Construction of Aerosol Model and Atmospheric Correction in the Coastal Area of Shandong Peninsula

Author:

Shan Kunyang12,Ma Chaofei1,Lv Jingning3,Zhao Dan3,Song Qingjun1ORCID

Affiliation:

1. National Satellite Ocean Application Service, Beijing 100081, China

2. National Marine Environmental Forecasting Center, Beijing 100081, China

3. School of Environment, Southern University of Science and Technology, Shenzhen 518055, China

Abstract

Applying standard aerosol models for atmospheric correction in nearshore coastal waters introduces significant uncertainties due to their inability to accurately represent aerosol characteristics in these regions. To improve the accuracy of remote sensing reflectance (Rrs) products in the nearshore waters of the Shandong Peninsula, this study develops an aerosol model based on aerosol data collected from the Mu Ping site in the coastal area of the Shandong Peninsula, enabling tailored atmospheric correction for this specific region. Given the pronounced seasonal variations in aerosol optical properties, monthly aerosol models were developed. The monthly aerosol model is derived using the average values of aerosol microphysical properties. Compared to the standard aerosol model, this model is more effective in characterizing the absorption and scattering characteristics of aerosols in the study area. Corresponding lookup tables for the aerosol model were created and integrated into the NIR-SWIR atmospheric correction algorithm. According to the accuracy evaluation indexes of RMSD, MAE, and UPD, it can be found that the atmospheric correction results of the aerosol model established in this paper are better than those of the standard aerosol model, especially in the 547 nm band. It demonstrates that the new aerosol model outperforms the standard model in atmospheric correction performance. With the increasing availability of aerosol observational data, the aerosol model is expected to become more accurate and applicable to other satellite missions.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

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