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An Aerosol Optical Depth Retrieval Method

An optical thickness and aerosol technology, which is applied in the field of remote sensing image processing, can solve the problem of low accuracy of aerosol optical thickness, and achieve the effect of improving the inversion accuracy.

Active Publication Date: 2022-05-17
BEIJING AEROSPACE HONGTU INFORMATION TECH
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Problems solved by technology

[0004] In view of this, this application provides an aerosol optical depth inversion method, which can solve the technical problem of low accuracy in the existing satellite inversion of aerosol optical depth

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  • An Aerosol Optical Depth Retrieval Method
  • An Aerosol Optical Depth Retrieval Method
  • An Aerosol Optical Depth Retrieval Method

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Embodiment Construction

[0074] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0075] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

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Abstract

This application provides an aerosol optical depth inversion method, which relates to the technical field of remote sensing image processing, including: preprocessing the remote sensing images obtained from geostationary satellites, removing cloud pixels, water pixels, and ice and snow pixels to obtain the image AOD inversion area; for each dark pixel in the inversion area, the red light surface reflectance and blue light surface reflectance of the dark pixel are obtained by decoupling the short-wave infrared band, red light band and blue light band; read Take the lookup table of the visible red light band and the blue light band, and obtain the optimal aerosol optical thickness of the dark pixel by solving the minimum value of the first cost function of the dark pixel; for each bright pixel in the inversion area, based on the surface The reflectance library calculates the blue light surface reflectance of bright pixels; reads the blue light band lookup table, and obtains the optimal aerosol optical depth of bright pixels by solving the minimum value of the second cost function of bright pixels. In this way, the inversion accuracy of aerosol optical depth for geostationary satellite remote sensing images can be improved.

Description

technical field [0001] The present application relates to the technical field of remote sensing image processing, in particular to an aerosol optical depth inversion method. Background technique [0002] Aerosols have an important impact on the global atmospheric environment, climate change, and human health. Aerosol Optical Depth (AOD) is one of the most important parameters of aerosols and a key factor in evaluating the degree of air pollution. There are two ways to monitor AOD: ground-based observation and satellite inversion. Ground-based monitoring instruments are expensive, and the operation and maintenance process of the instruments is relatively cumbersome. Therefore, the ground-based observation capabilities are very limited and cannot meet the requirements of long-sequence, high-frequency, and large-scale dynamic monitoring of AOD. The AOD retrieved by satellite can effectively meet the above requirements. [0003] Currently the most widely used polar-orbiting sa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/55G01B11/06
CPCG01N21/55G01B11/06Y02A90/10
Inventor 黄葵王宇翔吴月陈强白琳
Owner BEIJING AEROSPACE HONGTU INFORMATION TECH
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