Digital Imaging and Remote Sensing Laboratory ALGE Modeling and Data Needs Dr. Anthony Vodacek Nina Raqueno Yan Li Center for Imaging Science Rochester.

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Presentation transcript:

Digital Imaging and Remote Sensing Laboratory ALGE Modeling and Data Needs Dr. Anthony Vodacek Nina Raqueno Yan Li Center for Imaging Science Rochester Institute of Technology

Digital Imaging and Remote Sensing Laboratory Remote imagery and ground truth Objective 3D Hydrodynamic Model Spatial data Model output Geo-referenced site specific Bathymetry Hourly weather data Inflow and outflow

Digital Imaging and Remote Sensing Laboratory Bathymetry Grid for Conesus Lake Coarse bathymetry will be used for full lake model But improved resolution will be needed for each study site

Digital Imaging and Remote Sensing Laboratory Bathymetry Mapper Inexpensive method to map nearshore bathymetry GPS FishFinder RIT Datalogger

Digital Imaging and Remote Sensing Laboratory Bathymetry Mapper Test Site Old Orchard Cove meters

Digital Imaging and Remote Sensing Laboratory Nearshore bathymetry contours meters

Digital Imaging and Remote Sensing Laboratory Previous Study of the Niagara Plume 6 hours12 hours18 hours24 hours

Digital Imaging and Remote Sensing Laboratory Future Work Data Needs Modeling Work

Digital Imaging and Remote Sensing Laboratory Data Needs Key sites Sedimentation rates Macrophyte canopy Weather (winds, solar irradiance, etc.) High resolution bathymetry (lake level) Water temperatures (shelf vs. open lake) GIS data format (compatibility) and layers Stream inflows and outflows Radiosonde data (best station)

Digital Imaging and Remote Sensing Laboratory Modeling Work - Modification of the models Macrophyte - affect on flow direction and velocity Sediment transportation - sediment rates

Digital Imaging and Remote Sensing Laboratory Physical Resuspension, Deposition, and Settling of Sediments Mechanisms of sediment dispersion include: Convection and turbulent diffusion Stream loading Gravitational settling Physical resuspension and disposition at the sediment-water interface.

Digital Imaging and Remote Sensing Laboratory Physical Resuspension, Deposition, and Settling of Sediments The sedimentation rates are dependent on: The bottom shear stress due to the combined action of waves and currents Sediment composition and water content

Digital Imaging and Remote Sensing Laboratory References 1.Alfred J. Garrett, John M. Irvine, and Amy D. King, Application of Multispectral Imagery to Assessment of a Hydrodynamic Simulation of an Effluent Stream Entering the Clinch River, Photogrammetric Engineering & Remote Sensing, Vol. 66, No. 3 2.Richard L.Miller, and James F. Cruise, Effects of Suspended Sediments on Coral Growth: Evidence from Remote Sensing and Hydrologic Modeling, Remote Sensing Environment, 53:177 – 187 (1995)

Digital Imaging and Remote Sensing Laboratory References (Continued) 3. T. Fischer-Antze, T. Stoesser, and N.R.B. Olsen, 3D numerical modeling of open-channel flow with submerged vegetation 4. Y. Peter Sheng, W.Lick, The Transport and Resuspension of Sediments in a Shallow Lake, Journal of Geophysical Research, Vol. 84, NO. C4