Method and system for quickly estimating surface albedo

Abstract

The invention provides a method and system for quickly estimating surface albedo, and the method comprises a channel conversion model buildingprocess, including inputting an old channel surface albedo database, a surface albedo inversion result of a new satellite with a consistent space-time range and a corresponding solar zenith angle, converting the surface albedo, forming a new and old channel surface albedo mapping table based on a space-time nearest neighbor principle, constructing a multi-layer artificial neural network, and performing training according to the new and old channel surface albedo mapping table; a new channel surface albedo estimation process, including extracting the longitude and latitude of an observation target, the observation moment and the solar zenith angle during observation when atmospheric remote sensing is carried out based on new channel observation, searching an old channel database forthe surface albedo and the solar zenith angle of an old channel at the nearest distance and the nearest moment , and taking the surface albedo and the solar zenith angle as the input of an artificial neural network, obtaining the surface albedo corresponding to the new channel and according to the hypothesis of the surface reflection model, converting to the surface albedo corresponding to the solar zenith angle at the observation moment.

Description

technical field [0001] The invention relates to the technical field of satellite passive remote sensing, in particular to an estimation scheme of the surface albedo therein. Background technique [0002] Satellite passive remote sensing technology retrieves the characteristics of atmospheric molecules, aerosols, oceans or land surfaces by observing the solar radiation reflected by atmospheric molecules, aerosols, oceans or land surfaces. However, radiation observations from satellite payloads are a combination of scattering from atmospheric molecules, scattering from aerosols, and reflection from ocean or land surfaces. Therefore, accurate estimation of surface reflection is an important prerequisite for extracting atmospheric composition information from satellite observations, such as aerosol inversion, cloud attribute inversion, trace gas inversion, etc. Accurate surface albedo database has become one of the important supports for atmospheric passive remote sensing techn...

AI Technical Summary

Problems solved by technology

[0004] Channel differences limit the application of existing surface albedo databases

Although decades of satellite observations have accumulated a large amount of knowledge on surface albedo, with the development of satellite observation technology, more and more new observation channels have appeared, and the band division of channels has become more and more refined. These new technologies Neither can directly use the existing surface albedo database

Existing atmospheric passive remote sensing methods either use independent databases (they are surface albedo databases established for the channel parameters of each load), or can only convert between observation channels with similar parameters to obtain surface albedo on new channels Rate

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