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Ohio State University 1 Cyberinfrastructure for Cyberinfrastructure for Coastal Forecasting and Coastal Forecasting and Change Analysis Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford
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Page 1: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

Ohio State University

1

Cyberinfrastructure for Coastal Cyberinfrastructure for Coastal Forecasting and Change Forecasting and Change

AnalysisAnalysisGagan Agrawal

Hakan FerhatosmanogluXutong Niu

Ron Li Keith Bedford

Page 2: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Project TeamProject Team

• Involves 2 Computer Scientists and 2 Environmental Scientists – G. Agrawal (PI) – Grid Middleware – H. Ferhatosmanoglu – Databases – K. Bedford: Great Lakes Now/Forecasting – R. Li: Coastal Erosion Analysis

• Collaborations: – NOAA – Ohio Department of Natural Resources (ODNR)

Page 3: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Project Premise and ChallengesProject Premise and Challenges

• Limitation of Current Environmental Observation Systems – Tightly coupled systems

» No reuse of algorithms » Very hard to experiment with new algorithms

– Closely tied to existing resources • Our claim

– Emerging trends towards web-services and grid-services can help • Challenges

– Existing Grid Middleware Systems have not considered streaming data or data integration issues

– Enabling algorithms (data mining, query planning, data fusion) need to be implemented as grid/web-services

Page 4: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

Ohio State University

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Coastal Forecasting and Change Coastal Forecasting and Change Detection (Lake Erie)Detection (Lake Erie)

Page 5: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Proposed Infrastructure and Proposed Infrastructure and CollaborationCollaboration

Page 6: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Middleware Developed at Ohio Middleware Developed at Ohio State State

• Automatic Data Virtualization Framework – Enabling processing and integration of data in low-

level formats

• GATES (Grid-based AdapTive Execution on Streams) – Processing of distributed data streams

• FREERIDE-G (FRamework for Rapid Implementation of Datamining Engines in Grid) – Supporting scalable data analysis on remote data

Page 7: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Application Details: Coastal Erosion Application Details: Coastal Erosion Prediction and Analysis Prediction and Analysis

• Focus: Erosion along Lake

• Erie Shore – Serious problem

– Substantial Economic Losses

• Prediction requires data from – Variety of Satellites

– In-situ sensors

– Historical Records

• Challenges – Analyzing distributed data

– Data Integration/Fusion

Long Term Goal : Create Service-oriented implementationo Design a WSDL to describe

available data

o Describe available tools and services

o Support discovery and composition of datasets and services for a given query

Page 8: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

Ohio State University

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Iterative Closest Points (ICP) Algorithm for Bluffline Refinement

Bluffline extraction (Liu et al. 2005)

LiDAR DSM LiDAR Profile Initial Bluffline from LiDAR (bluff top and toe)

Orthophotos Bluffline Extraction

Page 9: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Data Acquisition TimeAverage

Elevation of Shoreline

Standard Deviation of

ShorelineWater Level from Nearest Gauge Stations

IKONOS2004-07-08 16:17

GMT0.285 m 0.615 m

Port Manatee: -0.1870m (predicted)

St. Petersburg: -0.1546m

Port of Tampa: -0.1734m

QuickBird2003-09-12 15:58

GMT- 0.217 m 0.439 m Port Manatee: -0.017 m

Tampa Bay, FL

Legend

IK_Cal

IK_Cal

cock

<VALUE>

-5.125 - -3.375

-3.375- -0.7

-0.7 - -0.6

-0.6 - -0.5

-0.5 - -0.4

-0.4 - -0.3

-0.3 - -0.2

-0.2 - -0.1

-0.1 - 0

0 - 0.065

orthopo_001000.img

Value

High : 2040

Low : 0

orthopo_159082_pan_0000000.img

Value

High : 2040

Low : 0

utmgrid

Value

High : 31.9283

Low : -29.7271

IKONOSShoreline

QuickBirdShoreline

Integration of LiDAR Bathymetry, Water Gauge Data and 3-D Integration of LiDAR Bathymetry, Water Gauge Data and 3-D ShorelinesShorelines

Page 10: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Application Details: Great Lakes Application Details: Great Lakes Now/ForeCasting Now/ForeCasting

• GLOS: Great Lakes Observing System – Co-designer/project

manager: K. Bedford, a co-PI on this project

– Collaboration with NOAA

• Limitations: Hard-wired – Cannot incorporate new

streams or algorithms

• Create a Demand-driven Implementation using GATES

• Event of Interest – A boat accident, oil leakage

• Need to run a new model – Time Constraints

– Find grid resources on the fly

• Need to decide: – Spatial and Temporal

Granularity

– Parameters to Model

Page 11: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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Great Lakes Forecasting SystemGreat Lakes Forecasting System• Regularly Scheduled

Nowcasts /Forecasts of the Great Lakes’ physical conditions

• Joint venture of OSU Civil Engineering Dept. and NOAA/GLERL

• Meteorological data and consultation provided by the National Weather Service, Cleveland Office

Great Lakes Forecasting System

Low water due to negative storm surge on eastern end of Lake Erie - Oct. 25, 2001

Page 12: Ohio State University 1 Cyberinfrastructure for Coastal Forecasting and Change Analysis Gagan Agrawal Hakan Ferhatosmanoglu Xutong Niu Ron Li Keith Bedford.

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