Comparative analysis of the accuracy of surface reflectance in East Asian coastal areas according to aerosol models based on 6sv rtm

Accurate surface reflectance retrieval is crucial for satellite-based Earth observation and various environmental applications. The radiative transfer model (RTM) known as the Second Simulation of a Satellite Signal in the Solar Spectrum vector (6SV) is widely utilized for atmospheric correction of optical satellite data, effectively accounting for various aerosol types and concentrations to derive surface reflectance. However, the accuracy of surface reflectance is significantly affected by the types and concentrations of aerosols in the atmosphere. In particular, anthropogenic aerosols generated from industrialization in East Asia, such as fine particulate matter (PM), constitute a significant proportion of continentally derived aerosols. In this complex atmospheric environment, coastal regions experience a mixture of marine-origin and continent-origin aerosols, which complicates the accurate retrieval of surface reflectance.

Although previous studies have applied 6SV to high-resolution satellite data, comparative analyses of various aerosol types and studies reflecting the characteristics of coastal regions in East Asia remain limited. Therefore, this study focuses on the coastal regions of East Asia, comparing surface reflectance retrieved using standard aerosol models (Continental, Maritime, Urban) provided by 6SV with those officially provided by Sentinel-2A. Additionally, comparisons with surface reflectance derived from aerosol data provided by the AErosol RObotic NETwork (AERONET) were conducted to evaluate the accuracy of each method.

This study is expected to contribute to enhancing the applicability and reliability of remote sensing data by incorporating and analyzing the aerosol characteristics of coastal regions in East Asia.

Acknowledgments

This research was supported by Particulate Matter Management Specialized Graduate Program through the Korea Environmental Industry & Technology Institute(KEITI) funded by the Ministry of Environment(MOE).