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2012 Georgia Department of Natural Resources (GADNR) Topographic LiDAR: Pickens, Rockdale and Troup Counties
 (MI_Metadata)
    fileIdentifier:  gov.noaa.csc.maps:2012_gadnr_pickensRockdaleTroup_m1419
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  Mike Sutherland(author) (CI_ResponsibleParty)
        organisationName: (template)
        role:  (CI_RoleCode) author
    dateStamp:  2013-01-22
    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:  NAD83
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    referenceSystemInfo:  Ellipsoid
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2012 Georgia Department of Natural Resources (GADNR) Topographic LiDAR: Pickens, Rockdale and Troup Counties
            date:  (CI_Date)
                date:  2012-04-09
                dateType:  (CI_DateTypeCode) publication
            citedResponsibleParty:  NOAA CSC (originator)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  Georgia Department of Natural Resources (GADNR)
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  NOAA CSC (publisher) (CI_ResponsibleParty)
                organisationName: (template)
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  NOAA Contract: EA133C11CQ0009 NOAA Task Order Number: T0013 The PSFY12 GADNR Elevation Data Task Order involves: collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements for portions of 3 counties in Georgia. The Statement of Work (SOW) was developed by the National Oceanic and Atmospheric Administration's (NOAA) Coastal Services Center (referred to as the Center) in partnership with the Georgia Department of Natural Resources (GADNR) Environmental Protection Division (EPD). The counties included Pickens, Rockdale and Troup. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. LiDAR was collected at 1.0 points per square meter (1.0m GSD) for the portions of Pickens, Rockdale and Troup Counties. This area was flown during snow free and leaf-off conditions.
        purpose:  Lifts are planned to meet project specifications and are flown under cloud-free conditions in order to collect LIDAR points at an average of 1.0 meter point spacing. This allows the user to create Intensity Images, Break Lines, Hydro Flattened DEMs and fully Classified LiDAR LAS files.
        credit:  Photo Science, Inc. acquired and post-processed the LiDAR for Pickens, Rockdale and Troup counties.
        status:  (MD_ProgressCode) completed
        pointOfContact:  NOAA CSC (pointOfContact) (CI_ResponsibleParty)
            organisationName: (template)
            role:  (CI_RoleCode) pointOfContact
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        graphicOverview:  (MD_BrowseGraphic)
            fileName:  ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/ga/2012_gadnr_PS_lidar/2012_PS_Georgia_LiDAR_Footprints.kmz
            fileDescription:  This kmz file shows the extent of coverage for the 2012 Georgia DNR Pickens, Rockdale, Troup Counties lidar data set.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Topography/Bathymetry
            keyword:  Elevation
            keyword:  Model
            keyword:  LiDAR
            keyword:  LAS
            keyword:  Remote Sensing
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  none
                date: (unknown)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  US
            keyword:  Georgia
            keyword:  Pickens County
            keyword:  Rockdale County
            keyword:  Troup County
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date: (unknown)
        resourceConstraints:  Lidar Use Limitation
        resourceConstraints:  NOAA Legal Statement
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -85.215673
                eastBoundLongitude:  -83.908630
                southBoundLatitude:  32.854996
                northBoundLatitude:  34.576794
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    beginPosition:  2012-02-25
                    endPosition:  2012-04-09
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  LAZ
            version: (unknown)
        distributor:  (MD_Distributor)
            distributorContact:  NOAA CSC(distributor) (CI_ResponsibleParty)
                organisationName: (template)
                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:  The LiDAR data was compiled to meet a 1 meter horizontal accuracy. The calibration of the LiDAR sensor itself and the calibration process of the data produced by this sensor ensure that this accuracy is met.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            measureDescription:  Value stated in meters
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  1.0
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  The classified LiDAR data was tested by Photo Science, Inc. for vertical accuracy. Photo Science collected a total of 33 ground control points for use in verifying the vertical accuracy of the classified LiDAR data in Pickens, Rockdale and Troup Counties. These points were tested against the classified LiDAR data and a vertical adjustment was made to the classified LiDAR for each county in order to obtain a higher level of accuracy. All data are seamless from one tile to the next, no gaps or no data areas. The vertical unit of the data file is in survey feet with 2-decimal point precision.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            measureDescription:  RMSE in meters of classified LiDAR
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  0.0381
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  Datasets contain complete coverage of tiles.
            result: (unknown)
        report:  (DQ_ConceptualConsistency)
            measureDescription:  Deliverables were tested by Photo Science, Inc. vertical accuracy. All data are seamless from one tile to the next, no gaps or no data areas.
            result: (unknown)
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Applanix software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech'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 Optech or 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. Class 2 LIDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers. Inland Ponds and Lakes of 2 acres or greater were also collected. Elevation values were assigned to all Inland Ponds and Lakes using TerraModeler functionality. Elevation values were assigned to all Inland Streams and Rivers using Photo Science proprietary software. All Class 2 LIDAR data falling inside of the collected breaklines were then classified to Class 9 and Class 2 LIDAR data falling within a proximity of three feet will be classified to Class 10 using TerraScan macro functionality. The breakline files were translated to ESRI Shapefile format using ESRI conversion tools. Data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue functionality was used to ensure correct LAS Version. In house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. Tiles were run through automated scripting within ArcMap and were combined with the Hydro Flattened Breaklines to create the 4' DEM. Final DEM tiles were clipped to the tile boundary in order to provide a seamless dataset. A manual QA review of the tiles was completed in ArcMap and Global Mapper to ensure full coverage with no gaps or slivers within the project area.
                dateTime:
                  DateTime:  2012-01-01T00:00:00
            processStep:  (LE_ProcessStep)
                description:  The NOAA Coastal Services Center (CSC) received topographic files in LAS format. The files contained lidar elevation and intensity measurements. The data were received in Georgia State Plane West 1002 (NAD83) coordinates and were vertically referenced to NAVD88 using the Geoid09 model. The vertical units of the data were feet. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09. 2. The topographic las files' vertical units were converted from survey feet to meters. 3. The topographic las files were converted from a Projected Coordinate System (GA SPW 1002) to a Geographic Coordinate system (GCS). 4. The topographic las files' horizontal units were converted from survey feet to decimal degrees. 5. The data were converted to LAZ format.
                dateTime:
                  DateTime:  2012-12-01T00:00:00
                processor:  NOAA CSC (processor) (CI_ResponsibleParty)
                    organisationName: (template)
                    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:  2013-01-22T00:00:00
                processor:  Mike Sutherland (processor) (CI_ResponsibleParty)
                    organisationName: (template)
                    role:  (CI_RoleCode) processor
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) annually
        dateOfNextUpdate:  2014-01-22
        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 2013-01-22T13:19:16.274-07:00