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Slide 1 ESRI Homeland Security Summit Boston Preparedness Project 2-years Later: Recommendations in Action Presented by: Michael Terner Executive Vice President, Applied Geographics, Inc. [email protected] Contributions from: Brian Hebert, AppGeo Peter Bujwid, AppGeo Rich Grady, AppGeo Michael Philbin, MEMA

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Slide 1

© www.AppGeo.com - 2005

ESRI Homeland Security SummitBoston Preparedness Project 2-years Later:

Recommendations in Action

Presented by:Michael Terner

Executive Vice President, Applied Geographics, Inc.

[email protected]

Contributions from:Brian Hebert, AppGeoPeter Bujwid, AppGeoRich Grady, AppGeo

Michael Philbin, MEMA

Slide 2

© www.AppGeo.com - 2005

Overview of Presentation

Overview of Boston Preparedness Pilot

Observations from NCR/HSIP Pilot and involvement in Project Homeland

Issues of schema development and normalization

Observations from Massachusetts Emergency Management Agency (MEMA) eCEMP Project

Distributed, web-based critical infrastructure data collection

Slide 3

© www.AppGeo.com - 2005

The Boston Preparedness Pilot Project, Sept. 2003

Cover story of GeoIntelligence Magazine – Mar/Apr ‘04http://www.appgeo.com/clients/NOAA_HomelandSecurity

Phase I: Funded by MassGISPoll First Responders for GIS data needs

Explore data schema design issues

Phase II: Funded by NOAADevelop/assemble priority critical infrastructure (CI) data layers

Offer lessons learned to other 132 Urban Areas

Slide 4

© www.AppGeo.com - 2005

Boston Preparedness Project Data Listing

Slide 5

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Data Assembled to Support Classic Situational Awareness Types of Drilldown

Slide 6

© www.AppGeo.com - 2005

Boston Preparedness Pilot Project Data Quality Recommendations

Assembling the most accurate data requires local inputLocal data must rollup to national level, not vice versa

Assembling the data is only the first step, mechanisms for maintaining the data are essential

Building high-quality homeland security and critical infrastructure protection applications implies a need for laborious data quality improvement work

“…Unglamorous data development and data quality enhancement work is a necessary precursor to more sexy application development work…”

On-line, web-based markup tools can greatly facilitate the ability for widely decentralized organizations to participate in data collection and quality assurance efforts

Slide 7

© www.AppGeo.com - 2005

Boston Preparedness Pilot Project RecommendationsOn the role of the Federal Government

Recommendation that local data should “rollup” into national data sets and that the Federal role in direct data collection might be limited

Purchasing imageryEstablishing blanket agreements with commercial data providers

However, the Federal Government plays a vital role to “help orchestrate decentralized data collection efforts”

Setting standards for data format and contentAs Jack’s slide stated: “Local transactions, National Specifications”

Setting ground rules for data collection practicesFacilitating the development of the “recipe” that each Urban Area should follow

Slide 8

© www.AppGeo.com - 2005

Homeland Security Infrastructure Protection (HSIP) / National Capital Region (HSIP/NCR) Pilot Project

Worked under Michael Baker, Corp. on contract to National Geospatial-Intelligence Agency (NGA) during 2004Explored CI data schema options and complexities and piloted development for NCR

Reconcile SDSFIE with HSIPDevelop a schema for a subset of HSIP and implement in a personal Geodatabase

• HSIP “layer list” vs. structured schema

Conceptualize HSIP data warehousing scenarios and ETL proceduresDevelop tools for schema-to-schema mapping and metadata tracking from multiple sourcesPopulate target HSIP schema with actual data from NCRDocument lessons-learned and recommendations

Slide 9

© www.AppGeo.com - 2005

Project Homeland

Worked under ESRI on contract to National Geospatial-Intelligence Agency (NGA) during 2004-2005

Develop a refined Homeland Security Infrastructure Protection (HSIP) layer list, including Sectors and Features, with associated documentation

Build a schema for the refined HSIP

Implement in a personal Geodatabase with associated documentation

Iterate with stakeholders (NGA, DHS, USGS, DoD/Northcom) on application to Pilot Cities (e.g. San Francisco, Colorado Springs, Arizona Border Area)

Slide 10

© www.AppGeo.com - 2005

Contact InfoOne structure may have

multiple contacts• Owner• Superintendent• Tenants• Addresses• Phone numbers

Context InfoWhere is the building and

what is nearby?Is the building a…

• School• Police station• Hospital • Nursing home/elder care• Shelter• Staging area• “High risk” terrorist target• Etc.

One building can have multiple contexts

Content InfoSpatial/Graphic Data

• Entrance/egress points• Stacking diagram• Floor plans• Electrical system• Water/sewer systems

Tabular DB Data • Hazardous materials• Daytime/night time population• Elevator characteristics• Etc.

John Hancock Tower South Station Tower(proposed)

FederalReserve Bank One Boston Place One

International Place First National Bank OneFinancial Center

111Huntington Avenue

TwoInternational Place

OnePost Office Square

OneFederal Street Exchange Place 60

State StreetOne

Beacon Street28

State StreetCustom House

TowerState Street

Bank33

Arch StreetMillennium Place

Tower OneOne

Lincoln StreetJohn Hancock

Building125

High Street

Schema Complexities, e.g. for buildings

Slide 11

© www.AppGeo.com - 2005

Schema challenge: Multi-role GIS features

The same base GIS feature can really be several different things.

A school can also be a day care center, a shelter, or an emergency operations center.

A fire station and police station can occupy the same building

How can we best model this to support data import, use, and updating?

Slide 12

© www.AppGeo.com - 2005

GeoDatabase

Complex relationships, connectivity, sophisticated applications

Schema Complexity Hierarchy

Machine Processing

SDSFIE

More specific, more features, Military Base FacilitiesApplication

Sophistication HSIP

Flat, denormalized views for easy exchange and viewing

Palanterra(early versions)

Minimal structure, some metadata requiredHumanVisual

Features + Attributes + Domains + Relationships = Cost

Slide 13

© www.AppGeo.com - 2005

GIS warehouse can benefit from schema simplification

Easier to exchange and import into central repositoryThe ETL is easier (extraction; translation; loading)

Facilitates use of XML

Easier to QAQC and cleanup

Easier to use in viewing applications

Slide 14

© www.AppGeo.com - 2005

ConclusionsSchema issues are important but have yet to be resolved categorically

Project homeland is ongoingPeople continue to wait for “the next HSIP”

Simplicity aids in data warehousing challenges

Complexity aids in rich applications

Highlights importance of developing these schemasData contributors want the roadmap

Slide 15

© www.AppGeo.com - 2005

Massachusetts Emergency Management Agency (MEMA) eCEMP: Comprehensive Emergency Management Plan Web-site

Slide 16

© www.AppGeo.com - 2005

Comprehensive Emergency Management Planning in Massachusetts

351 Cities and Towns As well as Wampanoag Regional Enterprise Zone

No unincorporated places

Local Rule and strong municipal identity

Limited County Government

Largest community is Boston with 589,000

Smallest community is Gosnold with 86

Slide 17

© www.AppGeo.com - 2005

Comprehensive Emergency Management Planning in Massachusetts

Foundation for emergency management and planning is at the community level

CEM Plan identifies:HazardsVulnerable populationsResponse resourcesBasic preparation, response, recovery and mitigation steps

Slide 18

© www.AppGeo.com - 2005

CEM Plan Creation, historically

CEM Plans are created from data prepared by communities using a Data Collection Packet or DCP

Historically, an MS-Word template

Information harvested from MS-Word by MEMA feeds an MS-Access database

Multi-year update cycle (every 3-4 years)Regional MEMA office provides community assistance

Mapping, using GIS, completed by MEMA

Slide 19

© www.AppGeo.com - 2005

Drive for improvement…

Need to provide communities with a better and more timely plan update process

Need to capture CEM Plan related data in a more structured and robust manner – Oracle DB

Need to promote and support state information mining of locally collected data

Local knowledge critical to improving data quality

Slide 20

© www.AppGeo.com - 2005

…resulted in ‘eCEMP’

Web-based information resource

Up to date, locally collected data (replaces paper DCP)

Dynamic CEM plan generation and archiving

State-wide views of data such as Critical InfrastructureAbility to create multi-town composite plans

Document sharing and management

Web based tools for map markup

Slide 21

© www.AppGeo.com - 2005

eCEMP will…

Allow MEMA to collect and build statewide datasets using the best ‘local’ knowledge including location data

Assist MEMA in allocating state resources

Give agency new analytical capabilities – vanishing political boundaries

Become hub for information pertaining to emergency management

The eCEMP Website provides an important tool for all hazard planning at the Community, Regional and State levels and will also help meet Homeland Security planning needs.

Slide 22

© www.AppGeo.com - 2005

eCEMP Architecture

The vast majority of eCEMP is an Oracle DB

Large set of forms authored in VisualStudio.NET

Mapping is supported with a thin client and ArcIMS web-services emanating from MassGIS

Slide 23

© www.AppGeo.com - 2005

Typical eCEMP Workflow: Power Plants

Multiple levels of users

Authenticated login

User can only edit “their” community

MEMA users can review any community’s plan

Slide 24

© www.AppGeo.com - 2005

Typical eCEMP Workflow: Power Plants

Slide 25

© www.AppGeo.com - 2005

Multi-role facilities: distinction between “facility” & “features”

Faci

lity

Rec

ords

M

anag

emen

t

Feat

ure

Rec

ords

Man

agem

ent

Maintain Map Label Maintain Map Label Maintain Map Label

Maintain Feature Location

24 Bigelow St.Contact Info.

Geocode

Police Station Mass Care Shelter Fire Station

Slide 26

© www.AppGeo.com - 2005

User selects an existing facilityQueries to ID subset of facilities to narrow searchChooses an existing facility to assign as a Power Plant featureAdds additional Power Plant characteristic information

Typical eCEMP Workflow: Power Plants

Slide 27

© www.AppGeo.com - 2005

Initial facility locations derived from batch geocoding by MEMAUsers with local knowledge can refine location using MassGIS orthophotos as they create “features”

Users interactively “move the point”

All features derived from that facility will benefit from the improved location

Typical eCEMP Workflow: Power Plants

Slide 28

© www.AppGeo.com - 2005

Application Provides Interactive Digitizing of Points and Lines on top of MassGIS ArcIMS Web Services

MassGIS web map services

MEMA Oracle database

MEMA eCEMPapplication

Slide 29

© www.AppGeo.com - 2005

Application Provides Interactive Label Placement to Create Legible Final Maps

Slide 30

© www.AppGeo.com - 2005

Application Provides Printing of Reports & Attachments

Slide 31

© www.AppGeo.com - 2005

Reports, Maps & Attachments Produced as PDF

Slide 32

© www.AppGeo.com - 2005

eCEMP Current Status & Next Steps

MEMA deployed training instance of site at AppGeo254 training “sessions” logged in August64,000 page hits

Application installed on CHSB’s Oracle Server this monthCriminal History Service Board offered use of Oracle server for no-cost hostingPlanned to be operational this Fall/Winter

Version 2 under planningFunding requiredHopes that success of version 1 will help

Highlights of potential Version 2Self hosted by MEMATighter integration with GIS server environmentFeatures go directly into ArcSDE schemaRegional and state reports/maps built-outNIMS typing for featuresWebEOC linkages

Slide 33

© www.AppGeo.com - 2005

Conclusions

Geospatial applications for Homeland Security/Defense continue to evolve and gain importance

Looking at early projects and applying lessons learned is critical for continued improvements

As more advanced end-user applications, e.g. Palanterra™, continue to come on-line there will be increased demand for better quality data

And hopefully support for the hard work involved in creating high-quality and reliable local information

Slide 34

© www.AppGeo.com - 2005

Questions & Discussion