Information used to reference the data.
Title: Connecticut Ground Elevation for 2000
Originators: University of Connecticut, College of Agriculture and Natural Resources (compiler, editor and publisher)
State of Connecticut, Department of Environmental Protection (DEP)
State of Connecticut, Department of Public Safety (DPS)
State of Connecticut, Department of Transportation (DOT)
Publisher: University of Connecticut, College of Agriculture and Natural Resources
Publication place: Storrs, Connecticut
Publication date: Unknown
Data type: SDE raster digital data
Other citation details:
Agencies that provided the funding to capture 2004 orthophotography and 2000 LiDAR elevation data for Connecticut include the DEP, DOT, and DPS.
A characterization of the data, including its intended use and limitations.
Connecticut Ground Elevation for 2000 is a digitial elevation model (DEM) dataset that represents 10-foot spatial resolution elevation information for the state of Connecticut. This elevation information for Connecticut was obtained from the University of Connecticut, College of Agriculture and Natural Resources, Center for Land Use Education and Research (CLEAR). It is derived from point elevation data available for Connecticut captured during the year 2000 using Light Detection And Ranging (LiDAR) technology. Note, the 2000 LiDAR data for Connecticut is not complete so this statewide elevation information may be incorrect in some areas. For unknown reasons, in some areas of the state there are gaps in the underlying LiDAR point data. This is a known limitation of the 2000 LiDAR data for Connecticut. In an effort to create a seamless statewide elevation dataset, the University of Connecticut, College of Agriculture and Natural Resources edited point elevation files to remove anomalous observations. Given the volume of data, there are likely errors present in the point data as well as in an interpolated surface. The elevation data are in a gridded format and are projected into the State Plane Coordinate System Zone 0600, orthometric heights (NAVD 88) in US Survey feet.
This information is used to represent ground elevation at a regional level and not intended for use at detailed scales or to determine the exact elevation at a particular location.
Based on a statewide 10 ft elevation grid in ArcInfo format named ct-lidar obtained from the University of Connecticut, College of Agriculture and Natural Resources. This information is derived from point elevation data available for Connecticut that was captured in 2000 using Light Detection And Ranging (LiDAR) technology.
Aero-Metric, Inc. of Sheboygan Wisconsin was contracted by the State of Connecticut to provide the 2004 Statewide Aerial Survey of Connecticut. Contract deliverables include digital orthohotos, two sets of non-rectified prints for stereoscopic viewing, photo indexes, and LiDAR data. All 2004 Statewide Aerial Survey imagery and data products are defined under State of Connecticut contract award number RFP-990-A-14-0518-C (dated Feb 22, 2000), including contract award supplement #1 (dated Feb 28, 2002), contract award supplement #2 (dated Nov 4, 2004), contract award supplement #3 (dated Nov 26, 2004) and contract award supplement #4 (dated May 13, 2005). TerraPoint LLC of Woodlands Texas was subcontracted to create a Connecticut Statewide LIDAR dataset.
Language of dataset: en
Contact information for the individual or organization that is knowledgeable about the data.
Organization: Center for Land Use Education & Research (CLEAR)
Address type: mailing and physical address
University of Connecticut
College of Agriculture and Natural Resources
1066 Saybrook Road. PO Box 70
State or Province: Connecticut
Postal code: 06438-0070
How the data are represented, formatted and maintained by the data producing organization.
File or table name: depgis.DEP.ELEVATION_GROUND_2000
Data type: SDE raster digital data
Data format: SDE Raster Dataset
Native dataset environment: These data are maintained by the State of Connecticut using ArcGIS software developed by Environmental Systems Research Institute (ESRI) in a Microsoft Windows operating system environment.
Time period(s) for which the data corresponds to the currentness reference.
The state of and maintenance information for the data.
Data status: Complete
Update frequency: None planned
Words or phrases that summarize certain aspects of the data.
Keywords: elevation, environment, LiDAR
Keyword thesaurus: ISO 19115 Topic Category
Keywords: Connecticut, CT
Keyword thesaurus: U.S. Department of Commerce, 1987, Codes for the Identification of the States, the District of Columbia and the Outlying Areas of The United States, and Associated Areas (Federal Information Processing Standard 5-2): Washington, DC, National Institute of Standards and Technology.
Keywords: United States of America, USA
Keyword thesaurus: U.S. Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions (Federal Information Processing Standard (FIPS) 10-4): Washington, D.C., National Institute of Standards and Technology.
Restrictions and legal prerequisites for accessing or using the data after access is granted.
None. No restrictions or legal prerequisites for accessing the data. The data is in the public domain and may be redistributed.
None. No restrictions or legal prerequisites for using the data after access is granted. The data are derived through the spatial interpolation of airborne LiDAR collected in the year 2000. There is a known limitation in the LiDAR data collected for Connecticut. The LiDAR data is not complete and did not cover all of Connecticut. For unknown reasons, elevation information was not captured in some areas, resulting in data gaps in the underlying LiDAR point data. These data gaps are a know limitation in the 20-foot posting LiDAR data collected for Connecticut during the year 2000. In an effort to create a seamless statewide elevation dataset, the University of Connecticut, College of Agriculture and Natural Resources edited point elevation files to remove anomalous observations. Given the volume of data, there are likely errors present in the point data as well as in an interpolated surface.
Data Security Information
Handling restrictions imposed on the data because of national security, privacy or other concerns.
Security classifiction system: None
Security classification: None
Security handling: No restrictions for handling the data