Himawari-8 atmospheric aerosol inversion method based on deep full connection network

Abstract

The invention discloses a Himawari-8 atmospheric aerosol inversion method based on a deep full connection network, and belongs to the technical field of aerosol remote sensing. The method comprises the following steps: firstly, acquiring remote sensing image data of a Himawari-8 stationary satellite in a NetCDF4 format; obtaining a dependent variable data set required by the inversion model; secondly, acquiring aerosol product data of AERONET site 1.5-level cloud removal and quality control at the time corresponding to the Himawari-8 image; obtaining independent variable data required by the inversion model; then, constructing a deep learning model of the deep full-connection network by using the sorted data set; performing model parameter setting for obtaining the relationship between Himawari-8 remote sensing image data and aerosol data of a ground AERONET station, and constructing an aerosol inversion model; and finally, applying the trained depth full-connection inversion model toa Himawari-8 remote sensing image above the monitoring point to obtain an AOD inversion result corresponding to the monitoring position. Other auxiliary data are not required to be introduced in the aerosol inversion process, so that errors in the inversion process are reduced, and the AOD inversion precision is improved.

Description

technical field [0001] The invention relates to the technical field of aerosol remote sensing, in particular to a Himawari-8 atmospheric aerosol inversion method based on a deep fully connected network. Background technique [0002] In recent years, with the rapid development and acceleration of my country's economy and urbanization process, the damage to the environment has become more and more serious. Among them, air pollution can not only directly endanger human health, but also affect the growth of animals and plants, and damage the economy. resources, making air pollution control the primary task of current environmental pollution control. Atmospheric aerosols are an important part of the global atmosphere. They not only directly affect clouds, fog and precipitation in the atmospheric environment, but also indirectly affect various chemical reactions in the atmosphere, changing gas molecules such as ozone and nitric oxide, and then affecting the climate. [0003] The c...

AI Technical Summary

Problems solved by technology

In this inversion process, due to the addition of too many conversion formulas and auxiliary data, it is difficult to control the calculation accuracy, and the practicability of the conventional inversion model is reduced due to its uncertainty, so it cannot be applied to other research areas

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