Publications

Wang, ZT; Jin, SK; Chen, C; Liu, Z; Zhai, SY; Chen, H; Zhou, CY; Zhang, RJ; Li, HY (2025). Aerosol Retrieval Method Using Multi-Angle Data from GF-5 02 DPC over the Jing-Jin-Ji Region. REMOTE SENSING, 17(8), 1415.

Abstract
The Directional Polarimetric Camera (DPC) aboard the Chinese GaoFen-5 02 satellite is designed to monitor aerosols and particulate matter (PM). In this study, we retrieved the aerosol optical depth (AOD) over the Jing-Jin-Ji (JJJ) region using multi-angle data from the DPC, employing a combination of dark dense vegetation (DDV) and multi-angle retrieval methods. The added value of our method included novel hybrid methodology and good practical performance. The retrieval process involves three main steps: (1) deriving AOD from DPC data collected at the nadir angle using linear parameters of land surface reflectance between the blue and red bands from the MOD09 surface product; (2) after performing atmospheric correction with the retrieved AOD, calculating the variance of the normalized reflectance at all observation angles; and (3) leveraging the calculated variance to obtain the final AOD values. AOD images over the JJJ region were successfully retrieved from DPC data collected between January and June 2022. To validate the retrieval method, we compared our results with aerosol products from the AErosol RObotic NETwork (AERONET) Beijing-RADI site, as well as aerosol data from MODerate-resolution Imaging Spectroradiometer (MODIS) and the generalized retrieval of atmosphere and surface properties (GRASP)/models over the same site. In terms of validation metrics, the correlation coefficient (R2) and root mean square error (RMSE) indicated that our method achieved high accuracy, with an R2 value greater than 0.9 and an RMSE below 0.1, closely aligning with the performance of GRASP.

DOI:
10.3390/rs17081415

ISSN:
2072-4292