Transcript Saagar_proposal_Nov06

Nov 21, 2006
Implementation
technology in
sensing
Mapping and GIS
of
Grid
GIS/Remote
1
Overview of the presentation
Tasks required in the project for the 1st year
Topics on geospatial data processing/analysis research
Motivation
Data analysis tools required based on different data format
Data availability and processing capabilities
Expected achievement
Mapping and GIS
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Project proposal: Grid implementation for
coastal area monitoring
Year I:
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Investigation of different coastal data format
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Integrate the data format with the virtual and wrapper middleware
system
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Multi-data/model integration services, query services, and scalable
data mining services
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Implementation of time-series analysis algorithms for forecasting and
now casting application
Mapping and GIS
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Propose research topics for implementing
Multi-sensor/platform data integration
services
Topic 1: Location independent coastal model for erosion fore casting
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Search for sensor data for the region – Satellite images, aerial images, maps… etc
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Search for relevant data sets - soil property, water level, parcel map etc
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Shoreline: Shoreline change analysis (dynamic data)
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Water level change
DEM - water surface intersection would show the land submergence (flooding) due to rise in water level
 Soil property: Water drainage, permeability conditions, soil cohesion properties
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Weather parameters: Temperature, wind velocity and direction, rain/snow fall (dynamic data)
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A new method for DEM (Digital Elevation Model) generation based on streaming data set
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Find out independent factors that will affect the erosion among the above parameters
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Modeling of different parameter along the coast is necessary to predict regions with risk of erosion
Mapping and GIS
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Propose research topics for implementing
Multi-sensor/platform data integration
services
Topic 2: Immediate response to a disaster situation to provide relief
operation
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Search for sensor data acquired at particular location just before and after the event
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A quick aerial survey in the region can provide with aerial images or LiDAR data
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Data fusion/integration technique to analyze the multi-sensor/platform data
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Change analysis to locate worst affected areas
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Near- real time data processing
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Find out worst affected areas by a tornado/storm along the coast
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Coastal loss assessment
Mapping and GIS
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Propose research topics for implementing
Multi-sensor/platform data integration
services
Topic 3: Sea grass monitoring system
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Coastal loss/gain assessment of sea-grass
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Data integration of satellite images, hyper spectral
images, and LiDAR bathymetry data
Mapping and GIS
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Motivation
There are different soil erosion models available

Based on different aspects as a major issue
 Wind influence
 Water wave influence
 Soil properties
A model to take into account the combined effect?
A versatile near-real time model considering the important parameters is required
Most of the data sets required are available online but are in different format
Implementation of model
A near real-time system will help strategic planning and to provide relief
operation
Mapping and GIS
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Analysis tools required are to be
developed
Different data formats:
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Vector (Point, line, polygon),
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Grid (position information in row-column structure),
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Image, Tin (X, Y, Z point data with links to adjecent nodes),
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ASCII, DWG/DXF (another form of vector data),
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Tabular database
Different combination analysis to extract information
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Image: Image processing, Image fusion/integration  DEM, Orthophotos
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Grid: Grid processing methods, Vector-Grid processing  Change analysis
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Vector: Vector data analysis  Change analysis
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Other data sets will be used in the form of parameters for sensor model, datum conversion
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Tabular data in the form of coastal measurements (gauge, soil property etc)
Mapping and GIS
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Data availability and processing
capabilities
Data acquisition:

Available on website: We need to extract the data and understand the format
automatically!!
Soil property data: Would be available in Shape file (Polygon features)
Water level and other properties: Tabular data
Weather data: Temperature
Data sorting and analysis will be done using data analysis tools
Datum conversion tool – The data available could be in different datum,
hence, a tool to convert these data sets to a standard datum in necessary
Mapping and GIS
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Task accomplishment from
proposals
Processing of various data set under one platform
Processing of large data sets could be possible based
on data analysis techniques
Data standardization (understanding the data online)
DEM generation using multi-sensor model
Shoreline changes and erosion detection/prediction
Mapping and GIS
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