Satellite polarization PM2.5 estimation method and system based on machine learning fusion model

The invention relates to the technical field of particle size or particle size distribution of test particles, and provides a satellite polarization PM2.5 estimation method and system based on a machine learning fusion model. Comprising the following steps: acquiring a satellite remote sensing image, meteorological data and PM2.5 concentration data; wherein the satellite remote sensing image comprises three polarization bands; constructing a sample data set based on the satellite remote sensing image, the meteorological data and the PM2.5 concentration data; based on the sample data set, taking the first machine learning sub-model, the second machine learning sub-model and the third machine learning sub-model as base models, respectively training the three base models, and training the linear regression model by using predicted values of the three base models to obtain a PM2.5 concentration estimation fusion model; and the PM2.5 concentration is estimated based on the PM2.5 concentration estimation fusion mod