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Cyberinfrastructure Application in Coastal Erosion

Cyberinfrastructure Application in Coastal Erosion. Xutong Niu Mapping and GIS Lab http://shoreline.eng.ohio-state.edu October 12, 2006. Outline. Review of coastal research in Mapping and GIS Lab Proposed work in the proposal Preliminary research plan in the first year.

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Cyberinfrastructure Application in Coastal Erosion

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  1. Cyberinfrastructure Applicationin Coastal Erosion Xutong Niu Mapping and GIS Lab http://shoreline.eng.ohio-state.edu October 12, 2006

  2. Outline • Review of coastal research in Mapping and GIS Lab • Proposed work in the proposal • Preliminary research plan in the first year

  3. Review of Coastal Research • Coastal Data Integration • Coastal Mapping and Monitoring • Coastal Erosion Modeling

  4. Coastal Data Integration • Coastal Data • Water level • Water gauge • Water surfaces (GLFS) • Satellite altimetry • Bathymetry • Historical shorelines (2D and 3D) • DEMs and orthophotos • USGS • Aearial photographs • Satellite imagery • ……

  5. Water Level • Water Gauge http://co-ops.nos.noaa.gov

  6. Water Level • Water surfaces (GLFS) GLFS Hindcast Mean Water Surface1999-2001

  7. Altimetry, Gauge, and Bathymetry

  8. Shorelines • 2D shoreline (x, y) • USGS DLG (Digital Line Graph) • Historical orthophoto • 3D shoreline (x, y, z) • Derive from stereo images

  9. Shorelines (bluff lines) Picture is from http://local.live.com

  10. DEMs and Orthophotos DEM Generated from IKONOS Stereo Images 3D Shoreline Extracted from IKONOS Stereo Images LiDAR DEM at Painesville

  11. Parcel Maps

  12. Integration of Coastal Data • Problems • Data from Multiple sensors and models: • satellite imagery and altimetry, aerial photos, LiDAR, water gauge, and water surfaces • Formats: • Vector, raster, tabular. • Resolution and accuracy: • centimeter – sub-meter – meters – kilometers • Reference system (horizontal and vertical) • Different Coordinate Systems (State plane, UTM, Latitude and Longitude) • Ellipsoids and Geoids

  13. Integration of Coastal Data • Research work • Datum conversion system • Multi-sensor image integration • Integration of water gauge, water surface, and satellite altimetry • Integration of 3D shoreline, bathymetry, gauge station, and water surface

  14. HTv2.0 3D Helmert Transformation VERTCON NADCON GEOID99 IGLD85 Datum Conversion System Diagram of Datum Conversion in Lake Erie

  15. Geometric Processing of IKONOS Imagery Checkpoint Checkpoint ControlPoints Control Points Use Rational functions (RF): The following two methods are used to improve the RF accuracy: 1-Refine the RF coefficients using ground control points 2-Transfer the derived coordinates from the vendor-provided RF coefficients using ground control points

  16. Forward and Backward QuickBird Forward and Backward IKONOS Backward IKONOS and Backward QuickBird Forward IKONOS and Backward QuickBird Forward QuickBird and Forward IKONOS Forward QuickBird and Backward IKONOS Multi-sensor Image Integration

  17. Integration of Multi-Sensor Images (Methodology) VCP: Virtual control points GCP: Ground control points RPC: Rational polynomial coefficients CKP: Check points

  18. IntegrationofMulti-SensorImages (Results from use of IKONOS, QuickBird, and Aerial Images) Results obtained from integration of all the images

  19. Bluffline Extraction by Integration ofLiDAR and Orthophotos Bluffline extraction (Liu et al. 2005) LiDAR DSM LiDAR Profile Initial Bluffline from LiDAR (bluff top and toe) Iterative Closest Points (ICP) Algorithm for Bluffline Refinement Orthophotos Bluffline Extraction

  20. Bluffline Extraction by Integration ofLiDAR and Orthophotos Results in Test Region 2 Results in Test Region 1

  21. Integration of water gauge, water surface, and satellite altimetry Yearly Comparisons (1999 – 2001) between Altimetry and WSM Comparison between water gauge data and GLFS water surface

  22. IKONOS Shoreline QuickBird Shoreline Tampa Bay, FL Integration of LiDAR Bathymetry, Water Gauge Data and 3-D Shorelines

  23. GPS Satellite Shoreline Erosion Awareness Subsystem Computer PDA Internet Cell phone Coastal Structure Permit Subsystem On-site Mobile Spatial Subsystem Computer Computer Lake Erie Server Coastal Mobile GIS

  24. ODNR Coastal Structure Permit System

  25. On-site Mobile Spatial System

  26. Coastal Erosion Area Maps for Lake County by Ohio Division of Natural Resources

  27. Establishing correspondence This mathematical model can be envisioned as a similarity transformation that transforms the shoreline segment Sm,(k-1)at time (k-1) to the segment Sm,k at time k by the action of the erosion

  28. Mathematical Model Using polynomial Flow chart for model

  29. Error analysis diagram Based on transects digitized from the Coastal Erosion Area map Analysis diagram for shorelines of year 2000

  30. Coastal Erosion Modeling

  31. Instantaneous shoreline at time t1 Instantaneous shoreline at time t3 Instantaneous shoreline at time t2 t1 < t2 < …… < tm External force f(X, Y, Z)t1 Tide-coordinated shoreline Pi F(X, Y, Z) Tide gauges f(X, Y, Z)t3 t1 Protection structure f(X, Y, Z)t2 MLLW t3 t2 Snake-based Tide-coordinated Shoreline Model Minimize Energy Function: • Constraints: • Water Surface, Gauge Stations, and Coastal Structures

  32. Snake-based Shoreline Model(Model Equations) Energy Function: Internal Energy: External Energy: Constraints: Water Surface Model Gauge Stations Coastal Structures Evolution Function: External Forces

  33. Initial line Results line Historical lines Experimental Results of the Shoreline Model • Experiment 1 (WSM constraint) • Simulated Shorelines • straight line segments • Simulated WSM • flat plane • Different Initial Positions • Case 2 • Case 1 • Experiment 2 (WSM constraint) • Simulated Shorelines • straight line segments • Real WSM • Different Initial Positions • Case 2 • Case 1

  34. Experimental Results of the Shoreline Model • Experiment 3 (WSM constraint) • Real Shorelines • historical Lake Erie shoreline • Real WSM • Different Initial Positions Water Land

  35. Proposed Work in Proposal • 3.1 Multi-Model Multi-Sensor Data Integration Service • Universal spatial data transfer and conversion service • Convert spatial data to GML to transfer them between GRID nodes • Multi-model Integration Service (Dr. Bedford) • Multi-sensor 3-D Mapping Service • Application services with distributed data • 3.2 Querying Service • Coastal data repository in Mapping and GIS lab. • Provide data access • Metadata indexing (Hakan) • 4.2 Coastal Erosion Prediction and Analysis • Suggested area: Painesville, OH • Conduct coastal erosion pattern analysis • Create an application service

  36. Preliminary Research Plan • In Proposal: “We will investigate different coastal data formats, integrate them with the virtual and wrapper middleware systemand finish the development of multi- data/model integration services, query services, and scalable data mining services. We will also implement time-series analysis algorithms for forecasting and nowcasting application.” • Working in Mapping and GIS Lab • Coastal data format conversion • Integration with the virtual and wrapper middleware system • Multi-sensor integration service

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