Satellite remote sensing-based blue-green algae information real-time indication method, storage medium and equipment

Abstract

The invention discloses a blue-green algae information real-time indication method based on satellite remote sensing, a storage medium and equipment, and the method comprises the steps: obtaining a current satellite remote sensing image of a to-be-indicated blue-green algae water area, carrying out the cutting preprocessing of the current satellite remote sensing image, and then carrying out the data enhancement processing, and obtaining the current input data; inputting the current input data into the S-UNet deep learning model after the optimal model parameters are determined in advance, and after classification processing, determining an accurate blue-green algae distribution range; determining the blue-green algae outbreak frequency; calculating cyanobacterial bloom intensity; displaying the blue-green algae distribution range, the blue-green algae outbreak frequency and the blue-green algae bloom intensity in real time, and when blue-green algae outbreak is judged, giving an alarm and issuing positioning information of a blue-green algae outbreak area. The real-time indicating system based on the blue-green algae real-time information has the advantages that reliable technical support can be provided for fishing work, the blue-green algae cleaning efficiency is effectively improved, and the real-time indicating system has important economic and social significance.

Description

technical field [0001] The invention relates to a real-time indication method, storage medium and equipment of cyanobacteria information based on satellite remote sensing, and belongs to the technical field of target recognition. Background technique [0002] In recent years, frequent outbreaks of blue-green algae in lake waters have resulted in deterioration of water quality and damage to ecosystems, seriously threatening water security, economic development and ecological environment in surrounding areas. At present, scholars at home and abroad have studied a variety of methods for controlling cyanobacteria blooms, including chemical, biological and physical methods. The chemical method needs to introduce chemical agents into the water to remove algae, but it also causes secondary pollution while inhibiting algae. The biological method is to remove algae by planting aquatic higher plants and establishing biological barriers, etc., which is slow and easy to cause changes i...

AI Technical Summary

Problems solved by technology

This method is not suitable for complex and changeable cyanobacteria, because changes in the external environment can easily lead to the accumulation or spread of cyanobacteria, and it is difficult to obtain the expected cyanobacteria information after artificially reaching the designated position, so it is impossible to salvage accurately and timely cleanup work

Due to the influence of summer monsoon and weather conditions, the outbreak and accumulation of cyanobacteria are difficult to predict, which increases the difficulty of salvage to a certain extent

At the same time, the uncertainty of cyanobacteria outbreaks, as well as the imbalance in time and space, lead to differences in the utilization efficiency of salvage ships between different cyanobacteria salvage points

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