Abstract: The Yangtze River Estuary and its adjacent marginal seas are one of important areas for studying on particulate organic carbon（POC）storage and fluxes in the global carbon cycle. Accurate characterization of POC dynamics in the aquatic settings across this continuum contributes to better understanding of the sink of terrigenous POC. However, this area is a representative of extremely turbid coastal settings and highly dynamic bio-optical properties, and thus, it remains challenging to accurately retrieve POC from satellite ocean color. This study firstly evaluated five different atmospheric correction approaches for Sentinel-3 OLCI(Ocean and Land Colour Instrument) and three POC retrieval algorithms using field data set collected in different seasons in 2022 and satellite ocean color data from OLCI. Results showed that ACOLITE outperformed with mean absolute percent difference（MAPD） less than 35% across most bands. Satellite ocean color algorithms using band ratio combinations by including R_rs(665)/R_rs(510) and R_rs(620)/R_rs(490) performed best, with MAPD of 30.02% and 31.78% for the field in situ and satellite dataset, respectively. The application of the algorithms to the atmospherically-corrected OLCI images showed good retrievals of POC, as a response to different hydrological conditions. The inversion of surface POC concentrations in the Yangtze River Estuary and its adjacent seas using OLCI data provides some valuable insights for relavent studies on water bodies of high-turbidity through satellite remote sensing.