Author(s): Siyoon Kwon; Seung Hyun Park; Junhee Ahn; Hyoseob Noh; Il Won Seo
Linked Author(s): Hyoseob Noh, Siyoon Kwon, Il Won Seo
Keywords: CCTV; Hyperspectral imaging; Rouse-alpha model; Sediment flux; Suspended sediment concentration
Abstract: Monitoring suspended sediment in rivers is critical for understanding geomorphic change, water quality, and reservoir and delta management. However, traditional sampling and contact-based instruments are often labor-intensive, spatially limited, and difficult to deploy during high-flow or hazardous conditions. To overcome these challenges, we present a hyperspectral CCTV-based monitoring system (CCTV-HISST) designed for continuous, non-contact observation of suspended sediment dynamics. CCTV-HISST acquires hyperspectral imagery under both solar and artificial illumination, enabling 24-hour monitoring with radiometric correction and calibration. The imagery is used to retrieve near-surface suspended sediment concentration (SSC) from visible–NIR spectral signatures. To infer the vertical distribution of sediment, we are developing a workflow that integrates the Rouse-alpha framework to reconstruct vertical SSC profiles from surface measurements, together with Large-Scale Particle Image Velocimetry (LSPIV) for deriving surface flow-velocity fields. By combining the reconstructed SSC profiles with velocity estimates, this approach aims to generate continuous, real-time, non-contact sediment flux (kg s⁻¹). This study highlights the potential of hyperspectral CCTV as a scalable platform for sediment-flux monitoring, particularly in environments where conventional measurements are impractical. Ongoing work includes field validation, uncertainty assessment, and comparison with other measurements and physical sampling.
Year: 2026