Transcript Landsat Evolution - SUNY Brockport Conesus Lake

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
Objective
Spatial data
Model output
3D
Hydrodynamic
Model
Geo-referenced site specific
•Bathymetry
•Hourly weather data
•Inflow and outflow
Remote imagery and
ground truth
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
meters
Old Orchard
Cove
Digital Imaging and Remote Sensing Laboratory
Nearshore bathymetry
contours
meters
Digital Imaging and Remote Sensing Laboratory
Previous Study of the Niagara Plume
6 hours
12 hours
18 hours
24 hours
Digital Imaging and Remote Sensing Laboratory
Future Work
• Data Needs
• Modeling Work
Digital Imaging and Remote Sensing Laboratory
Data Needs
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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
Digital Imaging and Remote Sensing Laboratory