A method and system for quickly estimating surface albedo

Abstract

The invention provides a method and system for quickly estimating the surface albedo, including the establishment process of the channel conversion model, inputting the old channel surface albedo database, the surface albedo inversion result of the new satellite with the same space-time range and the corresponding solar zenith angle , convert the surface albedo, and form the new and old channel surface albedo mapping table based on the principle of space-time nearest neighbor; construct a multi-layer artificial neural network, and train according to the new and old channel surface albedo mapping table; the estimation process of the new channel surface albedo, It includes extracting the longitude and latitude of the observation target, the observation time and the solar zenith angle when performing atmospheric remote sensing based on the new channel observation, and searching the old channel database for the surface albedo and solar zenith angle at the closest distance and at the latest time , as the input of the artificial neural network, the surface albedo corresponding to the new channel is obtained; according to the assumption of the surface reflection model, it is converted to the surface albedo corresponding to the solar zenith angle at the time of observation.

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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