Abstract: Total suspended matter (TSM) is an important water constituent, influencing seawater’s transparency and primary productivity. Therefore, monitoring TSM concentration is of great significance for evaluating marine ranch environments. Satellite remote sensing has significant advantages in terms of spatial and temporal observations. However, the current TSM product of ocean color remote sensing is for large-scale regions, lacking specific products for small-scale regions, like the marine ranch. In this study, we focused on the mussel culture area around Gouqi island in Shengsi, Zhejiang province, and conducted four observation cruises during different seasons. Based on the in situ data, we proposed a remote sensing model for deriving TSM concentration from the Landsat-8 satellite image with a high spatial resolution (30 m). The model validation showed a good performance, with determination coefficient, root-mean-square error, bias, and mean absolute percentage error of 0.72, 6.59 g/m³, 0.72 g/m³ and 29.8%, respectively. Subsequently, the proposed model was applied to generate TSM products in the mussel culture area using Landsat-8 satellite images in different seasons, and the spatial and temporal variations of TSM were further studied.