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A high-precision aerosol retrieval algorithm for FY-3D MERSI-II images
Qingxin Wang1, Siwei Li2, Jie Yang1
1Hubei Key Laboratory of Quantitative Remote Sensing of Land and Atmosphere, School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Environment International
|February 26, 2023
Summary
A new algorithm retrieves aerosol optical depth (AOD) from China's Fengyun-3D (FY-3D) satellite's MERSI-II instrument with high accuracy and efficiency. This method extends AOD retrieval to all land areas, outperforming previous satellite-based products.
Area of Science:
- Earth Observation
- Atmospheric Science
- Remote Sensing
Background:
- The Medium Resolution Spectral Imager-II (MERSI-II) on the Fengyun-3D (FY-3D) satellite offers potential for global aerosol detection.
- Current MERSI-II aerosol retrieval is limited to dark target regions, lacking official products and broad land area coverage.
Purpose of the Study:
- Develop a high-precision algorithm for retrieving aerosol optical depth (AOD) from MERSI-II data over all land surfaces.
- Enhance retrieval efficiency and accuracy for operational application.
Main Methods:
- Constructed a novel cost function leveraging spectral consistency and spatial homogeneity assumptions for AOD retrieval.
- Developed a bidirectional reflectance distribution function (BRDF) database using MODIS products to account for surface variations.
- Created eight distinct aerosol models based on AERONET data for China's diverse regions.
Main Results:
- The new MERSI-II AOD retrieval method demonstrated high accuracy, with R=0.913, RMSE=0.123, and RMB=0.955 compared to ground-based measurements.
- Achieved a retrieval efficiency approximately 50 times faster than existing iterative methods.
- MERSI-II AOD retrievals showed superior accuracy and stability compared to MODIS Dark Target and Deep Blue products, and comparable performance to MODIS MAIAC.
Conclusions:
- The developed algorithm provides accurate and efficient AOD retrieval from FY-3D MERSI-II data for extensive land areas.
- The method shows significant potential for operational AOD monitoring, offering improved performance, especially under heavy aerosol conditions.
