INTRODUCTION
Connecticut, like many states, possesses a wealth of geospatial information utilized by various government sectors and organizations for essential functions, planning, mapping, and emergency management However, this abundance often leads to redundancy, with data created for specific applications without considering broader needs, resulting in inconsistencies and confusion over the best sources to use To address these challenges, Connecticut is collaborating with the Federal Geographic Data Committee (FGDC) and the National Spatial Data Infrastructure (NSDI) to establish a unified framework for managing geospatial data effectively.
The Connecticut Geospatial Information Systems Council (CGISC) presents this report, compiled by the Data Inventory and Assessment Working Group, to deliver a current and thorough evaluation of Connecticut's Geographic Framework Data.
NATIONAL SPATIAL DATA INFRASTRUCTURE FRAMEWORK
The National Spatial Data Infrastructure (NSDI) is a means to assemble geographic data nationwide to serve a variety of users.
GIS users across various fields consistently require access to specific data themes This framework represents a collaborative initiative where public and private organizations work together to develop, maintain, and integrate these essential data themes within a geographic region It serves as a fundamental component, forming the backbone of the data infrastructure.
The National Spatial Data Infrastructure (NSDI) framework was established by representatives from various levels of government and organizations, guided by the Federal Geographic Data Committee (FGDC) This framework is viewed by local, regional, state, and federal entities, as well as private companies, as a means to enhance resource sharing, improve communication, and boost overall efficiency.
The NSDI provides an environment within which organizations and technology interact to foster activities for using, managing, and producing geographic data.
The Framework serves as the foundational data structure of the National Spatial Data Infrastructure (NSDI), encompassing three key components: data, procedures, and technology for data management, alongside the institutional relationships and business practices that foster a supportive environment This comprehensive framework aims to enhance the production and utilization of geographic data, ultimately leading to cost reductions and improved service delivery and decision-making processes.
Geographic data are crucial for various operations but can be costly and time-consuming to produce, leading many organizations to duplicate existing datasets or forgo necessary data due to high production costs Additionally, when applications span multiple jurisdictions, combining existing data becomes challenging This framework addresses these issues by offering a dependable and standardized source for frequently required geographic data themes.
The initial NSDI framework includes the following seven core geographic data themes: Geodetic Control, Ortho Imagery, Elevation, Transportation, Hydrography, Governmental Units, and Cadastral Information
The seven key themes of geographic data are essential for most organizations and users, serving as a fundamental component of the National Spatial Data Infrastructure (NSDI) By adopting a collaborative approach to the production and sharing of these common data sets, organizations can significantly enhance their effectiveness in utilizing geographic information.
STRATEGIC PLAN
CGISC has received a Cooperative Agreements Program (CAP) grant to create a Strategic Plan aimed at advancing GIS and geospatial information in Connecticut This funding is part of the National Spatial Data Infrastructure (NSDI) Program, with the Federal Geographic Data Committee (FGDC) providing annual financial support to empower the geospatial community in implementing various NSDI components.
In the initial phases of the project, a steering committee and project team were formed, conducting multiple information-gathering sessions statewide These group visioning sessions aimed to identify and clarify goals while defining the needs across all levels of government Over 75 representatives from state, regional, and local governments, along with various potential stakeholders, participated in these sessions held in four distinct geographic locations throughout the state.
In addition to the listening sessions, an online survey was created to engage individuals who were unable to attend This effort garnered over 60 responses, highlighting the community's interest and input.
In alignment with the objectives of the National Spatial Data Infrastructure (NSDI), the results from listening sessions and an online survey highlighted the necessity for establishing a State Spatial Data Infrastructure (SSDI) This infrastructure would focus on the development of data layers, ensuring accuracy, and creating metadata standards for publication Furthermore, data produced by state, regional, and local governments would be systematically aggregated and made available for broader distribution across the state.
The strategic planning process identified the following four (4) specific themes to be priority layers for the state’s SSDI.
• Parcels – geographic representations of private and public real property
• Street Centerlines – full hierarchy of all private and public roads
• Address Points – specific point locations for all addressed
In addition to the four key data layers, municipal boundaries have been recognized as a crucial layer for the state Currently, there is no comprehensive statewide source for these boundaries, leading to numerous conflicts among communities Therefore, it is recommended that a definitive layer of administrative boundaries be established to address these issues.
STATE SPATIAL DATA INFRASTRUCTURE (SSDI)
The Connecticut SSDI aims to enhance operational efficiency, lower costs, and support collaborative decision-making by offering accessible digital geographic data This infrastructure standardizes essential data types, ensuring they are widely available It includes the original seven NSDI themes and introduces additional themes vital to Connecticut's geospatial priorities and business requirements, such as Addressing and Census data.
Demographics, Critical Infrastructure and Key Resources, Geographic Names and Places, and Land Use and Land Cover.
The following are the guiding principles for building the infrastructure:
• The infrastructure should be a preferred data source It should represent the best available data for an area – the most current, complete, and accurate data
• The infrastructure should be widely used and useful Users must be able to easily integrate framework data with their own and provide feedback and corrections to framework data
• Access to infrastructure data should be at the lowest possible cost without restrictions on use and dissemination The infrastructure is a public resource
• Duplication of efforts should be minimized Sharing the development and maintenance of framework data reduces the costs of individual users' data production
Effective infrastructure relies on collaboration, as it is developed through the collective efforts of various stakeholders who contribute to its design, development, and data input.
CONNECTICUT GEOGRAPHIC FRAMEWORK DATA THEMES
In alignment with the National Spatial Data Infrastructure (NSDI), the Data Inventory and Assessment Working Group has identified eleven key data categories to form the foundation of Connecticut's Geographic Framework Data and the State Spatial Data Infrastructure (SSDI) Recently, a twelfth category was introduced to specifically address the evolving needs related to data management and addressing.
Connecticut's geographic data development involves collaboration among various government agencies, with CGISC member agencies playing a crucial role in the statewide creation of base map themes and the SSDI The success of these initiatives heavily relies on the contributions of federal agencies, which have invested significant resources and developed national standards that streamline the mapping process These standards not only save time for the CGISC but also ensure compatibility with datasets from neighboring states Both state and federal agencies contribute funding and integrate multiple datasets, enhancing the quality and coverage of geographic information at the state and national levels.
While state and federal agencies can compile extensive datasets, the most accurate and comprehensive data often originate from local and regional sources Local participation is essential for creating detailed datasets that reflect the best available information Municipalities and planning regions are key players in the regular collection of geographic data The advantages of local data collection include a deeper understanding of mapped features, such as roads and properties, and a stronger motivation to maintain these datasets Consequently, local data tends to be large-scale, offering higher accuracy and a wider variety of features with enhanced attribution.
Locally sourced data is crucial for effective base map development, creating a two-way flow where GIS data rises from local sources to state and national levels, while funding, standards, and data integration descend from higher governmental organizations This dynamic highlights the importance of fostering strong partnerships to ensure the production of high-quality base maps.
The reports feature a visually appealing tabular format that consistently presents identical data fields across all themes Developed by committees of industry experts and knowledgeable individuals from academia, government, and the private sector, these reports ensure comprehensive insights into the data.
The illustrations aim to accurately represent the final product, showcasing either the dataset itself or its application Below are the information categories corresponding to each theme.
• Theme Description – defines the dataset and offers a general overview Note that
Appendix One is a glossary that also defines the themes and related terms.
• Theme Uses – lists general applications the theme is suitable for.
• Relationship to Other Base Map Themes – describes how a theme is used with other base map themes both with regard to data production and applications.
• Status – lists status and any mitigating factors.
• Source of Data – lists datasets (base map themes and others) and organizations providing data.
• Standards – lists published standards wherever possible.
• What is Needed to Complete – this builds on theme status and lists action items to be taken next.
• Data Custodians – the organization responsible for data content and maintenance
All themes must have a CGISC member agency custodian
Appropriate federal agency is listed as needed because many themes use federal funds, standards, or other guidance.
• Data Developer – the group actually producing the data (not necessarily the custodian).
• Data Distributors – current and prospective sources for obtaining datasets.
• Primary Data Users & Stakeholders – agencies and other organizations actively using (or with the potential to use) the dataset.
• Comments – other information not applicable in the above categories.
A DDRESSING 9 B A DMINISTRATIVE AND P OLITICAL B OUNDARIES 13 C B ASE M AP I MAGERY 15 D C ADASTRAL I NFORMATION 18 E C ENSUS AND D EMOGRAPHICS 23 F C RITICAL I NFRASTRUCTURE AND K EY R ESOURCES 25 G E LEVATION AND B ATHYMETRY 28 H G EODETIC C ONTROL 34 I G EOGRAPHIC N AMES AND P LACES 37 J H YDROGRAPHY 39 K L AND U SE AND L AND C OVER 44 L T RANSPORTATION 48 VI APPLICATION SPECIFIC DAT
▲ Image depicts a set of address points with address numbers and street centerlines with street names and address ranges overlaid on top of an orthophoto.
Theme Description The Addressing theme contains the following types of features:
Address Points aim to accurately pinpoint the entrance of a building while ensuring consistent attributes for street names and numbers To achieve this level of locational precision, initial solutions may include using a parcel or building centroid, or determining the geocoded position along the centerline of the street.
Landmarks aim to identify and spatially locate significant features that are not associated with buildings, including parks, ball fields, village centers, and commuter parking lots While precise locational accuracy is not essential, it is important that these features are represented within their respective boundaries.
Intersections serve as key reference points for the spatial convergence of roads, providing essential locations for various features and events This functionality is particularly beneficial for GIS users lacking network analysis capabilities, enhancing their ability to interpret and utilize geographic data effectively.
This article emphasizes the importance of maintaining confidentiality by excluding the names of owners or occupants in standardized address themes The goal is to create address themes that can be integrated with various data sources without compromising sensitive information, such as confidential 9-1-1 data Ultimately, it is the responsibility of the end user or the agency managing the data to link this information to the standardized address themes.
Theme Uses Improved emergency response and routing, disaster mitigation and evacuation, utilities, tax appraisal, voting districts, 9-1-1, zoning, census, locating agency clients (e.g insurance, health), and developing political jurisdictions and districts.
Addressing features are intricately linked to the Transportation theme and should be developed alongside relevant data sets, such as street name information and street centerline data, which share the same source Additionally, the address range information within the street centerline is derived from address point data Furthermore, addressing features are connected to the Cadastral theme, as most properties possess an address point or landmark feature, with properties like condominiums or apartment complexes having multiple address points for a single parcel.
Currently, there is no comprehensive point-based address data available for the entire state However, select municipalities possess address points or other addressing data that will contribute to the development of a statewide address database The existing option for address location relies on street centerline address range data, which is provided through state-licensed TeleAtlas street centerline data.
Source of Data Municipalities, State, Utilities.
Standards • FGDC Address Content Standard (see www.fgdc.gov/standards/status/sub2_4.html)
• The National Emergency Number Association has standards for technical issues for database maintenance (see www.nena.org/9-1- 1TechStandards/index.htm
• U.S Postal Service Publication 28 has standards for addressing, including street suffixes (see http://www.usps.com/ncsc/lookups/abbreviations.html#suffix
Complete 1 A business plan will be developed for the implementation of the
This article outlines a proposed geodatabase model for addresses, detailing a strategy for collecting address data Additionally, it includes procedures for the ongoing maintenance and distribution of this information.
2 A pilot address geodatabase model is currently being developed by DPS-OSET to facilitate collection and storage of address information.
The State will create an Addressing Guideline to aid municipalities in assigning addresses, which includes street naming, numbering, unit identification, and establishing address ranges This guideline will also provide rules to address common addressing challenges.
Municipalities are proposed to serve as data custodians, while the Department of Public Safety (DPS) will function as the statewide data clearinghouse, ensuring compliance with established standards It is recommended that municipalities submit updates to the DPS at least once a year, with a deadline set for January 1st.
Data Developers Local, municipal, regional, utilities, and state agencies.
Stakeholders Virtually everyone in the State will make use of Addressing features including
The key agencies involved in public safety and service delivery include 9-1-1, the Department of Public Health, the Department of Public Safety, the Department of Education, the Department of Environmental Protection, the Department of Transportation, and the Department of Emergency Management and Homeland Security Additionally, municipalities, utilities, regional agencies, the U.S Postal Service, and various service delivery businesses play crucial roles in ensuring community well-being and effective emergency response.
Comments The Connecticut GIS Council’s Strategic plan has made a statewide point- based address database one of its Framework Data Layers
Theme Description This theme consists of the following Official Political Boundaries:
The article discusses various governmental and administrative boundaries, including state, municipal, and incorporated city or borough lines, as well as county and regional planning organizations such as Councils of Governments and Regional Planning Agencies It also highlights the significance of congressional and voting districts, along with state administrative boundaries like those used by the Department of Emergency Management and Homeland Security.
Redistricting plays a crucial role in shaping voting districts and zoning regulations, impacting property sales and conservation efforts It involves comprehensive socioeconomic analysis, utilizing census and demographic data to inform regional planning Additionally, effective redistricting is essential for disaster preparedness and emergency response, ensuring equitable service distribution The production of accurate maps further supports these specialized purposes, enhancing community development and planning initiatives.
Map Themes Cadastral data should be bound by the municipal boundaries
Orthoimagery and Geodetic Control may be used to provide the geographic referencing for these data, as well as for Cadastral
Transportation features must be linked to municipal boundaries for geocoding and addressing needs Census geographies are associated
Administrative and Political Boundaries Continued… with municipal boundaries Municipal boundaries may be coincident with Hydrography, where rivers, stream, or coastline acts as a boundary or Transportation where roads follow boundaries
Additionally, every feature represented by a framework theme exists within the state of Connecticut and its administrative boundaries
Municipal boundary data is available, but there is no officially established map by statute Current data exists at various scales, including 1:24,000, 1:100,000, and 1:125,000 Many boundary delineations have been created using this existing municipal data, which is typically accessible through State or Federal agencies Although this data is generally regarded as complete and suitable for statewide illustrative mapping, it is outdated and lacks the accuracy and precision needed for local or regional applications.
Municipal boundary data lacks a single definitive source, as administrative boundaries are typically established by the relevant agencies or entities responsible for their delineation For instance, the State Department of Public Health serves as the authoritative source for the boundaries of Local Health Departments and Districts.
Standards None defined by the State Federal standards defined by the U.S
Geological Survey for 1:24,000 scale and 1:100,000 scale The FGDC is in the process of developing a Governmental Unit Boundary Data content standard and some individual states have developed preliminary standards.
To accurately complete a statewide survey of municipal boundaries, it is essential to gather precise data on these boundaries, as they often serve as the foundation for other administrative boundaries While certain political boundaries, like voting districts, may fall within a municipality, they do not necessitate the same level of precision as municipal boundaries.
Data Custodians U.S Geological Survey, U.S Census Bureau, CT DEP, CT DOT
Data Developers U.S Geological Survey, U.S Census Bureau, CT DEP, CT DOT
Data Distributor U.S Geological Survey, U.S Census Bureau, CT DEP
Stakeholders All Connecticut residents, municipalities, regional planning organizations, State Agencies, Federal Agencies businesses
B IOSCIENCE 51 B C LIMATE 51 C E NVIRONMENTAL 51 D G EOSCIENCE 51 E P REPAREDNESS 51 F P UBLIC H EALTH 51 G P UBLIC S AFETY 51 H U TILITIES 51 VII COORDINATION WITH COUNCIL INITIATIVES
VII Coordination with Council Initiatives
The Strategic Planning Process identified the following program goals for the Council to focus on:
C OORDINATE AND O RGANIZE GIS E FFORTS 51 B F RAMEWORK D ATA L AYERS 51 C C OMMUNICATE AND E DUCATE 52 VIII FRAMEWORK RECOMMENDATIONS
NEXT STEPS
In the coming year, the Data Inventory and Assessment Working Group will concentrate on the ongoing evaluation and cataloging of framework data themes, with particular emphasis on the priority framework data layers identified during the strategic planning process.
Identification and review of other theme areas not yet covered such as human services areas; Assessment of data standards; and Review of USGS CAP Grant opportunities and application process.
APPENDIX ONE: GLOSSARY
Accuracy – The closeness of observations to true values or values accepted to be true
Accuracy pertains to the quality of a result, while precision refers to the quality of the method used to obtain that result In the context of GIS, accuracy often specifically denotes positional accuracy, typically expressed as "plus or minus X meters."
Address Points - Positional location of structures, landmarks or intersections consisting of numerical and text elements such as street number, street name and city.
Address Range - The range of house numbers along a specific street segment
Administrative Boundaries - Data which describe official boundaries of federal, state, local, governmental as reported to the U.S Census Bureau by officials of each government.
An attribute is a descriptive characteristic or quality assigned to geographic features within a Geographic Information System (GIS) These attributes can have one or more discrete values and are typically stored as text in a database format, providing essential data about the features.
Base data – Set of information that provides a baseline orientation for another theme of primary focus, e.g., roads, streams, and other data typically found on USGS topographic and/or planimetric maps.
Bathymetry - The science of measuring and charting water bodies to determine the topography.
Bioscience - Any of several branches of the sciences that deal with living organisms and their organization.
Cadastral – Current, parcel based land information system containing a systematic description of land units within an area This may include data on location, ownership, property outlines, and parcel identification.
CADD - Computer Aided Design and Drafting
CALS – Connecticut Association of Land Surveyors
CAMA - Computer Aided Mass Appraisal
CAAO - Connecticut Association of Assessing Officers
Cartographic - Representation of features on the earth graphically through maps or charts.
The census is a vital tool that offers foundational data about a community, encompassing key aspects such as population demographics, employment statistics, and household composition This essential information is gathered through comprehensive household surveys and is meticulously compiled through statistical methods.
Census Boundaries – Base map theme composed of polygons based on census mapping units (i.e blocks and tracts) with attribute data containing demographic and socioeconomic information.
CLEAR - Center for Land Use Education and Research.
Color Infrared (CIR) utilizes non-visible light wavelengths exceeding 700 nanometers to deliver insights on vegetative mass, health, soil moisture, and geological features By representing infrared data in red, CIR film creates a false color image that enhances the visibility of these critical environmental factors.
Climatology - The study of climates and their phenomena.
CGISC - Connecticut Geospatial Information Systems Council
Established by Executive Order, June 2005.
Connecticut User to User Network - A voluntary association of individuals and organizations in Connecticut that use GIS-based technologies and data
Contour – a line connecting points of equal elevation.
A control point is a specific location within a horizontal or vertical control network that can be recognized in a dataset or photograph It serves as a reference to align the dataset or photograph with real-world ground coordinates, ensuring accurate spatial correlation.
A coordinate system is a reference framework that employs linear or angular measurements to define the positions of points within that framework It allows for the representation of locations on the Earth's surface in relation to other places or fixed reference points.
Critical Infrastructure serves as a foundational map theme that gathers geographic locations and attribute data for various facilities across multiple sectors, including transportation, energy, agriculture, telecommunications, chemical, defense, and public health.
Data quality – Refers to the degree of excellence exhibited by the data in relation to the portrayal of the actual phenomena.
Dataset – Collection of similar and related information recorded in a common format.
A datum serves as a mathematical reference framework for geodetic coordinates, established by the latitude and longitude of a starting point, the azimuth of a line originating from that point, and the parameters of the ellipsoid associated with the initial location.
DEP - Department of Environmental Protection
DEM – See Digital Elevation Model.
Demographics - The statistical characteristics of a population such as age, income, birth rate, and race
DEMHS – Department of Emergency Management and Homeland
Digital data – Of or relating to information presented in the form of digits–data displayed, recorded, or stored in binary notation.
A Digital Elevation Model (DEM) is a digital representation of terrain elevations, capturing data at grid intersections of either 10 or 30 meters This model is systematically organized by quadrangle, serving as the digital counterpart to traditional elevation data found on topographic base maps.
Digital Orthophoto Quarter Quad – An orthoimage clipped to fit a
USGS quadrangle grid – typically 3.75-minutes (see Orthoimage) or one-quarter of the familiar 7.5-minute grid.
DMV - Department of Motor Vehicles
DOIT - Department of Information Technology
DOQ or DOQQ – See Digital Orthophoto Quarter Quad.
DPS – Department of Public Safety.
DPW - Department of Public Works
DRG – Digital Raster Graphic - Scanned version of 7.5-minute U.S
ECAP – RRC's Electronic Compliance and Approval Process.
Elevation contours are a crucial GIS base map theme that illustrates topographic relief through contour lines, where each point on a contour line shares the same elevation This contour data is essential for various applications that rely on elevation information.
ETM+ – Enhanced Thematic Mapper Plus, an imaging sensor mounted on the Landsat 7 earth observing satellite.
Feature – An object that has a geographic location that can be represented by one or more points, lines, or polygons.
FEMA – Federal Emergency Management Agency.
FGDC – Federal Geographic Data Committee.
FIP – National Floodplain Insurance Program.
FIRM – Flood Insurance Rate Map series produced by FEMA.
First Order Vertical Control Marker - Benchmarks
The Flood Hazard base map theme illustrates the 100 and 500-year floodplains, base flood elevations, and risk premium zones essential for property insurance This updated digital representation is derived from FEMA’s Flood Insurance Rate Map (FIRM) series, providing crucial information for assessing flood risks.
Framework - The framework is a collaborative community based effort in which commonly needed data themes are developed, maintained, and integrated by public and private organizations within a geographic area.
Geodetic control refers to a network of precisely established points marked by durable monuments throughout the landscape, each assigned a high-accuracy positional value By utilizing this network as a reference, field survey measurements can be collected with enhanced accuracy, improving the overall quality of survey data.
A Geographic Information System (GIS) is a comprehensive computer system designed for the input, editing, storage, maintenance, management, retrieval, analysis, synthesis, and output of geographic or location-based information While the term can refer strictly to hardware and software, it commonly encompasses all three elements: hardware, software, and data Organizations typically use GIS to refer to this broader definition, which may also include the personnel and procedures involved in its operation In this context, the focus is on the integration of hardware, software, and data within GIS.
Geographic Names – GIS base map theme based on a tabular database with map coordinates of virtually every named place in
Connecticut, such as towns, schools, parks, and creeks.
Geoereference – to establish the relationship between raw coordinates of a geospatial dataset and known earth-based coordinates.
Geoscience - Any of the sciences that deals with the earth
Geospatial data – Information that identifies the geographic location and characteristics of natural or constructed features and boundaries on the earth.
Geospatial metadata – Data about the content, quality, condition, and other characteristics of a geospatial dataset.
GeoTIFF – A version of the raster TIFF format that recognizes geospatial coordinates.
GIS – See Geographic Information System.
Global Positioning System – A satellite-based navigation system developed by the U.S Department of Defense GPS receivers can determine one's position on the earth's surface.
Governmental Units - Legally documented and attributed jurisdictional boundaries, such as city, census, or state boundaries.
GNIS – USGS's Geographic Names Information System.
GNSS - Global Navigation Satellite System
GPS – See Global Positioning System.
Ground Control – See Control point.
Historical Aerial Photography serves as a valuable base map theme, featuring scanned and georeferenced aerial images that span from ten to seventy years in age These photographs are organized by county throughout the state and can be seamlessly integrated with other base map themes and GIS datasets, enhancing geographic analysis and research.
Hydrography – A representation of surface water features including all flowing water, water bodies, marshlands, springs, and water-related, man-made features such as canals, locks, and dams.
Hypsography – A representation of the elevation features of surface topography, such as lines of equal elevation (contours) and point elevations.
Imagery – A two-dimensional digital representation of the earth's surface Examples are a digital aerial photograph, a satellite scene, or an airborne radar scan
Land cover refers to the various features that constitute the Earth's surface, categorized through a systematic classification Key classifications include forests, water bodies, wetlands, urban areas, and more specific subdivisions within each category.
Land Use - A map theme that classifies land according to what activities take place, agricultural, industrial, residential, urban, etc
FRAMEWORK DATA THEME SUBCOMMITTEES
Below are the Framework Data Themes Subcommittee Membership Lists Please note the Subcommittee Chairs are denoted in bold.
Mike Blake, GNHWPCA Steve Biancardi, Hartford, PD Jason Courter, New England GeoSystems
John Don Francisco, QVEC Brett Flodine, City of Hartford Eric Glover, DOT
Dawn Mulholland, Town of South Windsor Drew O’Connor, Rocky Hill PD
Bryan Pavlik, DPS Donna Ralston, Town of East Hampton Scott Roberts, Town of South Windsor Vince Pito, US Census Bureau
Bob Baron, DOT Lynn Bjorklund, USGS
Base Map Imagery (Ortho, Oblique, Satellite and Scanned Imagery)
Bob Baron, DOT Lynn Bjorklund, USGS Dan Civco, UCONN
Rich Gallacher, Manchester, Chair Aaron Nash, Vernon
Kevin O'Brien, DEP Bryan Pavlik, DPS Sandy Prisloe, UCONN
Scott Roberts, South Windsor, Chair
Howie Sternberg, DEPSteve Rice, CT State Library
Lawrence Baril, Town of Avon Jeff Bolton, DPW
Jason Courter, New England Geosystems Becky Cutler, DPW
Mark Goetz, City of Hartford, Chair
Len Desson, Planimetrics John Durling, DOT
Melinda Fonda, Town of Stratford Rich Gallacher, Town of Manchester John Hangen, City of Milford
Tyler Kleykamp, OPM Patrick Ladd, Town of Meriden Stephen Lowrey, Town of Vernon Jackie Mickiewicz, DEP
Erik Snowden, CRCOG Andy Tupper, CALS
Gary Archambault, DPH Justin Brunetti, DOT Steve Rice, CT State Library
Dan Czaja, alongside key figures such as DPS Becky Cutler, DPW Sgt Bob Eddy, and DPS Wayne Kasacek, collaborated with various departments including DOA Phil Moberg, DOT Lauren McLane, and DHS Raymond Philbrick Additionally, DPW's Beth Stewart-Kelly and CTARNG representatives LTC Gerald Luwkowski and Peter Sandgren from DEMHS contributed to the efforts.
Captain Mike Alfultis, USCG Bob Baron, DOT
Tom Meyer, UCONN Kevin O'Brien DEP, Chair Howie Sternberg, DEP Roman Zajac, UNH
Darek Massalski, DOT Tom Meyer, UCONN, Chair Andy Tupper, CALS
Lynn Bjorklund, USGS Diana Danenberg, DEP Steve Rice, CT State Library Jim Spencer, DOT
Lynn Bjorklund, USGS Diana Danenberg, DEP Pete Steves, USGS
Land Use and Land Cover
Dan Civco, UCONN James Hurd, UConn Tyler Kleykamp, OPM Sandy Prisloe, UConn Erik Snowden, CRCOG Howie Sternberg, DEP Donna Weaver, DOT
Julie Annino, DOT Bob Bruno, DOT Jennifer Cartier, DOT Dan Czaja, DPS Raby David, DOT Rich Gallacher, Manchester Eric Glover, DOT