Retrieval method for aerosol optical thickness based on high resolution satellite image data

Abstract

The invention discloses a retrieval method for an aerosol optical thickness based on high resolution satellite image data. The retrieval method specifically comprises the following steps: 1) establishing a lookup table according to a 6S radiation transfer model; 2) carrying out high resolution data preprocessing, comprising radiometric calibration, geometric correction and cloud detection, acquiring original apparent reflectance and observation angle information, and acquiring atmospheric parameters according to the observation angle information and the lookup table; 3) calculating the normalized differential vegetation index of each pixel, and determining a red-blue wave band relation corresponding to each pixel according to the vegetation index and priori knowledge provided by the invention; and 4) inverting the aerosol optical thickness according to the satellite observed apparent reflectance, the atmospheric parameters and the red-blue wave band relation. According to the remote sensing retrieval method for the aerosol optical thickness disclosed by the invention, aerosol monitoring can be carried out on high solution satellites effectively, and a data source can be provided for regional and urban atmospheric environment and pollution.

Description

technical field [0001] The invention relates to the field of remote sensing, in particular to an aerosol optical thickness inversion method based on high-resolution satellite image data. Background technique [0002] Atmospheric aerosol is one of the most important components of uncertainty in the atmosphere, which can be used to estimate the impact of aerosol on regional and global climate change. At present, various aerosol optical depth inversion methods (such as dark target algorithm and deep blue algorithm) are widely used in various satellite images. Monitoring of the optical properties of aerosols has also received increasing attention. A more refined aerosol distribution can be used to monitor the spatial distribution of aerosols in urban areas, and can effectively and quickly find pollution sources. Combined with other meteorological data, it can provide more accurate atmospheric environment monitoring and forecasting. At present, some researchers are working on t...

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Problems solved by technology

[0003] In view of the problem that the current high-resolution aerosol retrieval algorithm mainly focuses on dark targets and multi-satellite data collaborative retrieval, improve the application of high-resolution atmospheric aerosol in environmental monitoring, and improve the spatial coverage and accuracy of retrieval results, etc. , a method for inversion of aerosol optical depth based on high-resolution satellite image data is proposed

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