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2009 USGS New Jersey Lidar: Mercer County

spatialRepresentationInfo
referenceSystemInfo
referenceSystemInfo
identificationInfo
distributionInfo
dataQualityInfo
metadataMaintenance

 (MI_Metadata)
    fileIdentifier:  gov.noaa.csc.maps:2009_NJ_Mercer_m546
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  Mike Sutherland(author) (CI_ResponsibleParty)
        organisationName:
        role:  (CI_RoleCode) author
    dateStamp:  2013-06-04
    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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    spatialRepresentationInfo:  (MD_VectorSpatialRepresentation)
        geometricObjects:  (MD_GeometricObjects)
            geometricObjectType:  (MD_GeometricObjectTypeCode) point
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    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            authority:  (CI_Citation)
                title:  North American Datum 1983
                alternateTitle:  NAD83
                date:  (CI_Date)
                    date:  2007-01-19
                    dateType:  (CI_DateTypeCode) revision
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: http://www.epsg-registry.org/export.htm?gml=urn:ogc:def:crs:EPSG::4269
                            name:  NAD83
                            description:  Link to Geographic Markup Language (GML) description of reference system.
                            function:  (CI_OnLineFunctionCode) information
                    role:  (CI_RoleCode) resourceProvider
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  European Petroleum Survey Group
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: http://www.epsg-registry.org/
                            name:  European Petroleum Survey Group Geodetic Parameter Registry
                            description:  Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations.
                            function:  (CI_OnLineFunctionCode) search
                    role:  (CI_RoleCode) publisher
            code:  urn:ogc:def:crs:EPSG::4269
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    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            code:  Ellipsoid in Meters
            codeSpace:  Local Vertical Reference
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2009 USGS New Jersey Lidar: Mercer County
            date:  (CI_Date)
                date:
                dateType:  (CI_DateTypeCode) publication
            citedResponsibleParty:  NOAA CSC (originator)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  DOI/USGS > United States Geological Survey, U.S. Department of the Interior
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  NOAA CSC (publisher) (CI_ResponsibleParty)
                organisationName:
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  High accuracy LiDAR data covering Mercer County New Jersey (228 sq miles). These datasets will be the initial acquisition to support general geospatial needs of the USGS and the New Jersey Department of Environmental Protection (NJ-DEP).
        purpose:  The purpose of the Mercer County Lidar project is to provide LiDAR data for New Jersey Department of Environmental Protection (NJ-DEP). This project acquired and produced high accuracy bare-earth processed LiDAR data in LAS format and 1.0-meter Digital Elevation Models (DEMs) in ArcGrid format for approximately 228 square miles of Mercer County.
        credit:  Acknowledgment of the U.S. Geological Survey would be appreciated for products derived from these data.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            individualName:  Roger Barlow
            organisationName:  U.S. Geological Survey
            positionName:  USGS Geospatial Liason for DC, DE, MD, NJ, and Chesapeake Bay
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  703-648-5189
                address:  (CI_Address)
                    deliveryPoint:  12201 Sunrise Valley Dr.
                    city:  Reston
                    administrativeArea:  VA
                    postalCode:  20192
                    country:  USA
                    electronicMailAddress:  rbarlow@usgs.gov
            role:  (CI_RoleCode) pointOfContact
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) notPlanned
        graphicOverview:  (MD_BrowseGraphic)
            fileName:  ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/nj/2009_USGS_NJ_Lidar_Mercer_County.kmz
            fileDescription:  This kmz file shows the extent of coverage for the 2009 USGS Mercer County, NJ lidar data set.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  DEM
            keyword:  LiDAR
            keyword:  laser
            keyword:  digital elevation model
            keyword:  elevation
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        descriptiveKeywords:  (MD_Keywords)
            keyword:  US
            keyword:  New Jersey
            keyword:  Mercer County
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        resourceConstraints:  Lidar Use Limitation
        resourceConstraints:  NOAA Legal Statement
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  Lidar Survey Report
                date:
                citedResponsibleParty:  (CI_ResponsibleParty)
                    positionName:  Citation URL
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage:  ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/nj/lidarqaqcreport_mercer_final.pdf
                            name:  Lidar Survey Report
                            description:
                            function:  (CI_OnLineFunctionCode) information
                    role:
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -74.956084
                eastBoundLongitude:  -74.471774
                southBoundLatitude:  40.126421
                northBoundLatitude:  40.425498
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    beginPosition:  2009-03-31
                    endPosition:  2009-04-25
        supplementalInformation:  - Technical Acquisition Parameters: Utilizing Leica ALS50 II laser systems which can collect data at laser pulse rates up to 150 KHz, Photo Science flew the project area at 7,000 feet AGL and utilized a 19 degree full-angle field of view. Flights were accomplished nominally at 98 knots (ground speed) with a pulse rate of 113,600Hz, collecting four returns per pulse. The scan rate was be set at 50.4Hz. These settings resulted in a swath of 2,343 feet with maximum along track and cross track spacing of 3.28 feet (1.0 meters). - Environmental Acquisition Conditions: Leaf-Off, snow free, non-flood conditions. - Nominal Pulse density: Average point density is 3.15 points per sq. Meter Average point spacing is 0.56 meters. - Calibration procedures: Photo Science has created a significant boresight facility at the Frankfort, KY airport where the Lidar platforms are stationed when not in service. Boresighting at this facility takes place with our Lidar sensors at numerous times throughout the year. Additionally, a mini-calibration site was established at the Robbinsville Airport at the project site. Additional calibration flights were conducted over this site to ensure accurate determination of the calibration parameters throughout the times of acquisition. - GPS: Acquisition for this project was completed using the base station from the NGS database selected near the center of the acquisition area to serve as control for all lifts. A ground based GPS receiver was occupied at the station during all aerial collection. The published NGS positions of the base station and raw GPS observation data were used in the kinematic GPS post-processing of all lifts to provide positioning for the point clouds produced for this project. - Maximum and mean differential baseline lengths: Nominal Maximum base line distance was approximately 20 Miles Mean base line distance was approximately 11 Miles - Geoid Model Used: Geoid 03 was used for all height conversion from ellipsoidal to orthometric heights. - Reference System: Horizontal: New Jersey State Plane Coordinate System, 1983 North American Datum, feet Vertical: North American Vertical Datum of 1988 (NAVD88), feet.
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  LAZ
            version:
        distributor:  (MD_Distributor)
            distributorContact:  NOAA CSC(distributor) (CI_ResponsibleParty)
                organisationName:
                role:  (CI_RoleCode) distributor
            distributionOrderProcess:  (MD_StandardOrderProcess)
                orderingInstructions:  The National Geophysical Data Center serves as the archive for this LIDAR data. NGDC should only be contacted for this data if it cannot be obtained from NOAA Coastal Services Center.
        distributor:  (MD_Distributor)
            distributorContact:  Mike Sutherland
            distributionOrderProcess:  (MD_StandardOrderProcess)
                orderingInstructions:  The National Geophysical Data Center serves as the archive for this LIDAR dataset. NGDC should only be contacted for the data if it cannot be obtained from NOAA Coastal Services Center.
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy Report
            evaluationMethodDescription:  Compiled to meet 1m horizontal accuracy
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  Using NSSDA standards, this LiDAR dataset will have a fundamental vertical accuracy of 35.32 cm at 95% confidence level, based on RMSE of 18 cm in the open terrain land cover category.
            result:
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  Data completeness and integrity was verified.
            result:
        report:  (DQ_ConceptualConsistency)
            measureDescription:  All LAS formatted LiDAR data are validated to ensure that data on delivery media is in correct physical format and is readable and correctly georeferenced and projected. Note that LiDAR intensity is not calibrated or normalized.
            result:
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Leica software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning of the sensor during all flights. This software suite includes Applanix's PosPac and Waypoint's GrafNav solutions. PosPac provides the smoothed best estimate of trajectory (SBET) that is necessary for Leica's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above ground features are removed from the data set. The point cloud was manipulated within the Leica software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. The project was tiled adhering to the State of New Jersey 5000'x5000' tile schema and each tile was saved in LAS format 1.1 including GPS time. The data was classified as follows: Class 1 - Unclassified/Extracted Features; Class 2 - Bare Earth Ground; Class 9 - water; Class 12 - overlap.
                dateTime:
                  DateTime:  2009-06-01T00:00:00
            processStep:  (LE_ProcessStep)
                description:  A Terrascan macro was used to classify the Lidar points inside rivers and lakes from class 2 to class 9. This classification was visually inspected by comparing the bare earth class against the hydro breaklines.
                dateTime:
                  DateTime:  2009-06-01T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Photo Science
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  859.277.8700
                        address:  (CI_Address)
                            deliveryPoint:  2670 Wilhite Drive
                            city:  Lexington
                            administrativeArea:  KY
                            postalCode:  40503
                            country:  USA
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The NOAA Coastal Services Center (CSC) received the files in las format. The files contained Lidar elevation and intensity measurements. The data were in projected in New Jersey State Plane (NAD83) coordinates, and referenced to the orthometric datum of NAVD88 utilizing Geoid 03. CSC performed the following processing to the data to make it available within the Digital Coast: 1. The data were converted from New Jersey State Plane ned(NAD83) coordinates to geographic coordinates (NAD83). 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid 03. 3. The LAS data were sorted by latitude and the headers were updated.
                dateTime:
                  DateTime:  2010-09-22T00:00:00
                processor:  NOAA CSC (processor) (CI_ResponsibleParty)
                    organisationName:
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  The NOAA National Geophysical Data Center (NGDC) received lidar data files via ftp transfer from the NOAA Coastal Services Center. The data are currently being served via NOAA CSC Digital Coast at http://www.csc.noaa.gov/digitalcoast/. The data can be used to re-populate the system. The data are archived in LAS or LAZ format. The LAS format is an industry standard for LiDAR data developed by the American Society of Photogrammetry and Remote Sensing (ASPRS); LAZ is a loseless compressed version of LAS developed by Martin Isenburg (http://www.laszip.org/). The data are exclusively in geographic coordinates (either NAD83 or ITRF94). The data are referenced vertically to the ellipsoid (either GRS80 or ITRF94), allowing for the ability to apply the most up to date geoid model when transforming to orthometric heights.
                dateTime:
                  DateTime:  2011-07-15T00:00:00
                processor:  (CI_ResponsibleParty)
                    individualName:  Pamela Grothe
                    organisationName:  DOC/NOAA/NESDIS/NGDC > National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
                    contactInfo:  (CI_Contact)
                        contactInstructions:  Contact Data Center
                    role:  (CI_RoleCode) processor
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) annually
        dateOfNextUpdate:  2014-06-04
        maintenanceNote:  This metadata was automatically generated from the FGDC Content Standards for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2013-01-04 version of the FGDC RSE to ISO 19115-2 for LiDAR transform.
        maintenanceNote:  Translated from FGDC 2013-06-04T13:00:12.385-06:00
        maintenanceNote:  Last Metadata Review Date: 2011-11-19