The optical properties of highly turbid coastal water bodies are complicated, so the application of reflectance products based on different satellites in such kinds of water bodies is desperately needed to be fully evaluated. Taking the water body of the Yellow River Estuary (YRE) as a typical research object, the applicability of the water-leaving reflectance products corrected by different atmospheric correction algorithms for Sentinel-2-MSI (S2-MSI) and Sentinel-3-OLCI (S3-OLCI) image is evaluated based on the reference of Landsat reflectance products corrected by ACOLITE DSF atmospheric correction algorithm suitable for YRE. The results show that S2-MSI and S3-OLCI data corrected by the image correction for atmospheric effects (iCOR) are in good agreement with Landsat reflectance products for highly-extremely turbid water bodies in YRE, followed by FLAASH (Fast line-of-sight atmospheric analysis of spectral hypercubes) and Sen2Cor (Sentinel-2 correction) corrected products, while C2RCC (Case-2 regional coast colour) performs poorly. iCOR, FLAASH and Sen2Cor corrected S2-MSI and S3-OLCI reflectance products show good results in the green and red bands with the mean absolute relative difference E_MARD lower than 24%, except that in the near-infrared band the E_MARD is higher than 34% in highly turbid waters. Among them, the FLAASH and Sen2Cor algorithms have similar results. Compared with that in highly turbid waters, the E_MARD is even lower for iCOR, FLAASH and Sen2Cor algorithms in extremely turbid waters. On the contrary, C2RCC algorithm performs relatively poor in highly turbid waters and even worse in extremely turbid waters, with overall underestimation of water-leaving reflectance. This research is significant for it can provide useful reference for choosing atmospheric correction methods in highly turbid waters and lay the foundation for dynamic monitoring suspended sediment in YRE with high resolution.