Publications

Ge, BY; Wang, X; Li, ZQ; Zhou, P; Li, GY; Hou, WZ; Qiu, ZW; Xiao, CC; Liu, SH; Yue, QX; Wang, HF; Xie, YS (2025). A Novel Aerosol Retrieval Method Based on Joint Polarization and Intensity Data of Synchronization Monitoring Atmospheric Corrector (SMAC) Onboard High-Spatial-Resolution GFDM Satellite. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 63, 4103811.

Abstract
Synchronization monitoring atmospheric corrector (SMAC) sensor is equipped with polarization and intensity data, providing the possibility of retrieving more accurate aerosol parameters for main sensor's atmospheric correction. In this study, a novel aerosol retrieval algorithm based on intensity and polarization data was proposed. First, we analyze and construct the ratio relationship of different intensity and polarization channels of SMAC on different surface types and analyze the correlation between these ratios and normalized difference vegetation index (NDVI) and scattering angle (SCA). Then, for the first time, high-precision surface prior knowledge for SMAC aerosol retrieval is constructed, and then, intensity and polarization data were used to retrieve high-precision aerosol products simultaneously. These results are compared and validated with Moderate Resolution Imaging Spectroradiometer (MODIS) and ground-based observations aerosol products, and aerosol optical depth (AOD) product comparison between the SMAC and MODIS showed that they had similar spatial distribution, scattered dots of them with a Pearson correlation coefficient (R) of 0.84 and a root-mean-square error (RMSE) of 0.11. Meanwhile, their differences were also analyzed. The validation between the ground-based sites and the SAMC retrieval results also showed a good performance with R of 0.88 and RMSE of 0.10. These results revealed that the new algorithm is an effective method for retrieving reliable AOD products for the main sensor's atmosphere correction.

DOI:
10.1109/TGRS.2025.3549452

ISSN:
1558-0644