Mobile Bay is a large, shallow estuarine system [average depth ~3m) characterized by high freshwater river inflow, frequent wind driven sediment resuspension, a large industrial port, and high population growth that is resulting in land-use change. These processes contribute to elevated total suspended sediment (TSS) concentrations (> 20 mg L-1) in the bay, which have led to concerns about the impacts of suspended sediments on living resources. Traditional water quality assessment by boat-based surveys often miss temporal and spatial dynamics of TSS because of the episodic nature of resuspension and river inputs and a fair-weather sampling bias. Thus, in this study we constructed  a long-term time-series of TSS (1980s to present) in Mobile Bay using ocean color satellite imagery from MODIS and Landsat with the goal of understanding spatial and temporal patterns in suspended sediments in relation to predominant biophysical forcing. A local TSS satellite algorithm was developed using in-situ matchup data of TSS concentrations from boat-based surveys of Mobile Bay conducted from 1989-1999 and 2020-2025. In addition, we developed satellite-based time-series of chlorophyll-a (proxy for algal biomass and nutrient loading), colored dissolved organic matter (CDOM) (a proxy for terrestrial input of organic matter and salinity), light attenuation (a proxy for water clarity), and sea surface temperature to explain variability in TSS. Other time-series used in our analysis included daily river discharge from the Alabama and Tombigbee rivers and wind speed data from local buoys and reanalysis products. We are using these time-series data as independent variables to predict and explain variability in TSS using stepwise multiple regression results. Preliminary results indicated a variety of TSS sources and mechanisms. Large inflows from the Alabama and Tombigbee rivers drive bay-wide changes in TSS. Wind-driven resuspension is also a dominant source of TSS in this shallow estuary. Further, local rivers and shallow areas produce distinct sediment plumes that may be tracked as they mix across salinity gradients. The fusion of multiple sources of data from field surveys, satellites, and other time-series allows for fine scale temporal and spatial assessment of TSS patterns and underlying mechanisms.