Suspended　particulate　matter　(SPM)　concentration　is　an　essential　biogeochemical　parameter　for　water　quality　evaluation　and　morphodynamic　researches.　As　the　newest　satellite　in　Planet　family,　SuperDove　(SD)　with　eight　spectral　bands　achieves　observation　to　Earth　with　unprecedented　temporal　and　spatial　resolution.　In　this　study,　we　developed　a　SPM　retrieval　model　for　SD　using　in-situ　datasets　in　Yellow　River　Estuary,　and　compared　the　spectral　and　SPM　products　of　SD　with　Sentinel-2　MSI　and　Landsat-8　OLI,　and　finally　investigated　SPM　variations　within　typical　tidal　channels　in　recent　years　using　multiple　SD　images.　The　results　revealed　that　SPM　concentrations　derived　from　SD　achieved　high　accuracy　(R2　=　0.95,　Relative　Percentage　Difference　=　30.69　%)　based　on　our　algorithm.　While　SD,　MSI　and　OLI　agreed　well　in　terms　of　top-of-atmosphere　reflectance,　remote　sensing　reflectance　and　retrieved　SPM　concentrations,　SD　was　able　to　effectively　monitor　SPM　dynamics　in　tidal　channels　due　to　its　higher　spatial　resolution.　Several　human-derived　floods　in　recent　years　caused　damage　to　the　south　embankment　of　Yellow　River,　resulting　in　lateral　transport　of　high-SPM　river　water,　which　dramatically　increased　SPM　concentration　in　the　tidal　channels　and　influenced　the　neighboring　tidal　channel　networks　through　the　newly　developed　fine　trenches.　Moreover,　for　commonly　used　satellite　data,　the　spatial　resolution　of　3-30　m　is　required　to　characterize　the　details　of　SPM　distribution,　and　the　observation　frequency　of　at　least　1/1d　is　necessary　to　capture　monthly　change　pattern　of　SPM,　which　demonstrated　that　SD　imagery　has　great　potential　for　monitoring　SPM　or　other　parameters　in　high-turbidity,　strong-dynamic　and　small-scale　waters.