This study explores the feasibility of using CCTV cameras toestimate Total SuspendedSediment(TSS) concentrations in the Khlong Suan Mak River, located in Kamphaeng Phet Province, Thailand. Climate change has led to prolonged dry spells and intense precipitation in Thailand, causing significant sediment transport and deposition issues in river systems and water infrastructure. Traditional methods for monitoring TSS have inherent limitations, prompting the investigation of RGB image processing as a cost-effective alternative. Time-series RGB images were captured at multiple weir locations along the river, and pixel intensities were analyzed to estimate sediment concentrations. Synoptic and spatial sediment sampling estab lished baseline TSS values and sediment grain size distributions. Additionally, bathymetric profiles of three major reservoirs were developed to assess sediment accumulation patterns. Preliminary results demonstrated correlations between RGB intensity values, particularly in the green channel, and TSS under controlled conditions. However, field applications faced challenges due to fluctuating light intensities and minimal variability in TSS concentrations. These findings suggest that while RGB imaging shows promise for sediment monitoring, improvements in camera positioning and lighting control are essential. Future research could enhance accuracyby integrating advanced imaging technologies with this approach