o ak r idge n ational l aboratory u. s. d epartment of e nergy budhendra bhaduri overview of...

OAK RIDGE NATIONAL LABORATORYU. S. DEPARTMENT OF ENERGY

Budhendra Bhaduri

Overview of Geospatial Computing at ORNL

Geographic Information Science & Technology

Computational Sciences and Engineering Division


Rich History Spanning 30 years

Defining Geospatial Research Agendas

Developing New Algorithms, Software, and Data

Conducting Verification & Validation Studies

ORNL: A pioneer in Geospatial Science and Technology

Technology Highlights

Geospatial ScienceGeospatial ScienceMulti-resolution data analysis Advanced spatial modelingData integration and visualizationGeographic Information Systems (GIS)Decision Support Systems (DSS)

Scientific Data AccessScientific Data Access Collection, Distribution, and ManagementLarge scale data manipulation


Ongoing Research Highlights

Analysis of surface drinking water systems and source water characterization

I2IA: Feature-based characterization of large image archives

Transportation Routing Analysis GIS (TRAGIS)

LandScan: High resolution population distribution model

Georeferencing Community Water System (CWS) intakes to the National Hydrography Data (NHD)

Delineating upstream contributory watersheds from the intake locations

Characterizing upstream contributory watersheds with pesticide usage data

Source Water Characterization


CWS intakes

CWS Intakes 6945 intake location

6361 indexed to NHD

30% validated so far

Characterization and visualization tools developed


Watershed Characterization

HUC County NLCD Category Crop Type Compound Name Area Total Lbs.HUC 1 Co 1 Category 1 Crop 1 Compound 1

Compound 2Compound 3

Crop 2 Compound 1Compound 2Compound 3

Crop 3 Compound 1Category 2 Crop 1 Compound 1

Compound 2Compound 3

Crop 2 Compound 1Compound 2Compound 3

Crop 3 Compound 1Category 3 Crop 1 Compound 1

Co 2 Category 1 Crop 1 Compound 1Compound 2Compound 3

Land cover/Land use

Pesticide application 1992 1997

Total by compound

Total by crop type

By crop-compound combinations

32,000 data files as initial output


Image-to-Intelligence Archive (I2IA)Assisting Image Analysts in Building and Using Archives

The amount of data available to an image analysts today is enormous

We are developing an agent-based system architecture that autonomously

manages a massive but dynamic image data archive

transforms that to an intelligence or information archive to aid national security needs

Data Search & RetrievalData Search & Retrieval

GeoconformanceGeoconformance

SegmentationSegmentation

Feature MappingFeature Mapping


SpatialSearch &Filteringof Image

Data

SpatialSearch &Filteringof Image

Data

Data Search & Retrieval Agents

Data Search & Retrieval Agents

Data Processing & Integration Agents

Data Processing & Integration Agents

FeatureSearch,

Filtering, & Retrieval

FeatureSearch,

Filtering, & Retrieval

Modeling and Analytical

Applications &Visualization for Decision Support

Systems

Modeling and Analytical

Applications &Visualization for Decision Support

Systems

USGS

NIMA

NOAA

NASA

EPA

Features

Image Data Archive

Image Data Archive

Intelligence Intelligence ArchiveArchive

Image Analysis, Indexing, and

Characterization

Intelligence Intelligence ArchiveArchive

Image Analysis, Indexing, and

Characterization

IndexPower plants

AirportsHospitals

Where are Where are the power the power

plants?plants?

Image Image AnalysisAnalysis

IntelligentIntelligentAgentsAgents

Geospatial Geospatial AnalysisAnalysis

MonitorMonitorDistributedDistributed

DataDataSourcesSources

GeoconformGeoconformImages to Create Images to Create

Dynamic Data Dynamic Data ArchiveArchive

CreateCreateIntelligence or Intelligence or

InformationInformationArchiveArchive


Transportation Routing Analysis GISWeb-TRAGIS

Transportation Routing Analysis GIS (TRAGIS) model is used to examine highway, rail, and waterway routes for route campaigns or future shipments

Transportation routing model used by DOE community for routing and risk assessment studies


TRAGIS Rail Network

1:100K rail network development sponsored by Dahlgren NSWC Joint Program Office

Uniquely value added and topologically refined

Used for infrastructure assurance analysis

Also incorporated into Transportation Routing Analysis GIS model, funded by DOE/NTP


TRAGIS Routing Model

Transportation Routing Analysis GIS (TRAGIS) model is used to examine highway, rail, and waterway routes for route campaigns or future shipments

Output includes population data along routes for risk assessment models


Innovative approach using GIS and RS techniques to produce Innovative approach using GIS and RS techniques to produce world’s finest population distribution model, database, and toolworld’s finest population distribution model, database, and tool

LandScan Global Population

Accepted standard for estimating population at risk by the DoD and DOS

Federal agencies including DoD (DTRA, NGA), DHS (FEMA, TSA), DOE, USGS, NASA, EPA, and HHS (CDC, NIH) are current users of the data for research and development and routine exercises

Over 1200 non-defense registered users worldwide including WHO and the UN agencies

Used in Rand McNally’s World Goode’s Atlas and National Geographic Maps

Finest spatial resolution (<1km) global population distribution ever produced

Global coverage in consistent raster (GIS) format

Regular (yearly) updates

First to employ satellite imagery worldwide

Allows quick and easy assessment, estimation, and visualization of population at risk

Integrated with transportation, socioeconomic, and consequence assessment models (HPAC)


LandScan USA

Very High Spatial ResolutionVery High Spatial Resolution 3 arc second resolution (about

90 m. or 300 ft.) or finer

Finer Temporal ResolutionFiner Temporal Resolution Nighttime (residential) and

daytimedaytime population distributions

High CurrencyHigh Currency Modeled from best available

Census 2000 block data

Value AddedValue Added Demographic and socio

economic characteristics for easy integration with risk and impact assessment models

Compared to Census DataCompared to Census Data Better than census resolution

for most city blocks


Space-Time Visualization


Intelligent Consequence Management

Real time consequence analysis

Compounding effects from disasters

Dynamic traffic assignment

GIS-data integration

Sensitivity of lead time


Near-Real Time Population Model

Combining

Image processing

GIS modeling

High-performance computing

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