Water bloom distribution and extraction method based on environmental satellite No.1

Abstract

The invention discloses a water bloom distribution and extraction method based on an environmental satellite No.1. The method comprises the following steps of: (S1) calculating a normalized vegetation index according to a multi-spectrum remote sensing graph of the environmental satellite No.1; (S2) distinguishing a water body and water bloom waterweed according to the normalized vegetation index to acquire binary graphs of the water body and the water bloom waterweed; (S3) acquiring a water bloom water body binary graph by combining an inversion result of high-spectrum data according to the binary graphs of the water body and the water bloom waterweed; and (S4) inputting a water body distribution map, carrying out the band calculation on the water bloom water body binary graph and the water body distribution map, generating trinary graphs of the water bloom, the water body and the land and extracting the water bloom distribution map. The method provided by the invention enriches the research contents extracted by the water bloom distribution of the current multi-spectrum data, has high automatic interpretation degree of the computer, and can be run in different software modes and be suitable for developing service operation monitoring work.

Description

technical field [0001] The invention relates to the technical field of water bloom monitoring and remote sensing, in particular to a method for extracting water bloom distribution based on the Environment-1 satellite. Background technique [0002] A bloom is a natural ecological phenomenon in freshwater caused by algae blooms. It is generally believed that algae bloom refers to a large number of algae floating or suspended on the water surface, and the water area where algae bloom occurs is generally in a state of severe eutrophication. Since the algae bloom is located above the water surface and blocks the water body, remote sensing data in the algae bloom area cannot be used to invert water quality parameters. Therefore, when inverting water quality parameters by remote sensing, it is also necessary to first identify the algae bloom, and then use non-algae blooms and aquatic plants. The remote sensing data of ordinary water bodies participate in the inversion calculation ...

AI Technical Summary

Problems solved by technology

The commonly used human-computer interaction interpretation based on expert knowledge is aimed at the lake cyanobacteria bloom extraction mode based on satellite multispectral data. The human-computer interaction interpretation workload is large and it is difficult to locate the boundary, and the accuracy is limited.

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