algae content is an important indicator for monitoring eutrophic lakes, which can synthesize lake water quality. Under the influence of intense anthropogenic activities, the eutrophication of lakes is becoming more and more serious, and the phytoplankton is increasing explosively. Phytoplankton will reduce the transparency of the water body, which is not conducive to the growth of aquatic vegetation, and its decomposition will also consume the dissolved oxygen in the water body and deteriorate the water quality. In order to monitor the algal content of eutrophic lakes, the traditional method is to conduct regular field surveys by setting limited sampling points. Remote sensing technology has realized the monitoring of ...

AI Technical Summary

Problems solved by technology

Essentially, this is a result-oriented remote sensing method for algae populations without analyzing the vertical distribution of algae in the water column

In addition, this method uses the water depth at the pixel to calculate the coefficient of the empirical relation, and the coefficients obtained at different times of the day are consistent; however, the algae content on the surface will change within a day, which will make the results of the total algae in the same day inconsistent; therefore , there are certain limitations in existing methods

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