Satellite image and machine learning water quality monitoring method and system

A technology of satellite imagery and machine learning, applied in neural learning methods, integrated learning, instruments, etc., can solve the problems of less effective use of data, long satellite load revisit cycle, short satellite load transit cycle, etc.
CN112464746AActive Publication Date: 2021-03-09清华苏州环境创新研究院 +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
清华苏州环境创新研究院
Publication Date
2021-03-09

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Abstract

The invention discloses a satellite image and machine learning water quality monitoring method which comprises the following steps: respectively preprocessing acquired first satellite image data and second satellite image data to generate reflectivity data; establishing radiation normalization models of different sensors according to different seasons and different ground features; establishing aspace-time fusion model based on weight filtering; establishing a water quality parameter inversion database based on the time information of the space-time fusion result and the space information ofthe water quality monitoring data of the ground monitoring station; screening a water quality parameter inversion database, extracting data of the training set and the test set, and establishing an inversion model of the water quality parameters by utilizing multiple machine learning algorithms; and outputting a water quality inversion result according to the generated reflectivity image data setand the established water quality parameter inversion model. A water quality parameter inversion model based on machine learning is established, the model precision is high, and the obtained water quality parameter inversion result can reflect the spatial distribution condition of water quality parameters.
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Description

technical field

[0001] The invention belongs to the technical field of urban surface water environmental water quality monitoring, and in particular relates to a long-term continuous surface water quality monitoring method and system based on satellite images and machine learning. Background technique

[0002] Surface water environment water quality monitoring is one of the main contents of environmental monitoring. It is to accurately, timely and comprehensively reflect the current situation and development trend of water quality, provide scientific basis for water environment management, pollution source control, environmental planning, etc. Pollution control as well as maintaining the health of the water environment plays a vital role. At present, there are mainly the following methods for surface water environmental water quality monitoring:

[0003] Traditional urban surface water environmental water quality monitoring methods are mainly manual and automatic site monit...

Claims

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