Aerosol optical thickness inversion method

Abstract

The invention discloses an aerosol optical thickness inversion method, solving problems that the existing method is greatly affected by ground angle effect and has poor stability when being applied toan AHI sensor. The method comprises steps of removing pixels of inland water body, ice / snow and cloud in reflection rate of a satellite band; establishing a bidirectional reflectance distribution function parameter database based on MCD19A3 historical data of a MODIS product; dynamically calculating ground reflection rate according to a RTLS model, and obtaining a ground reflection rate initial value; constructing a spectral conversion model, and converting the ground reflection rate initial value into a ground reflection rate conversion value; for a single scattering albedo, removing data ofsand and dust weather, calculating average value quarterly, and establishing a 6S search table; and searching the 6S search table to obtain surface reflection rate analog value and aerosol optical thickness that are corresponding, and interpolating in the aerosol optical thickness, so as to obtain an aerosol optical thickness inversion result. The method can lower angle effect and region limitation of AOD inversion.

Description

technical field [0001] The invention relates to the field of atmospheric quantitative remote sensing, in particular to an aerosol optical depth inversion method. Background technique [0002] At present, the algorithms used for satellite aerosol optical depth (Aerosol Optical Depth, AOD) inversion mainly include dark target method (Dark Target, DT) and deep blue algorithm (Deep Blue, DB). The dark target method, according to the characteristics of "dark targets" such as dense vegetation and dark soil, which have low reflectance in the red and blue bands, make little contribution to the apparent reflectance of satellite observations, and are relatively sensitive to aerosol information, by determining the "dark target" The disadvantage is that there is a general overestimation phenomenon, and it is limited to the "dark target" area, and cannot realize the AOD inversion of bright surface areas such as cities and semi-arid areas; the dark blue algorithm, based on historical data...

AI Technical Summary

Problems solved by technology

[0003] The invention provides an aerosol optical depth inversion method, which solves the problem that the existing method is greatly affected by the angle and has poor stability when applied to the AHI sensor

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