identificationInfo
contentInfo
distributionInfo
dataQualityInfo

Connecticut Statewide Lidar DEM 2016
 (MI_Metadata)
    fileIdentifier:  gov.noaa.nmfs.inport:49408
    language:
      LanguageCode:  eng
    characterSet:  (MD_CharacterSetCode) UTF8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  (CI_ResponsibleParty)
        organisationName:  OCM Partners
        contactInfo:  (CI_Contact)
            phone:  (CI_Telephone)
                voice: (missing)
            address:  (CI_Address)
        role:  (CI_RoleCode) resourceProvider
    contact:  (CI_ResponsibleParty)
        organisationName:  NOAA Office for Coastal Management
        contactInfo:  (CI_Contact)
            phone:  (CI_Telephone)
                voice:  (843) 740-1202
            address:  (CI_Address)
                deliveryPoint:  2234 South Hobson Ave
                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
                country: (missing)
                electronicMailAddress:  coastal.info@noaa.gov
            onlineResource:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov
                protocol:  WWW:LINK-1.0-http--link
                name:  NOAA Office for Coastal Management Website
                description:  NOAA Office for Coastal Management Home Page
                function:  (CI_OnLineFunctionCode) information
        role:  (CI_RoleCode) pointOfContact
    dateStamp:
      DateTime:  2021-02-17T18:53:10
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
    metadataStandardVersion:  ISO 19115-2:2009(E)
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  Connecticut Statewide Lidar DEM 2016
            alternateTitle:  2016_CT_DEM_m8396_metadata
            date:  (CI_Date)
                date:  2017-10-20
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 49408
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://www.fisheries.noaa.gov/inport/item/49408
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Full Metadata Record
                        description:  View the complete metadata record on InPort for more information about this dataset.
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                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov/dataviewer
                        protocol:  WWW:LINK-1.0-http--link
                        name:   Citation URL
                        description:  Online Resource
                        function:  (CI_OnLineFunctionCode) download
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                        linkage: http://crcog.org
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                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
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                        description:  Online Resource
                        function:  (CI_OnLineFunctionCode) download
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            presentationForm: (unknown)
        abstract:  This metadata record describes the hydro-flattened bare earth digital elevation model (DEM) derived from the classified LiDAR data for the 2016 Connecticut Lidar project covering approximately 5,240 square miles. Original contact information: Contact Org: NOAA Office for Coastal Management Phone: 843-740-1202 Email: coastal.info@noaa.gov
        purpose:  To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS data products are suitable for 1 foot contour generation. USGS Lidar Base Specification 1.2, QL2. 19.6 cm NVA.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
                onlineResource:  (CI_OnlineResource)
                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
                    name:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) pointOfContact
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  (843) 740-1202
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
                onlineResource:  (CI_OnlineResource)
                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
                    name:  NOAA Office for Coastal Management Website
                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) unknown
        descriptiveKeywords:  (MD_Keywords)
            keyword:  ALS70
            keyword:  Bare Earth
            keyword:  Contour
            keyword:  Digital Elevation Model (DEM)
            keyword:  Digital Terrain Model (DTM)
            keyword:  First Return
            keyword:  Grid
            keyword:  ground points
            keyword:  IMG
            keyword:  Intensity return
            keyword:  LAS
            keyword:  LiDAR
            keyword:  LMS-Q680i
            keyword:  mapping
            keyword:  Overlap points
            keyword:  point cloud
            keyword:  Unclassified points
            keyword:  Water points
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  CT
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Science > Land Surface > Topography > Terrain Elevation > Topographical Relief Maps
            keyword:  Earth Science > Oceans > Coastal Processes > Coastal Elevation
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Connecticut
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Connecticut
            keyword:  United States
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  CT
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  2016
            type:  (MD_KeywordTypeCode) temporal
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DEMs - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: OCM Partners, [Date of Access]: Connecticut Statewide Lidar DEM 2016 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/49408.
        resourceConstraints:  (MD_Constraints)
            useLimitation:  NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
        resourceConstraints:  (MD_LegalConstraints)
            accessConstraints:  (MD_RestrictionCode) otherRestrictions
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: This data may be used by the requesting party at their own risk and may be re-distributed. | Use Constraints: This data is for planning purposes only and should not be used for legal or cadastral purposes. Any conclusions drawn from analysis of this information are the responsibility of the user. Users should be aware that temporal changes may have occurred since this dataset was collected and some parts of this dataset may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. | Distribution Liability: The Capitol Region Council of Governments digital data have been tested and their documentation carefully reviewed. However, the Capitol Region Council of Governments and its representatives make no warranty or representation, either expressed or implied, with respect to the digital data and their documentation, their quality, performance, merchantability, or fitness for a particular purpose. The digital data are distributed on "as is" basis, and the user assumes all risk to their quality, the results obtained from their use, and the performance of the data. In no event will the Capitol Region Council of Governments or its representatives be liable for any direct, indirect, special, incidental or consequential damages resulting from and defect in the State of Connecticut or in their documentation. This disclaimer of warranty is exclusive and in lieu of all others, oral or written, express or implied. No agent or employee is authorized to make any modification, extension, or addition to this warranty. Any conclusions drawn from the analysis of this information are not the responsibility of the Capitol Region Council of Governments, the Office for Coastal Management or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Data Management Plan (DMP)
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  49408
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/49408.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
                            function:  (CI_OnLineFunctionCode) information
                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) grid
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        topicCategory:  (MD_TopicCategoryCode) oceans
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -73.745809
                eastBoundLongitude:  -71.782632
                southBoundLatitude:  40.971166
                northBoundLatitude:  42.063615
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2016-03-11
                    endPosition:  2016-04-16
        supplementalInformation:  Project Projection, Datums and Units: Projection - State Plane Connecticut; Horizontal datum - North American Datum of 1983 (NAD83 (2011)); Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12b) for converting ellipsoidal heights to orthometric heights; Units - US feet horizontal, meters vertical. This data was ingested into the Digital Coast Data Access Viewer for custom processing. If you requested this data through that system, your projection may be different and will be reflected below. A data report is available at ftp://coast.noaa.gov/htdata/lidar2_z/geoid12b/data/8392/supplemental/Final_LiDAR_Report_CRCOG_2016.pdf
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    contentInfo:  (MD_FeatureCatalogueDescription)
        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  USGS Base Specification 1.2, QL2 meeting 19.6 cm NVA
            date: (unavailable)
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  Zip
            version: (missing)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  (843) 740-1202
                    address:  (CI_Address)
                        deliveryPoint:  2234 South Hobson Ave
                        city:  Charleston
                        administrativeArea:  SC
                        postalCode:  29405-2413
                        country: (missing)
                        electronicMailAddress:  coastal.info@noaa.gov
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA Office for Coastal Management Website
                        description:  NOAA Office for Coastal Management Home Page
                        function:  (CI_OnLineFunctionCode) information
                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8396
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/htdata/raster2/elevation/CT_statewide_DEM_2016_8396
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Simple download of data files.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_QuantitativeAttributeAccuracy)
            nameOfMeasure:  Accuracy
            evaluationMethodDescription:  State of Connecticut: The LiDAR surface was evaluated using a collection of 181 GPS surveyed checkpoints for the raw NVA report. The DEM was compared to these checkpoints yielding a better result than was required for the project. Raw NVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a thorough quality control process. --------- Report Summary --------- Average dz 0.004 Minimum dz -0.829 Maximum dz 0.622 Average magnitude 0.170 Root mean square 0.227 Std deviation 0.228 ---------------------------------------------------------------------------------------- Attribute accuracy is tested after the LiDAR processing stage. After classification of the LiDAR data, DEMs are created using the bare earth points. The NVA report is generated from the comparison of the DEM and the ground control collected within the project area. The DEM surface was evaluated using a collection of 181 GPS surveyed checkpoints for the NVA report. The DEM was compared to these checkpoints yielding much better result than was required for the project. NVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a thorough quality control process. --------- Report Summary --------- Average dz 0.004 Minimum dz -0.778 Maximum dz 0.576 Average magnitude 0.158 Root mean square 0.207 Std deviation 0.207 ---------------------------------------------------------------------------------------- Attribute accuracy is tested after the LiDAR processing stage. After classification of the LiDAR data, DEMs are created using the bare earth points. The VVA report is generated from the comparison of the DEM and the ground control collected within the project area. The DEM was evaluated using a collection of 95 GPS surveyed checkpoints. The DEM was compared to these checkpoints yielding much better result than was required for the project. VVA Control Accuracy Report (feet) --------- Report Disclaimer --------- This report does not guarantee accuracy. The report only reflects one statistical representation of the control points, LIDAR data and surface used. This report does not replace a thorough quality control process. --------- Report Summary --------- Average dz 0.147 Minimum dz -0.771 Maximum dz 0.625 Average magnitude 0.212 Root mean square 0.261 Std deviation 0.217 ---------------------------------------------------------------------------------------- | Quantitative Value: 0 | Quantitative Test Explanation: N/A
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Horizontal positional accuracy for the Connecticut LiDAR is dependent upon the quality of the GPS/INS solution, sensor calibration and ground conditions at the time of data capture. The data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 1.0 meter RMSEx/RMSEy.; Quantitative Value: 1.0 meters, Test that produced the value: For the Connecticut, this value is computed by comparing ground control to a DEM derived from the classified LiDAR data and represents the RMSE of residuals on controls within the project area.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  For the DEM data derived from the classified point cloud, the NVA and VVA were computed. The vertical accuracy was tested with independent survey check points located in various terrain types within Connecticut. These check points were not used in the calibration or post processing of the lidar point cloud data. The survey check points were distributed throughout the block area. Specifications for this project require that the VVA be 19.6 cm or better @ 95 percent confidence level.; Quantitative Value: 0.070 meters, Test that produced the value: Value is RMSE in meters. The raw NVA was tested using 181 independent survey check points located in flat terrain types within the state of Connecticut The survey checkpoints were distributed throughout the block area. The 181 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 7cm, equating to +/- 13.8cm at 95% confidence level.; Quantitative Value: 0.063 meters, Test that produced the value: Value is RMSE in meters. The NVA was tested using 181 independent survey check points located in bare earth terrain types within the state of Connecticut. The 181 independent check points contained all NVA points and were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 6.3cm, equating to +/- 12.5cm at 95% confidence level.; Quantitative Value: 0.080 meters, Test that produced the value: Value is RMSE in meters. The VVA was tested using 95 independent survey check points located in various vegetation terrain types within the state of Connecticut. The 95 independent check points were surveyed using static GPS base stations collecting point location for 20 minute intervals. Elevations were measured for the x,y,z location of each check point. Elevations interpolated from the DEM surface were then compared to the elevation values of the surveyed control. This data set was tested to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class. Actual NVA accuracy was found to be RMSEz = 6.3cm, equating to +/- 12.5cm at 95% confidence level. Actual VVA accuracy was found to be +/- 17cm at the 95th percentile.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  LiDAR data is collected for the project area. Post processing of the simultaneously acquired GPS/INS is performed and applied to the laser returns to output a point cloud in the specified project coordinate system and datums. The point cloud data is then subjected to automated classification routines to assign all points in the point cloud to ground, water, overlap and unclassified point classes. Anomalous laser returns that occur infrequently are removed entirely from the data set. Once clean bare earth points are established, DEMs are created using bare earth points and hydro features. The DEM surface is then compared to the survey checkpoints. These accuracies must pass the NVA and VVA accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  LiDAR data is collected within the project area and processed. After the DEMs were created, the dataset was verified against control. Well-distributed control was collected for the entire state of Connecticut. Accuracy is reported for the state as a whole.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  At selected locations throughout the site, accurate GPS coordinates and elevations are surveyed and the points are marked with targets. | Source Produced: Ground control
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  New LiDAR data is captured for the project area using a Leica ALS70 LiDAR instrument an integrated IPAS20 GPS/INS system mounted within a Aero Commander twin engine airplane.
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The airborne GPS data is post-processed in Inertial Explorer software and LEICA CloudPro software to determine the LiDAR sensor's angle and orientation in the terrain (project) coordinate system and datums during the survey.
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The post processed GPS/INS solution is applied to the raw lidar data to orient and project the data points into the project area reference system as an unclassified point cloud. | Source Produced: Classified lidar
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The georeferenced lidar data is then classified and edited in Terrasolid Terrascan software. Data is classified to produce: Class 1: unclassified, Class 2: ground, Class 7: low point, Class 9: water, Class 10: ignored ground, Class 17: bridge deck, Class 18: high noise. | Source Produced: Classified lidar
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The classified lidar data is exported as 2500 X 2500 foot tiles in the LAS format with any or all classes required to produce derivative products. | Source Produced: Classified lidar
                dateTime:
                  DateTime:  2016-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received the digital elevation model (DEM) files in a proprietary ESRI format. The files were extracted using GDAL to create GeoTiff files. It was found that ArcGIS could not properly read GeoTiff files with EPSG georeferencing for NAD83(2011) Connecticut State Plane. The files were translated to Imagine files using gdal_translate -a_srs EPSG:6434+5703 and at the same time converted to vertical meters. The vertical meters were a requirement for DEM ingestion into the Digital Coast Data Access Viewer. The data use the Geoid12b model.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  (843) 740-1202
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor
            processStep:  (LI_ProcessStep)
                description:  The DEMs were converted to vertical feet after the Data Access Viewer was modified to handle feet. The vertical meter imagine format data were moved to a subdirectory vert_meters. The files were converted to Tiffs using gdal_translate and spatial referencing specified with -a_srs EPSG:6434+6360. There is a known ArcGIS bug reading that georeferencing correctly.
                dateTime:
                  DateTime:  2021-02-17T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  (843) 740-1202
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: The classified lidar point cloud is used to derive various data products such as, but not limited to, bare earth gridded DEM, triangulated irregular networks (TIN), contours, digital surface models (DSM). The output format is fully compliant LAS v1.4, Point Record Format 6 | Source Geospatial Form: Point digital data | Type of Source Media: disk
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Classified lidar
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: Targeted ground control is used to create a digital control file and control report as well as QC check of LiDAR accuracy. Predefined points (NGS when available) within the project area are targeted. | Source Geospatial Form: tabular digital data | Type of Source Media: disc
                sourceCitation:  (CI_Citation)
                    title:  Ground control
                    date:  (CI_Date)
                        date:  2010-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: Aerial LiDAR and GPS/IMU data are recorded for the defined project area at an altitude, flight speed, scanner swath width and scanner pulse frequency to achieve the design goals of the project. | Source Geospatial Form: Remote sensing image | Type of Source Media: disc
                sourceCitation:  (CI_Citation)
                    title:  LiDAR Data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: Post processed GPS/INS is applied to the lidar point data to georeference each point in the project coordinate system | Source Geospatial Form: Tabular digital data | Type of Source Media: disk
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Post processed GPS/INS
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: The post processed lidar data has been projected and oriented in the specified coordinate system as an un-classified point cloud. | Source Geospatial Form: Point digital data | Type of Source Media: Disk
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Post processed lidar
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Sanborn Map Company Inc.
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: The tile definition defines discreet non-overlapping rectangular areas used as cut lines to break up the large classified lidar dataset into smaller, more manageable data tiles. Each tile is 2500ft by 2500ft in dimension. | Source Geospatial Form: raster digital data | Type of Source Media: disk
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  1200
                sourceCitation:  (CI_Citation)
                    title:  Tile Definition
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  State of Connecticut
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016