RECENT DEVELOPMENTS IN THE GEOMORPHIC INVESTIGATION OF ENGINEERED TIDAL INLETS
Introduction - Fitzgerald-etal-CEJ-030002
Technological Advances
Topographic lidar
Figure - Fitzgerald-etal-CEJ-030005
Fig. 2. GPR record of Riverside Beach, which forms the border to Kennebec River Inlet on the central Maine coast.
Fig. 3. Cliff erosion documented by LIDAR surveys (after Sallenger et al., 1999).
Fig. 4. LIDAR survey of Merrimack River Inlet ebb tidal delta.
High resolution shallow marine seismic surveys
Fig. 5. Migration of inlet thalwag at New Pass, Florida (from Irish and Lillycrop, 1997).
Multibeam
Fig. 6. Structure contour map of the depth to acoustic basement (in meters) that was produced from a detailed shallow seismic survey of the area.
Fig. 7. Multibeam survey form the Mississippi River.
Figure - Fitzgerald-etal-CEJ-030014
Fig. 9. Side Scan survey record of the jettied entrance of Saco River Inlet.
Acoustic doppler current profiler technology
Fig. 10. Schematic view of bottom mounted ADCP configuration used to measure current velocity in a series of vertical bins through the water column.
Table 2. Coastal, inshore and nearshore ADCP deployment configurations
Fig. 11. Side-mounted ADCP sensor for moving deployment application (photo from the US Geological Survey).
Fig. 12. Example of a taught line ADCP mount for mid-depth deployment.
Fig. 14. Top panel: ADCP record showing the vertical distribution of velocity over 5 bins.
Geographical information system methods
Fig. 16. Comparison of energy distribution acquired by PUV and ADCP type wave gauges
Geographical information system methods cont'd
Image analysis methods
Image analysis methods cont'd
Fig. 19. Shoreline and vegetation line extracted from digital aerial photography using supervised image classification
Fig. 20. Photo mosaic of the central Florida Sebastian Inlet area created by rectifying to a USGS
Fig. 21. Example of high resolution shoreline mapping in GIS.
Fig. 23. Identification of tidal inlet morphology using the supervised image classification method.
Table 3. Typical spectral features of high-resolution commercial satelite imagery
Summary - Fitzgerald-etal-CEJ-030032
References - Fitzgerald-etal-CEJ-030033
References cont'd - Fitzgerald-etal-CEJ-030034
References cont'd - Fitzgerald-etal-CEJ-030035
References cont'd - Fitzgerald-etal-CEJ-030036
Fitzgerald-etal-CEJ-03
Introduction - Fitzgerald-etal-CEJ-030002
Technological Advances
Topographic lidar
Figure - Fitzgerald-etal-CEJ-030005
Fig. 2. GPR record of Riverside Beach, which forms the border to Kennebec River Inlet on the central Maine coast.
Fig. 3. Cliff erosion documented by LIDAR surveys (after Sallenger et al., 1999).
Fig. 4. LIDAR survey of Merrimack River Inlet ebb tidal delta.
High resolution shallow marine seismic surveys
Fig. 5. Migration of inlet thalwag at New Pass, Florida (from Irish and Lillycrop, 1997).
Multibeam
Fig. 6. Structure contour map of the depth to acoustic basement (in meters) that was produced from a detailed shallow seismic survey of the area.
Fig. 7. Multibeam survey form the Mississippi River.
Figure - Fitzgerald-etal-CEJ-030014
Fig. 9. Side Scan survey record of the jettied entrance of Saco River Inlet.
Acoustic doppler current profiler technology
Fig. 10. Schematic view of bottom mounted ADCP configuration used to measure current velocity in a series of vertical bins through the water column.
Table 2. Coastal, inshore and nearshore ADCP deployment configurations
Fig. 11. Side-mounted ADCP sensor for moving deployment application (photo from the US Geological Survey).
Fig. 12. Example of a taught line ADCP mount for mid-depth deployment.
Fig. 14. Top panel: ADCP record showing the vertical distribution of velocity over 5 bins.
Geographical information system methods
Fig. 16. Comparison of energy distribution acquired by PUV and ADCP type wave gauges
Geographical information system methods cont'd
Image analysis methods
Image analysis methods cont'd
Fig. 19. Shoreline and vegetation line extracted from digital aerial photography using supervised image classification
Fig. 20. Photo mosaic of the central Florida Sebastian Inlet area created by rectifying to a USGS
Fig. 21. Example of high resolution shoreline mapping in GIS.
Fig. 23. Identification of tidal inlet morphology using the supervised image classification method.
Table 3. Typical spectral features of high-resolution commercial satelite imagery
Summary - Fitzgerald-etal-CEJ-030032
References - Fitzgerald-etal-CEJ-030033
References cont'd - Fitzgerald-etal-CEJ-030034
References cont'd - Fitzgerald-etal-CEJ-030035
References cont'd - Fitzgerald-etal-CEJ-030036
Fitzgerald-etal-CEJ-03
