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THE WORLD’S GUIDE TO COMMERCIAL REMOTE SENSING<br />

Spring 2004 Vol. 19 No. 2<br />

More than imagery … intelligence<br />

Securing airports<br />

Warfighter use of imagery<br />

Geospatial technology<br />

& world threats<br />

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spring 2004<br />

contents » vol.19 » no.2<br />

departments<br />

4<br />

Cover Image<br />

Dublin Airport<br />

6 MarketScan<br />

Industry Info<br />

8<br />

31<br />

Policy Watch<br />

A Challenge from Europe: GMES<br />

Events Calendar<br />

6<br />

12<br />

28<br />

features<br />

12<br />

16<br />

20<br />

22<br />

25<br />

28<br />

Law Enforcement<br />

Transit-based technology solutions<br />

Geospatial Technology and<br />

World Threats<br />

Modeling of disaster scenarios in American cities<br />

Warfighter Use of<br />

Commercial Imagery<br />

Better battlespace situational awareness<br />

Optical Processing<br />

Adding shape-based search technology<br />

More Than Imagery —<br />

Intelligence<br />

The transition of earth imagery to a critical<br />

element in homeland security<br />

Securing Airports<br />

GIS mapping and AVL technology<br />

w w w . i m a g i n g n o t e s . c o m<br />

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cover image<br />

The World’s Guide to Commercial Remote Sensing<br />

Spring 2004 / Vol. 19 / No. 2<br />

PUBLISHER<br />

Myrna James Yoo<br />

Publishing Partnerships LLC<br />

myrna@publishingpartnerships.com<br />

ART DIRECTOR<br />

Jürgen Mantzke<br />

Enf ineitz LLC<br />

jmantzke@earthlink.net,<br />

www.enf ineitz.com<br />

EDITORIAL CONTRIBUTIONS<br />

<strong>Imaging</strong> <strong>Notes</strong> welcomes contributions<br />

for feature articles. We publish articles on<br />

the remote earth imaging industry, including<br />

applications, technolog y, and business.<br />

Please see Contributor’s Guidelines on<br />

www.imagingnotes.com, and email proposals<br />

to editor@publishingpartnerships.com.<br />

SUBSCRIPTIONS<br />

To subscribe, please go to www.imagingnotes.com,<br />

and click on ‘subscribe.’ Subscriptions are free for<br />

those who qualify.<br />

For changes, please submit changes with<br />

old and new information to<br />

imagingnotes@spaceimaging.com.<br />

<strong>Imaging</strong> <strong>Notes</strong> is published quarterly by<br />

Publishing Partnerships LLC,<br />

PO Box 11569, Denver CO 80211<br />

Regarding national security<br />

and defense, airports, ports<br />

and other points of entry<br />

are significant.<br />

This is an IKONOS natural color image<br />

of Dublin Airport in the Irish Republic,<br />

locally known as Aer Rianta, Dublin. This<br />

airport is some 10 kilometers north of<br />

the city of Dublin, which is on the eastern<br />

shore of the island of Ireland.<br />

The image, acquired October 19th,<br />

2002, is superimposed with an airport<br />

mapping database (AMDB) developed<br />

by Space <strong>Imaging</strong> Solutions. These<br />

vector GIS databases implemented<br />

in ESRI Shapefiles provide extensive<br />

details about the runways, taxiways,<br />

aprons, parking positions, hangars<br />

and other surface features of the<br />

airport. This airport is also known as<br />

EIDW, its designation by the International<br />

Civil Aviation Organization. «<br />

<strong>Imaging</strong> <strong>Notes</strong> (ISSN 0896-7091),<br />

Copyright © 2004<br />

by Space <strong>Imaging</strong> LLC,<br />

12076 Grant Street,<br />

Thornton, CO 80241<br />

Although trademark and copyright symbols<br />

are not used in this publication,<br />

they are honored.<br />

© 2004 Space <strong>Imaging</strong> LLC<br />

www.imagingnotes.com<br />

<strong>Imaging</strong> <strong>Notes</strong> is printed on<br />

20% recycled (10% post-consumer<br />

waste) paper. All inks used contain<br />

a percentage of soy base. Our printer meets<br />

or exceeds all federal Resource Conservation<br />

Recovery Act (RCRA) Standards.<br />

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ASPRS — 70 years of service to the profession<br />

NEW!<br />

The Manual of Remote Sensing, 3 rd Edition<br />

Volume 4: Remote Sensing for Natural Resource Management &<br />

Environmental Monitoring<br />

Andrew B. Rencz, PhD, Editor-in-Chief<br />

Volume Editor: Susan Ustin<br />

848+ pp. Hardcover + CD Rom. 2004.<br />

ISBN: 0-471-31793-4<br />

Stock # 4571<br />

Students $120<br />

List Price: $198 ASPRS Members $150<br />

Volume 4 addresses the use of remote sensing technology in<br />

natural resource management and environmental monitoring.<br />

Comprehensive, authoritative, and up-to-date, it covers<br />

terrestrial ecosystems, aquatic ecosystems, and agriculture<br />

ecosystems, as well as future directions in technology and<br />

research.<br />

Chapters<br />

1. Soils and Soil Processes<br />

2. Biophysical Remote Sensing Signatures of Arid and<br />

Semi-arid Ecosystems<br />

3. Arid Regions: Challenges and Opportunities<br />

4. Temporate and Boreal Forests<br />

5. Tropical Forests<br />

6. Tropical Freshwater Wetlands<br />

7. Rivers & Lakes<br />

8. Coastal Margins and Estuaries<br />

9. Grazing Agriculture - Managed Pasture, Grassland<br />

and Rangeland<br />

10. Dryland Crops<br />

12. Application of Image-based Remote Sensing to<br />

Irrigated Agriculture<br />

13. Environmental Processes: State of the Science and<br />

New Directions<br />

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market scan<br />

Industry Info<br />

Research Available<br />

The 10-Year Industry Forecast, sponsored<br />

by NOAA and NASA, is available<br />

from ASPRS for $25 U.S. The Executive<br />

Summary is available free of charge from<br />

the website.<br />

www.asprs.org<br />

U.S. Geospatial Intelligence Foundation<br />

The United States Geospatial Intelligence<br />

Foundation is a consortium of<br />

government, industry, academic and<br />

professional organizations that share a<br />

mission focus around the development<br />

and application of geospatial intelligence<br />

data and geo-processing resources<br />

to address National Security objectives.<br />

Founder and Chairman of the Board is<br />

K. Stuart Shea, vice president and executive<br />

director of the Space & Intelligence<br />

Operating Unit, Northrop Grumman<br />

Information Technology, TASC. Steven<br />

Jacques is vice president of Operations.<br />

He is a legislative and business development<br />

consultant for Space & Intelligence<br />

programs, Jacques & Associates, Inc.<br />

The group is producing the GEOINT 2004<br />

Symposium in October, formerly GEO-<br />

INTEL 2003.<br />

www.usgif.org<br />

Space Organizations Create<br />

National Alliance<br />

Four leading space organizations<br />

— the National Space<br />

Society, Satellite Industry<br />

Association (SIA), The Space<br />

Foundation, and Washington<br />

Space Business Roundtable<br />

— created the National Space<br />

and Satellite Alliance (NSSA).<br />

NSSA members will coordinate<br />

their Washington operations,<br />

programs and activities to<br />

provide more cohesive and unified<br />

advocacy of space policy issues in<br />

Washington and more effectively<br />

serve their members’ interests.<br />

The stated mission of NSSA is<br />

“to marshal the resources of the<br />

space and satellite advocacy<br />

community to most effectively<br />

advance the exploration and development<br />

of space as well as the<br />

utilization of space and satellite<br />

systems and technologies.”<br />

Brian Chase, vice president of<br />

Washington Operations for the<br />

Space Foundation, is the first<br />

elected chairman of NSSA.<br />

www.spacealliance.org<br />

Dubai Police Using Imagery for Security Operations<br />

Dubai Police awarded Space <strong>Imaging</strong> Middle East a contract to deliver<br />

multi-scale satellite imagery of the country, after the imagery was used to<br />

support the police security operations during the IMF meeting held in Dubai<br />

in September 2003.<br />

SIME collected 1-meter, high-resolution imagery of Dubai derived from<br />

the IKONOS satellite while the rest of the UAE was collected with a resolution<br />

of 5-meters from the IRS satellites.<br />

The imagery is also used as an accurate background reference in an<br />

existing vehicle tracking system. The GPS system of each vehicle is linked<br />

to an IKONOS-derived map in the operation control room. Dubai Police also<br />

complemented its existing base maps with IRS 5-meter resolution imagery<br />

for the entire UAE.<br />

www.spaceimagingME.com<br />

Applications<br />

The Kista Arctica vessel breaking through the icy waters of<br />

the Disko Banke region of the Davis Strait. This region is<br />

located off the west coast of Greenland. © Royal Arctic Line.<br />

Greenland’s Icy Water Navigated<br />

With RADARSAT-1 Imagery<br />

The Danish Meteorological Institute<br />

(DMI) signed a 2-year contract with RA-<br />

DARSAT International for the continued<br />

near real-time supply of RADARSAT-1<br />

data (within 2 - 4 hours from acquisition).<br />

The satellite data is used to<br />

create ice charts and reports that are<br />

sent via satellite to the bridges of ships<br />

while navigating the dangerous waters<br />

of the Greenland Sea. RADARSAT-1 data<br />

is delivered within hours of acquisition<br />

to DMI via a network of three RADAR-<br />

SAT-1 ground receiving stations: KSAT<br />

(Norway), QinetiQ (United Kingdom),<br />

and Gatineau (Canada).<br />

This will be the 6th consecutive year<br />

that DMI has been using RADARSAT-1<br />

data. The satellite data has now fully<br />

replaced the use of aircraft for ice<br />

reconnaissance.<br />

www.rsi.ca<br />

Geospatial Intelligence Provided to U.S. Department of Defense’s Grand Challenge<br />

The Defense Advanced Research<br />

Projects Agency (DARPA) — the<br />

research and development arm of the<br />

Department of Defense — held the<br />

first Grand Challenge off-road race<br />

of robotic land vehicles on March 13.<br />

The top team from Carnegie Mellon<br />

University, called “The Red Team,”<br />

used 10,000 square kilometers (3,861<br />

square miles) of IKONOS satellite<br />

imagery to help guide its ‘Sandstorm’<br />

robotic vehicle. The vehicle ran<br />

7.4 miles of the 150 mile course,<br />

further than any other.<br />

Space <strong>Imaging</strong> donated the<br />

imagery, worth $198,000, in<br />

hopes that it will become a core<br />

component in the development of<br />

this leading-edge technology. The<br />

color IKONOS imagery was used in a<br />

layered set of geographic information<br />

systems (GIS) data to develop<br />

potential race routes. Other data<br />

layers include USGS digital orthoquad<br />

(DOQ) aerial imagery, USGS<br />

digital elevation models (DEMs),<br />

DARPA-defined race corridors, differential<br />

GPS coordinate information<br />

obtained from ground reconnaissance,<br />

and LIDAR and sub-meter<br />

aerial imagery in select corridors.<br />

IKONOS satellite imagery was the<br />

only commercial satellite imagery<br />

used in the DARPA Grand Challenge<br />

race, though other companies<br />

supplied imagery for teams that did<br />

not participate. Initially, 106 teams<br />

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NASA Uses A “Sleuth” To Predict<br />

Urban Land Use<br />

According to researchers from the<br />

University of Maryland and Woods<br />

Hole Research Center, developed land<br />

in the greater Washington-Baltimore<br />

metropolitan area is projected to<br />

increase 80 percent by 2030. Scientists<br />

used a computer-based decision<br />

support model loaded with NASA<br />

and commercial satellite images to<br />

simulate three policies affecting land<br />

use and declining water quality in the<br />

Chesapeake Bay estuary.<br />

Observations from Landsat and<br />

IKONOS satellites were used in a<br />

United States Geological Survey<br />

(USGS) computer model, called<br />

SLEUTH. The model was applied to<br />

23,700 square kilometers (9,151<br />

square miles) of the Washington-Baltimore<br />

metropolitan area.<br />

NASA funded the study, with additional<br />

funds from the Chesapeake<br />

Bay Foundation. NASA’s Earth Science<br />

Enterprise is dedicated to understanding<br />

the Earth as an integrated<br />

system and applying Earth System<br />

Science to improve prediction of<br />

climate, weather, and natural hazards<br />

using the unique vantage point of<br />

space. The study is published in the<br />

March issue of Environment and Planning<br />

B. It explains how models may be<br />

used to forecast the effects of urban<br />

growth and runoff on the Chesapeake<br />

Bay estuary system.<br />

www.nasa.gov<br />

www.envplan.com/epb/epb_<br />

current.html<br />

Companies and Contracts<br />

Pictometry and Intermap Form Partnership<br />

Pictometry International Corporation, provider of a patented information<br />

system that captures digital aerial oblique and orthogonal images, as well<br />

as related software, has partnered with Intermap Technologies, which is<br />

building an unprecedented database, called NEXTMap, of highly accurate<br />

digital topographic maps. Pictometry will be able to offer its customer base<br />

of local, county, state and federal government end users the option to<br />

combine Pictometry’s digital images with Intermap’s terrain elevation data<br />

to create more accurate mapping products.<br />

www.pictometry.com<br />

www.intermaptechnologies.com<br />

Coastal California Data Collected by NOAA<br />

The National Oceanic and Atmospheric Administration (NOAA) Coastal<br />

Services Center has completed the development of landcover and change<br />

data for the coastal zone of California. These data provide coastal resource<br />

managers, land planners and other researchers with valuable information<br />

about the state’s coastal landcover and how it changes over time.<br />

Through a contract with Boeing-Autometric/Earth Satellite Corp, landcover<br />

data was produced for the year 2001, as well as retrospectively for 1996.<br />

Landcover data produced as a part of its Coastal Change Analysis Program<br />

(C-CAP) consist of a 22-class system in which land cover types are classified<br />

into different categories, with special emphasis on coastal features<br />

such as wetlands. Development of C-CAP forest classes was supported by<br />

data from the California Department of Forestry and Fire Protection’s Fire<br />

and Resource Assessment Program, which were used to enhance the final<br />

product. The NOAA Coastal Services Center is now working with the United<br />

States Geological Survey to incorporate these data into The National Map, a<br />

comprehensive, up-to-date, digital map of the country.<br />

Currently, NOAA is in the preliminary stages of developing coastal landcover<br />

and change data for the Gulf of Mexico and is completing data sets for<br />

Oregon and Washington.<br />

www.csc.noaa.gov/landcover<br />

Posters Available<br />

Posters of IKONOS imagery are for sale from Space <strong>Imaging</strong>’s online store.<br />

The store has over 100 posters of universities, cities, golf courses, race<br />

tracks and other landmarks available and are typically delivered within 10<br />

days. New categories and posters are being added to the inventory weekly.<br />

Each poster is created from the best IKONOS imagery available and is<br />

printed on photographic quality paper. These gallery quality prints are available<br />

in 3 sizes: 24x30 ($50), 16x20 ($35), and 8x10 ($25).<br />

www.spaceimaging.com/store «<br />

applied, with 86 submitting<br />

technical papers on time. Of<br />

these, 14 entered the race.<br />

In 2005, the DARPA cash award<br />

will increase to $2 million for the<br />

team that fields the first vehicle<br />

to complete the designated<br />

route of the next challenge<br />

within a specified time limit.<br />

www.spaceimaging.com/<br />

grandchallenge<br />

www.darpa.mil/grandchallenge<br />

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policy watch<br />

A Challenge from Europe:<br />

Global<br />

Monitoring for<br />

Environment and<br />

Security (GMES)<br />

Over the past three decades,<br />

Europe has developed a series of<br />

Earth observations satellites. Most<br />

of them have been developed by the<br />

European Space Agency (ESA) in close<br />

cooperation with the space programs<br />

of member countries. Europe now<br />

has a substantial Earth observations<br />

infrastructure, which it has used to<br />

support a variety of European public<br />

good applications, such as agricultural<br />

policy, environmental policy,<br />

and resource management. Major<br />

elements include ESA’s Envisat, ERS<br />

1 & 2, France’s SPOT, and Eumetsat’s<br />

Meteosat satellite systems. Several<br />

new systems are in the planning<br />

stages. However, this impressive array<br />

of satellite systems, which deliver<br />

high quality data, has lacked a robust<br />

data and information infrastructure<br />

to support it, one capable of delivering<br />

useful information products routinely<br />

and reliably to customers.<br />

In an effort to bring greater coherence<br />

to Europe’s use of its satellite<br />

Earth observation systems and its in<br />

situ systems (air, land, and sea) and<br />

to provide the basis for future system<br />

planning, ESA and the European Union<br />

(EU), with the European Commission<br />

(EC) as the EU’s executive agent, have<br />

teamed in a program entitled Global<br />

Monitoring for Environment and<br />

Security (GMES). It is an ambitious<br />

program focused primarily on the<br />

pursuit of sustainable development<br />

and protection of the environment,<br />

and increasingly on security, broadly<br />

defined. When fully operational, it will<br />

serve as the cornerstone of Europe’s<br />

responses to global as well as regional<br />

environmental and security concerns.<br />

GMES is the next major Europe-wide<br />

space project after Galileo. Like Galileo,<br />

it is jointly managed by both the<br />

EU and ESA with participation from<br />

Eumetsat, governmental agencies,<br />

non-governmental organizations, and<br />

private firms.<br />

The early stages of GMES are now<br />

underway. The EU and ESA together<br />

have allocated nearly ¤200 million<br />

over four years to develop a series<br />

of useful applications and the data<br />

and information systems to support<br />

them. Individual states and the<br />

private sector are devoting approximately<br />

another ¤100 million to the EU<br />

effort. The EU is providing research<br />

funding for developing applications<br />

in environmental monitoring and<br />

management, regional development,<br />

environmental risk reduction, crisis<br />

management, and humanitarian aid.<br />

ESA is funding the development of the<br />

information systems to deliver the<br />

information to end users. With other<br />

funding, ESA is also developing new<br />

Earth observation satellite systems.<br />

Officials expect the entire system to<br />

be fully functional by 2008.<br />

GMES constitutes a central element<br />

in Europe’s strategy to use space<br />

technology to foster European innovation<br />

and to give Europe a greater<br />

8 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


global role in the environmental<br />

debate over global warming, pollution,<br />

and other global issues. It will also<br />

support Europe’s growing interest in<br />

using space systems to support European<br />

security, the precise meaning of<br />

which is under development. It is the<br />

second space-related “flagship” program<br />

after Europe’s Galileo position,<br />

navigation, and timing system.<br />

GMES is part of a rapidly changing<br />

political environment for space activities<br />

in Europe, one that includes<br />

a new space policy thrust led by the<br />

European Union. The new policy was<br />

detailed in a November 2003 European<br />

Commission White Paper, “Space:<br />

A New European Frontier for an<br />

Expanding Union: An Action Plan for<br />

Implementing the European Space<br />

Policy.” This white paper has received<br />

the endorsement of both ESA and the<br />

EU Parliament.<br />

The policy urges a sustained,<br />

long-term effort to develop scientific<br />

knowledge and applications through<br />

space technologies, and to maintain<br />

independent access to space. It will<br />

be supported by an industrial policy<br />

aimed at “developing a competitive<br />

and innovative industrial base and a<br />

geographic spread of activities,” for<br />

example to the 10 Eastern European<br />

countries that are entering the EU this<br />

spring. It gives priority to the development<br />

of civil and commercial space<br />

technologies, particularly in launch<br />

services and satellite capabilities. This<br />

changing political environment also<br />

includes a drive to broaden the scope<br />

of ESA’s portfolio of technology development<br />

to include technologies with<br />

explicitly dual-use characteristics,<br />

such as advanced satellite communications,<br />

high resolution remote sensing,<br />

inter-satellite laser communication,<br />

and electronic surveillance.<br />

GMES offers both a challenge and<br />

an opportunity to the United States.<br />

The challenge: The early phases of<br />

GMES are centered on rationalizing the<br />

many different environmental data<br />

sources within Europe and giving them<br />

w w w . i m a g i n g n o t e s . c o m<br />

coherence. This early effort will help<br />

to define needed new capabilities in<br />

both space and in situ systems. Thus,<br />

if implemented successfully, GMES will<br />

lead to the development of autonomous<br />

European capabilities to monitor<br />

the global environment, and of a vastly<br />

strengthened and highly competitive<br />

European geospatial private sector. It<br />

will also serve as an effective scientific<br />

counterbalance to U.S. positions in the<br />

international governance of the global<br />

environment in the decades ahead.<br />

The opportunity: Europe’s long<br />

term goal for GMES is to improve<br />

citizens’ quality of life and security<br />

by supporting environmental risk<br />

management and sustainable development.<br />

Hence, these capabilities<br />

will enable Europe to be a substantial<br />

partner with the United States and<br />

many other countries in establishing<br />

a truly global Earth observation<br />

program as called for at the Earth<br />

Observation Summit hosted by the<br />

White House in July 2003. The experience<br />

with GMES will provide useful<br />

organizational “lessons learned” for<br />

that major effort.<br />

Despite the optimistic picture<br />

that EU and ESA documents on GMES<br />

present, Europe faces many hurdles<br />

in bringing this ambitious program to<br />

fruition. The size and scope of GMES<br />

and the complex structure of space<br />

activities within Europe suggests<br />

that bringing long-term coherence to<br />

GMES will require continual vigilance<br />

and attention to detail in the program.<br />

Europe must rationalize several<br />

different data access, pricing, and<br />

distribution policies, not only within<br />

Europe, but also with potential partners<br />

beyond Europe. Further, the EU<br />

and ESA must find effective ways to<br />

bring the 10 new members joining the<br />

EU this spring into the program. Some<br />

countries, such as Poland and Hungary,<br />

may also wish to join ESA, which<br />

would assist the effort of merging the<br />

interests of the expanded EU and ESA.<br />

Finally, over the long term, Europe<br />

will have to find effective ways to<br />

maintain focus, momentum, and coordination<br />

as new scientific findings<br />

suggest new directions for applications.<br />

Nevertheless, GMES is an exciting<br />

development for the geospatial<br />

community. Not only Europe but also<br />

other countries will benefit from a<br />

successful GMES program. «<br />

Ray A. Williamson is research professor<br />

of space policy and international<br />

affairs in the Space Policy Institute<br />

of The George Washington University,<br />

Washington, D.C.<br />

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Paris<br />

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Law enforcement<br />

Transit-based technology solutions<br />

The San Francisco Bay Area Rapid Transit District<br />

(BART) is a combination aerial/subway transit system that spans four counties<br />

and 22 cities in California. BART transports 50 percent of the Bay Area commuter<br />

traffic across the San Francisco Bay and carries one-third of commuters<br />

into Oakland, connecting over 250,000 riders to their destinations daily. The<br />

District has a number of specialized departments to ensure smooth operations of<br />

the system; one such department is BART Police.<br />

The Police Department’s responsibilities include protection of BART patrons, of its<br />

own more than 2,000 employees, and of property throughout the district. BART Police<br />

is staffed with 280 employees, consisting of 215 sworn and 65 civilian employees. The<br />

department receives, on average, over 50,000 service calls a year, to which officers are<br />

required to respond. The tracking of this information and associated processes was<br />

dependent entirely upon manual processes and one 1960s mainframe computer, until<br />

the department’s recent technological journey. Although far from complete, some of<br />

the projects initiated in the last year include the procurement of a new Computer Aided<br />

Dispatch (CAD) and Records Management System (RMS), the addition of a department-wide<br />

document imaging system, creation of an intranet, and implementation of a<br />

Geographic Information System (GIS). Of these technologies, GIS is the most comprehensive,<br />

as it involves not only the hardware, but also a number of mapping software<br />

packages, data customization and significant changes in workflow processes.<br />

The implementation of the GIS was a five-month process, during which the department<br />

embarked on an extensive needs analysis. A number of divisions within the Police<br />

Department participated in the assessment by assigning their employees as members of<br />

the project team. These members identified a number of department needs, including<br />

staffing, technology and process changes. The project team was also responsible for<br />

researching GIS companies and grants available for public safety. BART Police chose<br />

to purchase their GIS from MapInfo Corporation, which coincidentally was offering a<br />

software grant for public safety. Once awarded the grant, BART Police began project<br />

12 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


Carissa Goldner<br />

CAD/RMS Administrator<br />

BART Police Department<br />

Oakland, Calif.<br />

www.bart.gov<br />

implementation, with the help of local Map-<br />

Info resellers. The GIS was released for use<br />

in the department in November 2003. Since<br />

that time, the department has used the GIS<br />

to address effectively a number of critical<br />

areas of weakness identified during the needs<br />

assessment: (1) minimal functionality of the<br />

department’s mainframe; (2) the inability<br />

to effectively share data internally or crossjurisdictionally;<br />

(3) the inability to perform<br />

effective homeland security analyses; and (4)<br />

shrinking departmental resources.<br />

w w w . i m a g i n g n o t e s . c o m<br />

(1) IMPROVING DATA M ANAGEMENT<br />

BART Police used the data management<br />

strengths of the GIS to counteract the<br />

weaknesses of the mainframe CAD/RMS.<br />

Information such as date, time and location<br />

of calls for service was extracted from the<br />

mainframe and imported into the GIS in<br />

a text format. This information was combined,<br />

in the GIS, with a number of imported<br />

Access databases that gathered information<br />

about victims, arrests, property, suspects,<br />

and suspect methods of operation. Once this<br />

information was concentrated into a single<br />

location, it was organized a number of ways<br />

and analyzed for patterns and consistencies.<br />

Furthermore, the data was then available for<br />

S P R I N G 2 0 0 4<br />

13


The department has used the<br />

GIS to address effectively a<br />

number of critical areas of<br />

weakness identified during<br />

the needs assessment.<br />

presentation in both visual or data form to<br />

a number of departments within BART. For<br />

example, the supervisor of the Information<br />

Technology Division may want a numeric<br />

report showing how many computers exist<br />

at each station, whereas the Chief of Police<br />

may want a visual report of the technology<br />

resources. Using the same data sets, this<br />

information could be distributed to both<br />

in several minutes. Furthermore, this data<br />

management capability has also helped<br />

BART Police address the challenge they face<br />

in sharing information across the department<br />

and with other law enforcement agencies<br />

within the four counties through which<br />

the BART system crosses.<br />

(2) INFOR M ATION SHARING AND<br />

CROSS -JURISDIC TIONAL COOPER ATION<br />

BART Police was enabled to better share<br />

information internally through the GIS<br />

in two ways. Primarily, the grant, which<br />

included a software package that allowed<br />

the publication of maps in a Web-enabled<br />

environment, in combination with the Police<br />

Department’s new intranet, became the main<br />

platform for sharing analyses from the GIS.<br />

Secondly, because technicians were able to<br />

post both visual and data format reports,<br />

a larger number of people were able to understand<br />

the findings from the analyses. Although<br />

BART Police has not yet been given<br />

permission to post these reports on BART’s<br />

public Web site, the team has been able to<br />

distribute reports to surrounding jurisdictions<br />

via mail and meetings, which was never<br />

previously accomplished.<br />

(3) GIS FOR HOMEL AND<br />

SECURIT Y ANALYSIS<br />

To perform homeland security analyses,<br />

BART Police used the GIS to identify geographical<br />

liabilities and assets and to analyze<br />

how the location of those facilities will impact<br />

BART during an emergency. The identified<br />

liabilities include the Transbay Tube (a<br />

section of the system that crosses underneath<br />

the San Francisco Bay), tunnels, subway and<br />

aerial structures, and structures straddled by<br />

freeways. Assets identified through analysis<br />

in the GIS include hospitals, parks, schools<br />

and freeways within a few miles of the<br />

system. Analysis of the assets and liabilities<br />

in relation to BART is complex and is still<br />

under way, as the role of each can change in<br />

a given disaster scenario.<br />

(4) SHRINKING RESOURCES AND<br />

IMPROVED GOVERNMENT EFFICIENC Y<br />

The final weakness identified in the<br />

needs assessment that has been addressed<br />

through use of the GIS is the management<br />

of shrinking resources without the degradation<br />

of performance or service. One<br />

scenario that demonstrates the power of<br />

the GIS for BART Police can be found in an<br />

analysis of annual calls for service, staffing<br />

and technology resources. The number of<br />

calls in these three categories at each station<br />

within the BART system was recorded at<br />

the time the GIS was implemented. Analysis<br />

of the information demonstrated that the<br />

department had resource inconsistencies in<br />

two particular areas. A simple redistribution<br />

of staff and computers could increase<br />

the department’s efficacy without cost.<br />

In addition to the four primary needs<br />

identified by the project team, the GIS also<br />

gave BART Police the ability to perform<br />

functions of crime mapping and routing.<br />

Crime mapping is the primary use of GIS<br />

at law enforcement agencies. Typically,<br />

agencies map the number and location of<br />

incidents within their jurisdiction, often<br />

with focus on specific crimes by type.<br />

The routing tool, not commonly used at<br />

other law enforcement agencies, is a valuable<br />

application of BART Police technology.<br />

Routing is used to dispatch officers to and<br />

from calls for service locations. Since major<br />

freeways in the Bay Area straddle many<br />

BART stations, officers use the freeways to<br />

quickly move from one call location to the<br />

next. In instances where an accident has<br />

occurred on one such freeway, however, officers<br />

experience an increase in response time<br />

14 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


w w w . i m a g i n g n o t e s . c o m<br />

to the call. In order to avoid this problem,<br />

BART Police uses its GIS routing software<br />

in combination with the California Highway<br />

Patrol, which provides real-time access<br />

to traffic conditions, to advise officers of the<br />

quickest route to their call location. This<br />

specialized use of routing coupled with realtime<br />

traffic information is rarely used by<br />

other law enforcement agencies nationwide.<br />

The function of routing also gives rise to<br />

the possibility of more highly technical uses<br />

of the GIS such as the inclusion of mobile<br />

devices for beat officers. BART Police has<br />

foot beats and vehicle patrol beats; officers<br />

on some of these beats have laptops or handheld<br />

computing devices. Inclusion of the GIS<br />

on these devices would empower officers to<br />

retrieve routing information without the assistance<br />

of dispatch. Furthermore, the next<br />

logical step from routing and GIS on mobile<br />

devices is the creation of a Global Positioning<br />

System (GPS). Since officers will already<br />

have access to routing capabilities at their<br />

fingertips, the process of getting routes from<br />

the GIS will become much more efficient<br />

when the system inherently knows where<br />

the officer is. In this instance the officer will<br />

be able to bypass telling the GIS where he is<br />

at the moment and can focus on destination<br />

information.<br />

There are, however, a number of concerns<br />

on behalf of officers nationwide that<br />

GPS is going to be used merely as a form<br />

of absentee supervision. BART Police is<br />

currently researching the ability to provide<br />

officers in the field with a GPS tool while<br />

ensuring that the information will be used<br />

solely for functions related to routing and to<br />

identifying officer locations during emergencies,<br />

or when the location has not been communicated<br />

to dispatch.<br />

Other uses for GIS not typical at law enforcement<br />

agencies, but planned for BART,<br />

are the use of aerial imagery, closed circuit<br />

television cameras, crime forecasting, and<br />

victim profiling. Aerial imagery can be used<br />

in the GIS to perform tactical analyses where<br />

the positioning of resources can be planned<br />

for specialized operations. For example,<br />

BART Police performs a number of undercover<br />

operations to stop identified crime<br />

trends at specific stations. The GIS can display<br />

the precise locations of the incidents of<br />

the trends, and locations where staff, surveillance<br />

equipment, and vacant police vehicles<br />

can be positioned to minimize the incidents<br />

or apprehend the offenders. Furthermore,<br />

BART Police is tasked with performing<br />

crowd control functions for a number of<br />

sporting events and concerts. The GIS can<br />

be used to show the most effective placement<br />

of barriers and staff to help protect<br />

patrons and employees alike and to ensure<br />

that people are able to board trains before<br />

stations become overcrowded.<br />

BART Police has a number of existing<br />

Closed Circuit Television cameras (CCTV)<br />

spread throughout the system. These are<br />

used to discourage criminal acts on the<br />

system, to act as witnesses to crimes and<br />

to aid officers in identifying suspects. GIS<br />

can be used to help plan an appropriate<br />

environmental design for the most efficient<br />

use of the cameras.<br />

Other advanced analyses that can be performed<br />

through the GIS at law enforcement<br />

agencies include crime forecasting and victim<br />

profiling. Forecasting is a function of crime<br />

analysis in which the analyst uses a number<br />

of mathematical equations relating to date,<br />

time and location to identify the most likely<br />

time and place a repeat offender will commit<br />

the next crime. Profiling, on the other hand,<br />

deals primarily with broad category details,<br />

such as race and method of operation.<br />

A number of additional uses for GIS<br />

in law enforcement may not yet have been<br />

identified. Others may not yet be documented.<br />

Because BART Police realized the<br />

potential for GIS at their agency a year ago,<br />

an in-depth research of both academic and<br />

practical sources of information on the topic<br />

was completed prior to implementation.<br />

The project team found that GIS is currently<br />

limited primarily to crime mapping<br />

and analysis functions. Although this fact<br />

may not accurately reflect the potential for<br />

uses of GIS in public safety, it may reflect<br />

a lack of documentation about this powerful<br />

technological tool. As the use of GIS at<br />

BART expands, findings will be shared in<br />

verbal and written form. Even though we<br />

only have begun to reap the benefits of<br />

implementing such a powerful tool, expectations<br />

for additional uses of GIS remain<br />

high at BART. «<br />

S P R I N G 2 0 0 4<br />

15


Figure 1<br />

In this<br />

scenario,<br />

a nuclear<br />

“suitcase<br />

bomb”<br />

explodes in<br />

downtown<br />

Houston,<br />

demolishing<br />

a nine-block<br />

radius,<br />

shown<br />

in red.<br />

Seventeen<br />

mileper-hour<br />

winds<br />

blow the<br />

radioactive<br />

cloud east<br />

(the plume<br />

spreading<br />

toward the<br />

bottom of<br />

this page),<br />

with<br />

lethality<br />

diminishing<br />

as the<br />

plume<br />

travels.<br />

16 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


Modeling of disaster<br />

scenarios in several<br />

American cities<br />

Whether during a terrorist attack<br />

or a natural disaster, the ability of the public<br />

and private sectors to react effectively depends<br />

substantially on how well they have planned<br />

their response strategies. To plan such responses<br />

requires an understanding of a variety<br />

of attack scenarios. Spatial technologies are<br />

instrumental for threat assessment.<br />

During the past few years, state and federal<br />

legislators, their staffs, the media, first responders,<br />

and numerous other organizations have<br />

learned a great deal about terrorist threats. This<br />

education has been bolstered by such tools as<br />

satellite imagery and geographic information<br />

systems (GIS), which can be used to forecast and<br />

model potential hazardous events and the emergency<br />

response to those disasters.<br />

For instance, using desktop or Web-based<br />

GIS, analysts can model the dispersion of a<br />

nuclear, radiological, biological, or chemical<br />

plume. Specialists can overlay these models onto<br />

a city map to examine how attacks would affect<br />

given areas and populations. Further layers such<br />

as satellite imagery can provide additional understanding,<br />

including topography and other information<br />

for remote locations. Threat-assessment<br />

advisers then can run various scenarios to plan<br />

optimal evacuation routes and determine where<br />

to place decontamination facilities and chemical/<br />

biological detectors.<br />

Among some of the well-tested programs<br />

for visualizing these scenarios both at home<br />

and abroad are Consequence Assessment Tool<br />

Sets — Joint Assessment of Catastrophic Event<br />

(CATS-JACE or C-J) and Hazard Prediction<br />

and Assessment Capability (HPAC). Used primarily<br />

for domestic threat assessment because<br />

of its in-depth U.S. city-level data, C-J is a<br />

set of models that simulates both natural and<br />

w w w . i m a g i n g n o t e s . c o m<br />

Dexter Ingram<br />

Professional Staff Member<br />

House Select Committee on Homeland Security<br />

Washington, DC<br />

http://homelandsecurity.house.gov<br />

Joe Ingram<br />

Senior GIS Consultant<br />

Ingram Engineering Inc.<br />

Brookeville, Md.<br />

www.IngramEngInc.com<br />

S P R I N G 2 0 0 4<br />

17


manmade catastrophes, from earthquakes<br />

to chemical weapons attacks to hazardous<br />

material spills.<br />

With a few extensions, C-J enables users<br />

to generate predictive models and conduct<br />

casualty and damage assessment. HPAC,<br />

similar to C-J but with more international<br />

data and a larger variety of unconventional<br />

threat scenarios, is more often used to<br />

model threats abroad. The two GIS computer<br />

models have proven invaluable for<br />

policy briefings, public education and event<br />

preparation during the past few years.<br />

In a graphic front-page<br />

story, he described the<br />

results of a nuclear<br />

bomb small enough to<br />

be hidden in a briefcase.<br />

MODELING WITH WEATHER AND FACILITIES<br />

Developed by Science Applications International<br />

Corporation (SAIC) just after<br />

the first Gulf War, the Defense Threat<br />

Reduction Agency (DTRA) and the Federal<br />

Emergency Management Agency (FEMA)<br />

distributed C-J to support emergency<br />

managers’ training exercises, contingency<br />

planning, and logistical planning, as well as<br />

to calculate requirements for humanitarian<br />

aid and force protection. The GIS interface<br />

allows users to combine and manipulate<br />

multiple layers of information on a variety<br />

of visual information backgrounds and<br />

maps to assess affected persons, property<br />

and infrastructure. C-J can be used regardless<br />

of the user’s level of expertise or access<br />

to information. The technologies allow<br />

the modeling of scenarios based on current<br />

weapons technology and past results<br />

from biological, chemical and radiological<br />

experiments.<br />

The models are based on data pulled<br />

from the DTRA database and combined<br />

with more than 150 other databases, including<br />

census, nuclear plants, military bases,<br />

ports and chemical processing plants. In<br />

addition, the new JACE program allows for<br />

an actual satellite image to overlay a traditional<br />

GIS street map theme. Commercial<br />

space remote sensing companies now can<br />

provide in-depth satellite imagery of buildings,<br />

which opens a new world of analysis.<br />

Currently, such firms can develop scenarios<br />

that assess structural damage to buildings<br />

and casualty estimates for those within.<br />

The analysis becomes even more accurate<br />

when it links directly to the National<br />

Weather Service (NWS) and pulls regional<br />

weather for the time the simulated event<br />

takes place. This can involve either forecasted<br />

weather or, if the event is too far away<br />

for an accurate forecast, historical averages<br />

of weather over the past 20 years. The program<br />

then produces a map that shows the<br />

areas and populations affected and the level<br />

of lethality of the attack.<br />

HOMEL AND SECURIT Y SCENARIOS<br />

At the request of U.S. House and Senate<br />

staff — as well as media outlets such as<br />

The Houston Chronicle, Washington Times,<br />

York Daily Record, and The Times (London)<br />

— C-J was used to model a variety of<br />

scenarios involving several American cities.<br />

Specifically, simulations done included<br />

dirty bombs detonating in downtown areas;<br />

a crop duster spreading anthrax, sarin,<br />

botulinum toxin, or nerve gas over large<br />

populations; a nuclear reactor leak; a missile<br />

intercept; and a nuclear explosion. In<br />

Houston, the media used the latter model to<br />

challenge local government officials regarding<br />

their disaster-preparedness plans.<br />

Following the first anniversary of Sept.<br />

11, Mike Hedges of The Houston Chronicle<br />

interviewed local authorities and first responders<br />

to see if his city was prepared for<br />

the terrorist attacks modeled. He also asked<br />

local, state and federal officials to describe<br />

how they would respond to these scenarios.<br />

In a graphic front-page story, he described a<br />

nuclear bomb small enough to be hidden in a<br />

briefcase. It would level downtown Houston,<br />

flattening many of the 58 skyscrapers and<br />

killing up to 130,000 workers.<br />

This simulation included data from ESRI<br />

StreetMap, the National Weather Service<br />

(NWS) and the National Imagery Mapping<br />

Agency (NIMA), now called the National<br />

Geospatial Intelligence Agency (NGA). Street-<br />

Map contained the necessary detailed road<br />

information and map layers of downtown<br />

Houston. The C-J software ties to NWS’s<br />

database to get the latest forecast information<br />

to determine the plume dispersion. Additional<br />

map layers (buildings, parks, water bodies,<br />

and so forth) came from NGA sources. All<br />

the data were plotted in a geodetic coordinate<br />

system (degrees latitude and longitude).<br />

The simulation demonstrated the bomb<br />

exploding outside City Hall, destroying it,<br />

the Houston Police Department’s headquarters,<br />

and the Harris County administrative<br />

offices. It would have killed most local leaders<br />

and law enforcement officials, crippling<br />

the city’s ability to respond to the disaster.<br />

Based on the simulated weather data, the<br />

wind dragged the radioactive cloud through<br />

the East End and beyond the I-610 Loop,<br />

killing 10 percent of those in its stream and<br />

leaving thousands more ill (Figure 1).<br />

Houston authorities had considered<br />

disaster scenarios in planning emergency<br />

responses, but the simulation and Hedges’<br />

article fostered debate about how prepared<br />

the city was for an attack. The discussion<br />

pointed out deficiencies for the city to address.<br />

Following Houston’s lead, many other<br />

localities performed simulations to test their<br />

preparedness.<br />

AT TACK S FROM OVER THE BORDER<br />

Soon after Sept. 11, the Heritage Foundation<br />

Homeland Security Task Force used<br />

C-J to help assess port and border security<br />

threats. The analysis showed the U.S. is still<br />

vulnerable even if the attack doesn’t start on<br />

U.S. soil. The group ran four nuclear and biological<br />

scenarios, looking at the border cities<br />

of Detroit, Michigan; San Diego, California;<br />

Buffalo, New York; and El Paso, Texas.<br />

One of many mock border scenarios<br />

modeled a nuclear explosion in Mexico<br />

across the border from El Paso. After<br />

purchasing an old Soviet suitcase nuclear<br />

weapon in Central Asia, a terrorist smuggles<br />

it into Mexico to detonate it near the U.S.<br />

border. Traveling by car, the suicide bomber<br />

makes his way toward El Paso. South of the<br />

border, he pulls into a vehicle inspection<br />

station and detonates a 3-kiloton nuclear<br />

bomb, equivalent to 3,000 tons of dynamite.<br />

In this scenario, much of El Paso is devastated,<br />

even though the bomb exploded on<br />

the other side of the border. Prevailing winds<br />

blow radiation to San Antonio. Authorities<br />

do not know if this is a single attack or a<br />

18 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


precursor to other attacks. Fortunately it’s<br />

just a simulation. But it does help to better<br />

prepare the local and federal authorities and<br />

first responders who would be involved in<br />

such a catastrophic attack.<br />

MILITARY COMM AND AND CONTROL<br />

As useful as the previously discussed models<br />

are, GIS software that enables battle management<br />

modeling is even more advanced.<br />

In addition to C-J and HPAC, the U.S. Air<br />

Force, for instance, uses its own command<br />

and control mapping software for its Theatre<br />

Battle Management Core Systems Unit Level<br />

(TBMCS-UL). This GIS software, deployed<br />

at Air Combat Command, Europe Command<br />

and Pacific Air Force Command bases<br />

around the world, monitors conventional attacks<br />

as well as nuclear, biological, or chemical<br />

attacks on a particular installation. Base<br />

commanders and decision makers then can<br />

determine how best to use their war-fighting<br />

assets and more importantly, how to protect<br />

military and civilian personnel via bunkers<br />

and protective clothing.<br />

Exercise scenarios similar to those<br />

done with C-J and HPAC are done with<br />

great regularity in Operational Readiness<br />

Exercises using the TBMCS-UL mapping<br />

tool. Likewise, the GIS data supplied for<br />

TBMCS-UL may come from a variety of<br />

sources to include both government (NGA,<br />

FAA, Air Force Civil Engineers) as well as<br />

commercial vendors. Additionally, this collected<br />

data will be placed in a GIS repository<br />

and used for other Air Force visualization<br />

needs, such as Base Realignment and Closure<br />

2005 (BRAC 2205) initiative.<br />

The idea is that facility managers and<br />

sweep teams can use the map application as<br />

a reporting tool before, during and after an<br />

attack or incident occurs on an installation.<br />

Automated chemical and biological detectors<br />

also feed into the application. The tools can<br />

run from minimum data sources such as facility<br />

and runway map layers that have been<br />

vectorized/digitized from satellite imagery<br />

for remote locations, to a fully surveyed<br />

Garrison base, which can include additional<br />

layers from streets to golf courses. These exercises<br />

help commanders streamline recovery<br />

efforts and give them realistic expectations of<br />

a base’s recovery time after an attack.<br />

Whether preparing for or responding to<br />

domestic and global threats, the use of geospatial<br />

technology on homeland defense and<br />

emergency planning has been monumental<br />

since the events of Sept. 11. Regardless of<br />

whether GIS tools are supporting active<br />

military operations or incidents closer to<br />

home, having access to current data and the<br />

ability to analyze the data saves lives and<br />

property. Awareness of these tools/data,<br />

in addition to following data standards,<br />

can aid in increased interoperability while<br />

decreasing duplication of efforts. «<br />

MM <strong>Imaging</strong> notes Ad 2/19/04 10:42 AM Page<br />

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<br />

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w w w . i m a g i n g n o t e s . c o m<br />

S P R I N G 2 0 0 4<br />

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Bolstering<br />

the use of<br />

ISR with<br />

battlespace<br />

situational<br />

awareness<br />

figure 1<br />

Warfighter use of<br />

commercial imagery<br />

Providing commercial remote sensing<br />

data directly to our nation’s warfighters could<br />

prove beneficial. This premise is consistent<br />

with the commercial space guidelines of the<br />

National Space Policy: “to the extent feasible,<br />

pursue innovative methods for procurement<br />

of space products and services.” In an April<br />

25, 2003, National Security Order, President<br />

George W. Bush reiterated plans to use commercially<br />

available satellite images to the<br />

greatest extent possible to meet U.S. military,<br />

intelligence, foreign policy, homeland security,<br />

and first-responder needs. With sub-meter<br />

image resolution, the commercial remote<br />

sensing industry has become an important<br />

information source to the warfighter.<br />

Over the last few years, Air Force Chief of<br />

Staff Gen. John P. Jumper has been emphasizing<br />

the need for “horizontal integration of<br />

our manned, unmanned, and space assets in<br />

order to provide real-time actionable, exploitable<br />

intelligence to commanders.”<br />

He also contends that our military’s<br />

success depends upon reducing the find, fix,<br />

track, target, engage, and assess (F2T2EA)<br />

cycle and upon achieving persistent Intelligence,<br />

Surveillance and Reconnaissance<br />

(ISR) capabilities. These needs are driven<br />

by the military’s transformation or shift<br />

from the threat-based approach of the Cold<br />

War era to a capabilities-based approach<br />

focusing on information superiority, precision<br />

engagement, and rapid global mobility.<br />

The new approach trades armor (or inches<br />

of steel) for better information and intelligence,<br />

characterized by battlespace situational<br />

awareness unveiling the battlefield<br />

environment to combatant commanders<br />

and decision makers.<br />

The United States has a variety of ISR<br />

assets providing warfighters the information<br />

they need to conduct their missions,<br />

which range from turning back aggression<br />

and helping to secure peace to providing assistance<br />

to Humanitarian Relief Operations.<br />

Battlespace situational awareness requires<br />

persistent surveillance and real-time direct<br />

tasking of ISR assets. The ISR systems in<br />

Figure 1 are the “organic” assets that are<br />

tasked directly from the theater controlled<br />

by the Combatant Commander. Commercial<br />

remote sensing satellites operational<br />

today have the potential to augment the<br />

military’s suite of ISR assets supporting battlespace<br />

awareness, especially if they can be<br />

tasked like an organic asset.<br />

An example of a commercial remote<br />

sensing system that can be tasked directly<br />

is Space <strong>Imaging</strong>’s IKONOS. Raytheon<br />

(Waltham, Mass.), as a co-owner of Space<br />

<strong>Imaging</strong> (Thornton, Colo.), performs the<br />

development and support for the end-to-end<br />

ground architecture that receives, tasks, processes<br />

and disseminates imagery. The system<br />

receives orders from customers, generates<br />

collection tasking, uplinks commands to the<br />

satellites, receives and archives collected<br />

imagery and telemetry data, and generates<br />

products for distribution.<br />

Raytheon has delivered over 12 regional<br />

operational centers (ROC) or<br />

ground stations to customers throughout<br />

the world, including Space <strong>Imaging</strong> affiliates:<br />

Space <strong>Imaging</strong> Middle East (Dubai),<br />

Japan Space <strong>Imaging</strong> (Tokyo), Space<br />

<strong>Imaging</strong> Asia (Seoul), Space <strong>Imaging</strong><br />

Eurasia (Ankara), and European Space<br />

<strong>Imaging</strong> (Munich), as well as Space <strong>Imaging</strong><br />

Southeast Asia (Bangkok). The customers<br />

of these remote systems have the<br />

ability to uplink collection requirements<br />

“on the pass” and receive data back while<br />

20 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


figure 2<br />

Derr Bergenthal<br />

Sr. Principal Engineer<br />

Raytheon<br />

Aurora, Colo.<br />

www.raytheon.com/businesses/<br />

riis/index.html<br />

The military is shifting from the<br />

threat-based approach of the<br />

Cold War era to a capabilities-based<br />

approach focusing on information<br />

superiority, precision engagement,<br />

and rapid global mobility.<br />

figure 3<br />

the satellite is over the station. The ROC<br />

architecture provides the capability both<br />

to directly task the payload from remote<br />

ground terminals and to downlink imagery,<br />

facilitating direct tasking of the satellite<br />

by battlefield commanders.<br />

The ISR assets in Figure 1 are independent<br />

systems that require centralized control<br />

to effectively exploit their capabilities. This<br />

control is provided, in conjunction with the<br />

Joint Task Force, by the Distributed Common<br />

Ground System (DCGS), which Raytheon<br />

is developing for the Air Force. For<br />

commercial imagery systems to be included<br />

in the military’s suite of ISR assets they must<br />

be effectively integrated into an ISR management<br />

system to reach their full potential. As<br />

part of DCGS, Raytheon’s ISR Warrior supports<br />

the management ISR sensor platforms<br />

such as the U-2 high altitude reconnaissance<br />

aircraft and the Global Hawk and Predator<br />

unmanned aircraft vehicles (UAVs). Raytheon’s<br />

ISR Warrior architecture can extend to<br />

new sensors such as those provided by commercial<br />

remote sensing systems.<br />

Figure 2 shows a pictorial representation<br />

of a theater battlespace managed by<br />

ISR Warrior, which centralizes control and<br />

visualization of assets, thus improving intelligence<br />

information. It provides real-time<br />

mission monitoring, which reduces timecritical<br />

targeting and F2T2EA timelines.<br />

The ISR Warrior also provides the operator<br />

with the tools to affect and expedite deci-<br />

w w w . i m a g i n g n o t e s . c o m<br />

sions once ISR decisions have been made.<br />

ISR Warrior is a Web-based decision<br />

system that provides the warfighter a consolidated<br />

picture of the theater battlespace.<br />

It accomplishes this through the visualization<br />

of ISR assets overlaid with order of battle,<br />

collections plans and planned targets along<br />

with tip-off information from Signals Intelligence<br />

(SIGINT), Measurement and Signature<br />

Intelligence (MASINT), and Moving<br />

Target Indicator (MTI) sources. ISR Warrior<br />

provides the ability to re-task ISR assets in<br />

support of time-critical/time-sensitive targeting.<br />

The 3-D capabilities shown in Figure 3<br />

give the operator the ability to view weather<br />

information, terrain delimitation data, and<br />

threat domes. The operator can monitor each<br />

platform’s collection and navigation plan,<br />

track the asset’s position and the sensor’s<br />

field of regard or field of view.<br />

The commercial imagery challenge to<br />

support warfighters will be integrating its<br />

capability and other ISR sensors to enhance<br />

tactical surveillance and time-critical targeting.<br />

To be of significant military value, the<br />

contribution will be measured against the<br />

tactical F2T2EA and the ability to support<br />

accurate and real-time battlefield situational<br />

awareness. Can commercial imagery systems<br />

work effectively with other ISR platforms?<br />

Horizontal integration is the key to<br />

improving persistent surveillance. For commercial<br />

imagery direct to the warfighter, the<br />

path to horizontal integration is through the<br />

DCGS and the cross-platform coordination<br />

of its ISR Warrior component.<br />

A military exercise, such as those conducted<br />

by U.S. Joint Forces Command,<br />

using a directly tasked commercial remote<br />

sensing system and ISR Warrior would<br />

be an ideal way to evaluate the benefits of<br />

providing commercial imagery directly to<br />

the warfighter. Through wargames, we can<br />

determine circumstances where commercial<br />

imagery is particularly valuable or where<br />

it can compensate for the unavailability of<br />

other ISR assets. We can show the power of<br />

fusing commercial imagery with data from<br />

other assets in near real-time. We can also<br />

show to an ISR Warrior operator the utility<br />

of using commercial imagery to dynamically<br />

re-task other assets and vice-versa. Re-tasking<br />

is instrumental to reducing the F2T2EA<br />

cycle by changing ISR collection activities on<br />

the fly in response to the dynamic battlefield<br />

environment. «<br />

S P R I N G 2 0 0 4<br />

21


Adding shape-based search technology<br />

New technology with implications for<br />

Automatic Target Recognition (ATR) in satellite imagery is being investigated<br />

in the Research department at Space <strong>Imaging</strong> (Thornton,<br />

Colo.). Look Dynamics (Longmont, Colo.) has developed a technology<br />

that allows the encoding of image clips as shape information through<br />

optical processing.<br />

The resultant shape information from a number of images may be<br />

stored in a database for subsequent search. To search a shape database,<br />

a model image clip is passed through the encoding system to obtain its<br />

shape information, which is then used to find matches. The technology<br />

requires no knowledge of specific image objects (such as definitions for<br />

airplane or truck) prior to the creation of the databases. Thus, an image<br />

needs to be passed through the optical engine only once to enable<br />

searching of its contents and does not require reprocessing when new<br />

search models are defined.<br />

The availability of satellite data has increased tremendously in<br />

recent years. The advent of commercial satellites carrying high-resolution<br />

sensors has also increased the amount of data available for study<br />

and processing. Far more pixels exist than can be inspected by human<br />

eyes. Automated processing methods for analyzing these pixels are<br />

becoming more and more crucial as the manpower required to review<br />

those pixels further and further surpasses that which is available.<br />

The technology developed by Look Dynamics could be part of a potential<br />

solution to this now-intractable problem. Encoding an image by its<br />

content, as shapes, could require significantly less storage than pixel data.<br />

Because the processing is optical, the generation of databases of such shapes<br />

is far faster than could be achieved by a comparable system based on conventional<br />

digital processing technology. Another key factor is that the nature<br />

of the search objects does not need to be known when the image encoding<br />

is done and the databases are generated. Entire archives of imagery could be<br />

encoded as shape representations for later object search and retrieval.<br />

The technology was originally created for imagebased<br />

searches of the internet. The new exploration of<br />

this technology applies it to satellite imagery. It may be<br />

applicable not only to wide-area search, but to feature<br />

extraction and change detection as well.<br />

The majority of approaches to image storage and<br />

retrieval rely on some combination of color, texture and<br />

shape information extracted from the imagery. One texture-based<br />

approach (Puzicha et al. 1997) uses Gabor<br />

filtering to achieve image segmentation and subsequent<br />

image retrieval. Manjunath and Ma (1996) use Gabor<br />

filters to characterize texture as well, in conjunction with<br />

a user interface that allows the analyst to delineate a portion<br />

of an image (containing some uniform texture) to<br />

use as a query. There are also approaches which use color<br />

or shape information only. Stricker and Orengo (1995)<br />

attempt to improve the utility of color histogram measures<br />

for image indexing and retrieval by characterizing<br />

objects with the dominant features of the color distribution<br />

instead of the entire color histogram. Folkers and<br />

Samet (2002) use Fourier descriptors to approximate basic<br />

geometric shapes that, in some spatial arrangement,<br />

can characterize objects in a logo database.<br />

The Look Dynamics system is unique in that it is<br />

an analog-based approach to a problem which has<br />

traditionally been approached from a purely software<br />

22 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


SECTION N+2<br />

FULL IMAGE<br />

SECTION N+1<br />

Figure 1: Generation and storage of shape information<br />

(Charles deGaulle International Airport, Paris)<br />

SECTION N<br />

Donna Haverkamp<br />

Sr. Research Scientist<br />

Laurie Gibson<br />

Director of Research and<br />

Product Development<br />

1Klps<br />

Space <strong>Imaging</strong><br />

Thornton, Colo.<br />

www.spaceimaging.com<br />

OPTICAL ENGINE<br />

GENERIC SHAPES<br />

SHAPE DATABASE<br />

w w w . i m a g i n g n o t e s . c o m<br />

S P R I N G 2 0 0 4<br />

23


standpoint. The optical portion of the system can process 260<br />

square kilometers in one second, a far greater speed than any software<br />

implementation.<br />

To enable the searching of image databases by shape, Look<br />

Dynamics has developed technology combining analog and<br />

digital processing. This proprietary imagery has the potential to<br />

rapidly extract, store and search for patterns from all types of<br />

imagery. Look Dynamics’ new application has two components:<br />

an optical engine that extracts patterns from images and a database<br />

in which the pattern information is stored.<br />

Various approaches to indexing images by shape have been<br />

proposed, but none have been sufficiently robust or fast to use in<br />

real-world applications. While a system may be able to handle a<br />

few thousand images, it will not scale to larger databases due to<br />

the processing required. This limitation is inherent to the complexity<br />

of extracting shapes and patterns from<br />

The optical portion<br />

of the system<br />

can process<br />

260 square<br />

kilometers<br />

in one second,<br />

a far greater speed<br />

than any software<br />

implementation.<br />

imagery. Algorithms implemented on digital<br />

processors are simply not fast enough. The<br />

Look Dynamics system uses an optical<br />

engine to carry out the shape extraction and<br />

encoding at optical speeds. This system does not<br />

perform optical correlation, and it does not use the<br />

optical engine for searching. Instead, the optical engine<br />

provides an encoding process that extracts<br />

a characterization of the shape information<br />

within an image. These characterizations,<br />

or “fingerprints,” are then stored in a database<br />

that can be searched in software.<br />

With the Look Dynamics system, an image<br />

is brought in only one time. Preprocessing<br />

is performed on the image using a pair of Intel<br />

computers, and it is loaded into a custom electronic<br />

board that drives the input spatial light modulator (SLM) and<br />

controls system timing. The image is displayed on the SLM, and<br />

the shapes are extracted optically as a whole (not pixel-by-pixel)<br />

and detected on a photo-diode array. Another Intel computer takes<br />

the output of the photo-diode array and converts it to the shape<br />

fingerprint, which is stored in the database.<br />

To “load” a satellite image into a Shape Feature Database, a full<br />

image is divided into subsections (image clips) that can be fed to the<br />

optical engine. These 512 x 512 pixel subsections are down-sampled<br />

to the SLM’s 8-bit resolution, then contrast-stretched and edge-enhanced<br />

before formation on the SLM. Laser light reflected off the<br />

SLM projects the image as collimated beams of light, which pass<br />

through a lens and onto Look Dynamics’ proprietary silicon chip,<br />

the Antilles. The Antilles chip breaks the image into Fourier components<br />

and reprojects them to an image sensor. Line segments “seen”<br />

at the sensor are stored as shapes in the database. See also Figure 1.<br />

For each image clip, the shape characterization, or fingerprint, is<br />

extracted and stored in the database together with information about<br />

the source image and section number. In the future, the database<br />

should be able to contain shape-based characterizations of millions<br />

of images, prebuilt and waiting to be searched. When a client formulates<br />

a query, he can use an image or a (scanned) map or drawing.<br />

The query can ask for images and locations within them that match,<br />

contain, or are similar to the example. The system encodes the query<br />

example by shape using the optical processor and then searches the<br />

database for similar shapes. The query returns what it finds with a<br />

score or confidence measure.<br />

Encoding of the imagery as shapes that can be searched upon<br />

and matched implies a number of applications for this technology.<br />

Wide-area search, feature extraction (roads, buildings or any of a<br />

number of natural or man-made objects), and change detection are<br />

all current problems that this technology may help solve.<br />

Efficient shape database search implies that this technology could<br />

be used as a focus of attention for any of the aforementioned applications.<br />

Quickly narrowing in to areas likely to contain objects or<br />

changes which need to be identified or found would be an extremely<br />

effective prefilter. The kind of pixel-intensive<br />

processing necessary for accurate object<br />

identification or change detection is not<br />

feasible over large amounts of image data.<br />

The Look Dynamics technology could point<br />

the more compute-intensive algorithms to areas<br />

likely to contain content of interest. Using the optical<br />

processing technology in tandem with a suite of<br />

software-based solutions tailored to individual applications<br />

could create a powerful hardwaresoftware<br />

hybrid technology for a number of<br />

image-processing applications.<br />

Space <strong>Imaging</strong> and Look Dynamics<br />

have worked together to adapt this technology<br />

for satellite imagery. A performance<br />

baseline has been established using a number<br />

of IKONOS image clips. After an initial round<br />

of investigation, areas for improvement were identified. Modifications<br />

of the system to incorporate these improvements and plans to<br />

re-evaluate system performance are in progress. The full potential<br />

of this technology and the opportunity to utilize it in conjunction<br />

with IKONOS data for image processing applications will be realized<br />

in the future. «<br />

R EFER ENC E S<br />

Folkers, A., and H. Samet, “Content-Based Image Retrieval Using Fourier<br />

Descriptors on a Logo Database,” 16th International Conference on Pattern<br />

Recognition, vol. 3, August 2002, pp. 30,521-30,524.<br />

Manjunath, B. S., and W. Y. Ma, “Texture Features for Browsing and Retrieval<br />

of Image Data,” IEEE Transactions on Pattern Analysis and Machine<br />

Intelligence, 18(8), August 1996, pp. 837-842.<br />

Puzicha, J., T. Hofmann, and J. M. Buhmann, “Non-Parametric Similarity<br />

Measures for Unsupervised Texture Segmentation and Image Retrieval,”<br />

Proceedings of the IEEE International Conference on Computer Vision and<br />

Pattern Recognition, San Juan, June 1997, pp. 267-272.<br />

Stricker, M., and M. Orengo, “Similarity of Color Images,” SPIE Conference<br />

on Storage and Retrieval for Image and Video Databases III, vol. 2420,<br />

February 1995, pp. 381-392.<br />

24 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


The transition<br />

of digital earth<br />

imagery, once<br />

considered<br />

simply data,<br />

to a critical<br />

element in<br />

homeland security<br />

Saddam Airport, Bagdhad<br />

More than<br />

imagery —<br />

intelligence<br />

w w w . i m a g i n g n o t e s . c o m<br />

Donn Walklet<br />

CEO<br />

Terra-Vista, Inc.<br />

Lafayette, Calif.<br />

www.terra-vista.com<br />

The proverbial “eye in the sky”<br />

has come a long way in 60 years, from the<br />

earliest operational use of aerial photography<br />

during World War II to the current use of satellites<br />

by the military, civil authorities, and<br />

industry—for a wide range of applications.<br />

Along the way, the world has become a<br />

much more dangerous place, as tragically revealed<br />

in the 9/11 acts of terrorism and their<br />

aftermath. The United States no longer faces<br />

a predictable and definable threat from an<br />

adversary like the Soviet Union. Its enemies<br />

have disappeared into the shadows of “asymmetrical”<br />

warfare, reverting to seemingly unpredictable<br />

strikes at the country’s infrastructure<br />

and unprotected population centers.<br />

Fortunately, over the last decade, new<br />

technology has given us tools to combat terrorism<br />

by gathering intelligence in near realtime.<br />

The U.S. military has changed its mode<br />

of procurement from a procedure known as<br />

MILSPEC (military specifications) contracting—driven<br />

by a meticulous, time-consuming<br />

and costly process of custom crafting<br />

hardware and software—to a method<br />

known as COTS (commercial-off-theshelf),<br />

thereby exploiting the efficiencies of<br />

hardware developed for the private sector.<br />

This capability is being used today in<br />

Iraq in the form of a command and control<br />

system known as the Theatre Battle Management<br />

Core System or TB-MCS. TB-<br />

S P R I N G 2 0 0 4<br />

25


MCS is a Web-based system for planning,<br />

managing and executing the air war. Fifty<br />

computer programs keep track of the latest<br />

information on targets, weapons, fuelloads,<br />

weather and navigation. Combined<br />

with manned surveillance aircraft like<br />

JSTARS (Joint Surveillance Target Attack<br />

Radar System) and unmanned UAV/RPV’s<br />

like the Air Force’s Global Hawk, in addition<br />

to precision munitions like the GPSguided<br />

J-DAM, the military has completed<br />

the transition towards “network-centric”<br />

warfare, a faster way of sharing tactical<br />

information and deploying offensive and<br />

defensive forces.<br />

The end result of this successful transition<br />

by the military is the availability of<br />

functional and affordable tools to process<br />

the high volumes of geographic raw data<br />

produced by airborne or satellite-based<br />

sensors. Equally important is the parallel<br />

development of broadband communication<br />

technology to move data anywhere<br />

in the world in real-time, paired with<br />

database capabilities permitting the<br />

cataloging and organization of complex<br />

geographic information. The customization<br />

of these technologies to serve a specific<br />

task, like homeland security, is the<br />

final step in creating a capability which<br />

Unlike other catastrophic events, these seemingly<br />

uncontrollable disasters are completely preventable.<br />

will provide an edge in defending the U.S.<br />

from outside threats.<br />

Domestically, the potential applications<br />

of this technology are numerous and<br />

diverse. Practically every component of the<br />

economy, from transportation to energy<br />

production, is vulnerable. Thus surveillance<br />

of some kind is being applied as a<br />

defensive layer in the security process. For<br />

example, the Coast Guard is tasked with<br />

protecting the inland waterways and ports<br />

that are the lifeblood of international<br />

commerce. The overhead perspective is the<br />

ideal vantage point to monitor ship and<br />

barge traffic in real time, using existing<br />

aerial and satellite imagery as a reference.<br />

In the near future, ships and barges will<br />

be required to have GPS equipment onboard<br />

capable of instantly communicating<br />

via satellite their location and status. Combined<br />

with other sources of information,<br />

such as proximity of pipelines and nuclear<br />

power plants, along with the graphic display<br />

of Coast Guard resources, such as<br />

patrol boats, the Coast Guard will have the<br />

equivalent of the military TB-MCS command<br />

and control system. Ultimately, or-<br />

1<br />

ganizations like the Coast Guard, FBI, and<br />

local law enforcement will have access to<br />

real-time sources of imagery from airborne<br />

platforms, with all data processed from its<br />

rawest form and geographically oriented<br />

into a useable form of intelligence that will<br />

give decision makers exactly the information<br />

they need when they need it.<br />

Figure 1 shows a computer display of a<br />

possible Coast Guard surveillance scenario<br />

along the Mississippi River in which barge<br />

traffic containing dangerous cargo is being<br />

tracked in real time.<br />

In this context, digital earth imagery<br />

from satellite and aircraft platforms is transitioning<br />

from an isolated source of information<br />

to one that is an integral part of a decision-making<br />

system in which the imagery<br />

is an important, but not the only source of<br />

intelligence. Imagery will frequently be the<br />

reference layer, often replacing or supplementing<br />

the digital street map as a way<br />

of determining the location of important<br />

resources. Imagery becomes much more of a<br />

critical layer in itself when it is created in real<br />

time, processed and integrated with other<br />

types of data, as a surveillance source of<br />

intelligence—again, similar to the military’s<br />

JSTARS and Global Hawk systems. It is<br />

this visual intelligence showing the status<br />

of a dynamically evolving situation that<br />

demonstrates the use of imagery rising to its<br />

greatest potential.<br />

However, at this point, strategists<br />

among the homeland defense constituencies<br />

need to think outside the box. As the<br />

recent terrorist acts on the commuter rail<br />

system in Spain have demonstrated, asymmetrical<br />

attacks may come where and<br />

when you least expect them.<br />

For example, imagery and associated<br />

command and control systems may be configured<br />

to deal with one of modern society’s<br />

most devastating disasters, wildland fires.<br />

These disasters traditionally have been<br />

ignited by natural forces such as lightning,<br />

but now are frequently attributed to malicious<br />

arsonists or, not an unlikely threat,<br />

to potential terrorists. Wildland fires are<br />

among the most dynamic and destructive<br />

26 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


of natural or manmade calamities. To date,<br />

the process of dealing with wildfires has<br />

been more reactive than proactive. In other<br />

words, fires ignite, are often influenced by atmospheric<br />

conditions and winds, and spread<br />

rapidly as time progresses, until countermeasures<br />

are applied.<br />

Wildland fires parallel other types of<br />

natural disasters such as hurricanes, tornadoes,<br />

floods, and earthquakes, with one<br />

important exception—unlike other catastrophic<br />

events, these seemingly uncontrollable<br />

disasters are completely preventable.<br />

Many of these conflagrations, like the<br />

2003 Southern California fires, could have<br />

been contained if they had been identified<br />

early and isolated using rapid response<br />

tanker aircraft and helicopters—a scenario<br />

that closely parallels the military aerial<br />

command control capability embodied in<br />

TB-MCS. Any fire fighter will readily acknowledge<br />

that time to respond to fires is<br />

the key variable in their suppression.<br />

Figure 2 shows an example of such a system<br />

in which fire bosses get the “big picture”<br />

and rapidly respond to new threats in the field<br />

with instantaneous access to intelligence.<br />

Airborne sensors can detect early ignition<br />

of a fire. In a tactical mode, the raw imagery<br />

generated by these sensors is converted into<br />

a digital photomap in near real time. That<br />

information can then be combined with a<br />

variety of other data, such as road networks,<br />

location of known hazards, aerial tanker<br />

attack plans, and real-time meteorology<br />

overlays, to generate a complete intelligence<br />

database. Fire bosses can direct operations in<br />

the field in a manner that allows field crews<br />

to receive only the information they require<br />

when they need it.<br />

There are many variations on this theme,<br />

in which imagery generated, analyzed<br />

and delivered in near real time can have a<br />

dramatic impact in limiting or containing<br />

the threat of terrorism. The availability<br />

of technology at an affordable price is no<br />

longer an issue. Institutional inertia may be<br />

the greatest inhibitor to the adoption of this<br />

technology, and this roadblock will disappear<br />

as government and the private sector<br />

successfully demonstrate the benefits that<br />

imagery, integrated into a command and<br />

control system, can generate. «<br />

2<br />

Communications<br />

satellite<br />

Central data analysis/<br />

command and control<br />

center<br />

Tanker aircraft<br />

with heads-up display<br />

depicting target data<br />

GPS-enabled data reference subsystem<br />

IP link<br />

to ground<br />

tranceiver<br />

Portable ground transceiver<br />

On-site command, control<br />

and targeting<br />

Aircract/UAV<br />

thermal IR sensor<br />

fire zone<br />

IP link<br />

to PDA<br />

GPS-enabled PDA<br />

w w w . i m a g i n g n o t e s . c o m<br />

S P R I N G 2 0 0 4<br />

27


An overwhelming increase<br />

in the volume of commercial air traffic in<br />

the last half of the twentieth century has<br />

increased the demand on aircraft ground<br />

taxiing (known as surface movements) at<br />

the world’s airports. This change resulted<br />

in a corresponding increase in the potential<br />

for runway incursions, both by unauthorized<br />

aircraft and by ground vehicles outside of<br />

their operating locations. The problem created<br />

by the increase in volume culminated<br />

in the most serious ground accident in the<br />

history of aviation at Tenerife, in the Canary<br />

Islands of Spain on March 27, 1977, when<br />

two 747 airliners collided in the fog with<br />

catastrophic loss of life.<br />

Many international organizations such<br />

as NASA, the Flight Safety Foundation,<br />

and universities such as Stanford University<br />

and Ohio University have made significant<br />

strides toward the implementation<br />

of enabling technology to reduce runway<br />

incursions and to enhance the efficiency of<br />

airport surface operations.<br />

Early solutions included the implementation<br />

of Surface Movement Guidance and<br />

Control Systems (SMGCS) at a number of<br />

airports. An SMGCS has a number of lights<br />

and sensors that control taxiing operations.<br />

Subsequent follow-on work with multilateration<br />

radar technologies is in progress to enhance<br />

tools for air traffic control authorities<br />

(known as Air Traffic Management or ATM)<br />

to control airport surface movements.<br />

However, display technology was also<br />

needed to provide flight and, potentially,<br />

ground vehicle crews with enhanced situational<br />

awareness, which required a moving<br />

map of the airport. The primary goal is to<br />

give pilots “synthetic” views of their positions<br />

on the airport, as if they could actually<br />

see outside in clear daylight weather conditions.<br />

With the publication of a global GIS<br />

standard known as DO-272, airports could<br />

be consistently mapped in order to provide<br />

that needed situational awareness.<br />

Figure 1 is an example of such an airport<br />

mapping database (AMDB), constructed<br />

by Space <strong>Imaging</strong>’s Solutions organization.<br />

One of the significant enabling technologies necessary to adopt the widespread use of<br />

airport mapping is the ability to define and exchange position information. The recent<br />

implementation of the GPS Wide-Area-Augmentation-System (WAAS) constellation<br />

by the Federal Aviation Administration (FAA) greatly enabled geopositioning. Instead<br />

of a location solution that was no better than 25-50 meters, the WAAS improved the<br />

quality of raw GPS to 1-2 meters laterally, and 2-3 meters vertically.<br />

These AMDBs would have multiple uses, including surface movement awareness<br />

information for air traffic controllers, flight crews and ground vehicles. Other uses<br />

include graphical depictions of future changes to support future trips and Homeland<br />

Security surveillance and response needs. New GIS, satellite imagery and GPS technology<br />

have allowed airports to more effectively manage these needs.<br />

Following the tragic events of 9/11, a stronger emphasis was placed upon the security<br />

of air traffic, not just the safety of air traffic. Once steps were taken to better secure air<br />

traffic in-flight (with reinforced cockpit doors, air marshals and improved screening), the<br />

security of surface movements became more of a focus for improvement.<br />

The airport “environment” is comprised of fixed and movable assets. The AMDB<br />

will take care of mapping the fixed or permanent installations on the airport, both airside<br />

(where the aircraft can actually taxi) and groundside (all areas of the airport not used for<br />

aircraft taxiing). However, AMDB cannot track movable assets, which are principally<br />

ground vehicles.<br />

28 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


GIS mapping and automatic vehicle location (AVL) technology<br />

FIGURE 1<br />

Example of a GIS map<br />

of San Francisco<br />

International Airport<br />

FIGURE 2<br />

Example of<br />

AVL with<br />

authorized<br />

areas for<br />

baggage<br />

carts and<br />

fuel trucks<br />

in yellow<br />

By Dejan Damjanovic<br />

Domain Manager,<br />

Air & Marine<br />

Transportation<br />

Space <strong>Imaging</strong><br />

Thornton, Colo.<br />

www.spaceimaging.com<br />

w w w . i m a g i n g n o t e s . c o m<br />

Tracking ground vehicles for flight operations coordination is<br />

the primary concern. Other requirements include tracking ground<br />

vehicles for: (a) asset management purposes; (b) operational efficiency;<br />

(c) security surveillance; (d) flight operations emergency<br />

response; (e) terrorist or security emergency operations.<br />

At any given airport, it is likely that 10 to 20 times the number<br />

of ground vehicles exist as do aircraft. Since any truck can<br />

potentially carry explosive or hazardous cargo, airport authorities<br />

need to find better ways of monitoring their locations.<br />

AVL (automatic vehicle location) example: Baggage carts and<br />

fuel trucks ought to stay on the “thatched aprons,” or yellow<br />

taxiways. They should never be on the red runways (Figure 2).<br />

Fortunately, the trucking industry worldwide has been using<br />

a technology known as automatic vehicle location or AVL<br />

for much of the past several decades. The<br />

principal components of an AVL system<br />

include:<br />

(a) GPS receiver and a wireless data<br />

link in each remote vehicle;<br />

(b) Master station, capable of receiving<br />

all data link transmissions from the<br />

remote vehicles;<br />

(c) Capture software and data<br />

logging, capable of replaying<br />

portions or complete routes being<br />

driven by the remote vehicles;<br />

(d) Mapping and/or monitoring software<br />

to track the vehicles’ positions.<br />

Initially, AVL required explicit polling<br />

of the vehicles, as radio transmission speed<br />

was limited. With the implementation of cellular<br />

analog and then digital transmissions,<br />

those speeds increased by many orders of<br />

magnitude.<br />

With this increased bandwidth, it<br />

has become feasible to monitor the exact<br />

routes being used as well as the speed and<br />

directions of the vehicles. This close monitoring<br />

allows the detection of unlawful<br />

movements and triggers alarm conditions<br />

S P R I N G 2 0 0 4<br />

29


when the vehicle strays significantly from a planned routing or location. Driver identification<br />

using a smart card or similar digital signature to attach a person to a vehicle<br />

is a simple matter.<br />

Much like air navigation, AVL supports progressive monitoring of a route from location<br />

to location, including complete velocity and direction that can be refreshed to the second.<br />

With the low driving speeds found in surface movements, it is fully feasible to use this type<br />

of technology to report on the movement of ground vehicles on an airport, at any size<br />

airport in the world.<br />

Figure 3: AVL Behavior Example: Perimeter Security Vehicle should pass along the<br />

black roadway along the shoreline at least once every two hours.<br />

One of the significant advantages of AVL technology is the ability to observe or monitor<br />

the behavior of the ground vehicles, not just the position. If we re-examine the table from the<br />

previous paragraphs, we can assign some kind of behavior to each of those categories. This<br />

would allow us to define when the actions of the vehicle are not consistent with the expected<br />

behavior and thus need to trigger an alarm.<br />

Following is a list of ground vehicle monitoring purposes and the relevant questions:<br />

A SSE T M ANAGEMENT PURPOSES<br />

Can we identify the location?<br />

Can we identify the driver?<br />

OPER ATIONAL EFFICIENC Y<br />

Has the driver of this vehicle surpassed his/her hours on the job?<br />

Is the vehicle being operated during its known hours of operation?<br />

Has a vehicle exceeded the speed for its chosen task?<br />

Has the vehicle gone from a state of transmission to silence?<br />

FIGURE 3<br />

AVL behavior<br />

example<br />

of route<br />

for security<br />

perimeter<br />

vehicle<br />

SECURIT Y SURVEILL ANCE<br />

Has a security vehicle driven along the entire fence/perimeter in the past period of time?<br />

Has a vehicle gone outside the known area of operation for this type of vehicle?<br />

Has a vehicle exceeded the speed for its chosen task?<br />

Has a vehicle gone from a state of transmission<br />

to silence?<br />

Is the driver of this vehicle qualified<br />

to operate the vehicle in restricted areas<br />

(such as fuel farms, customs areas or hazardous<br />

material storage)?<br />

FLIGHT OPERATIONS EMERGENCY RESPONSE<br />

Can we identify the vehicles that are<br />

trained to respond to this type of emergency?<br />

Can we identify that those vehicles<br />

are equipped with drivers trained in that<br />

purpose?<br />

Can we identify that all other vehicles<br />

have left the area of the emergency?<br />

Can we identify if any vehicles are impeding<br />

the response to the emergency?<br />

T ERRORIST OR SECURIT Y<br />

EMERGENC Y OPER ATIONS<br />

Can we identify other vehicles from<br />

external agencies needed to respond to<br />

the threat (National Guard, Police, Fire<br />

or TSA)?<br />

Can we ensure that those vehicles not<br />

responding to the threat are kept away<br />

from the area of the threat?<br />

In the increased level of security that<br />

has become commonplace in the airports<br />

of the world, several new geospatial<br />

technologies have combined to assist<br />

enhanced monitoring of ground vehicles.<br />

Those technologies include:<br />

(a) GIS databases of the airports,<br />

AMDB. These support vector<br />

mapping of the airport at<br />

positional accuracies down to 1<br />

meter RMSE, when derived from<br />

high-resolution satellite imagery.<br />

(b) The Wide-Area-Augmentation-System<br />

implemented by the FAA, which<br />

allows positioning vehicle and<br />

aircraft on the above maps to within<br />

1 – 2 meters.<br />

(c) Widespread and economical<br />

availability of wireless and cellular<br />

bandwidth.<br />

(d) Automatic Vehicle Location<br />

(AVL) technology that can<br />

combine all of the above to enable<br />

strict monitoring of airport<br />

ground vehicles. «<br />

30 S P R I N G 2 0 0 4 w w w . i m a g i n g n o t e s . c o m


2004 events calendar<br />

Ottowa<br />

may<br />

w w w . i m a g i n g n o t e s . c o m<br />

2 – 5<br />

Airport GIS Conference & Exhibition<br />

Hilton Back Bay<br />

Boston, Mass.<br />

www.airportnet.org/<br />

3 – 5<br />

IMAGIN Annual Conference<br />

Holiday Inn South<br />

Lansing, Mich.<br />

www.imagin.org/<br />

10 – 14<br />

GEOMATICA 2004<br />

Sede Palacio de las Convenciones<br />

Havana, Cuba<br />

www.informaticahabana.com/<br />

12 – 14<br />

GeoSpatial World 2004<br />

Fontainebleau Hilton<br />

Miami Beach, Fla.<br />

www.geospatialworld.com/<br />

23 – 28<br />

ASPRS 2004 Annual Conference<br />

Adam’s Mark Hotel<br />

Denver, Colo.<br />

www.asprs.org/denver2004/<br />

index.html<br />

23 – 27<br />

Bentley International<br />

User Conference<br />

Walt Disney World Swan & Dolphin<br />

Orlando, Fla.<br />

www.bentley.com/biuc/<br />

24 – 27<br />

Canadian Hydrographic Conference<br />

(CHC 2004)<br />

Ottawa Westin Hotel<br />

Ottawa, Canada<br />

www.chc2004.com/<br />

25 – 27<br />

24th EARSeL Symposium<br />

New Strategies for<br />

European Remote Sensing<br />

Inter University Centre<br />

Dubrovnik, Croatia<br />

www.earsel.geosat.hr/<br />

28 – 29<br />

Workshop: Remote Sensing of Land<br />

Use and Land Cover<br />

Inter University Centre<br />

Dubrovnik, Croatia<br />

www.earsel.geosat.hr/<br />

june<br />

7 – 9<br />

GISMAP 2004<br />

Waikiki Beach Marriott Resort<br />

Honolulu, Hawaii<br />

www.higicc.org/gismap.asp<br />

14 – 18<br />

50th OpenGIS Technical<br />

Committee Meetings<br />

Southampton, U.K.<br />

www.opengis.org/<br />

16 – 18<br />

46th International Symposium<br />

Electronics in Marine<br />

Zadar, Croatia<br />

www.vcl.fer.hr/elmar/2004/<br />

20 – 23<br />

97th Annual Canadian Institute of<br />

Geomatics Conference<br />

Westin Hotel<br />

Ottawa, Canada<br />

www.cig-acsg.ca/page.asp<br />

july<br />

Honolulu<br />

12 – 23<br />

ISPRS 20th Congress<br />

Convention and Exhibition Centre<br />

Istanbul, Turkey<br />

www.isprs2004-istanbul.com/<br />

18 – 20<br />

Public Participation GIS Conference<br />

University of Wisconsin-Madison<br />

Madison, Wis.<br />

www.urisa.org/ppgis.htm<br />

S P R I N G 2 0 0 4<br />

31


12076 Grant Street<br />

Thornton, CO 80241 USA<br />

2 S P R I N G 2 0 0 4 © 2 0 0 4 S P A C E I M A G I N G w w w . i m a g i n g n o t e s . c o m

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