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2011 U.S. Geological Survey Topographic LiDAR: Suwannee River Expansion
    fileIdentifier:  gov.noaa.csc.maps:fl2011_usgs_suwanneeriver_m2493
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  Mike Sutherland(author) (CI_ResponsibleParty)
        organisationName: (template)
        role:  (CI_RoleCode) author
    dateStamp:  2013-06-28
    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:  2011 U.S. Geological Survey Topographic LiDAR: Suwannee River Expansion
            date:  (CI_Date)
                date:  2013-06-01
                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: (template)
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  USGS Task Order No. G10PD00236 USGS Contract No. G10PC00093 The Light Detection and Ranging (LiDAR) dataset is a survey of the Suwannee River Expansion in north-central Florida. The entire survey area encompasses 950 square miles. The LiDAR point cloud was flown at a nominal post spacing of 1.0 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 13-ILMF 2010. The flight lines were acquired by Digital Aerial Solutions. This data set is divided into 4 Areas: A, B, C, and D. Area A: Portions of Dixie, Levy, and Gilchrist Counties Area B: Portions of Lafayette, Suwannee, and Madison Counties Area C: Suwannee County Area D: Bradford and Union Counties A map of each Area can be found in the Task Order Detail listed below. This data set is classified according to ASPRS LAS V1.2 standards. The classifications for this data set are as follows: Class 1: Unclassified Class 2: Ground Class 7: Noise Class 9: Water Class 10: Ignored Ground (Breakline Proximity) Class 12: Overlap (Witheld)
        purpose:  This regional LiDAR elevation mapping was obtained under the American Recovery and Reinvestment Act (ARRA) of 2009.
        credit:  United State Geological Survey
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            individualName:  Gail Dunn
            organisationName:  United States Geological Survey, National Geospatial Technical Operations Center (NGTOC)
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  573-308-3765
                address:  (CI_Address)
                    deliveryPoint:  1400 Independence Road
                    city:  Rolla
                    administrativeArea:  MO
                    postalCode:  65401
                    country:  U.S.
                    electronicMailAddress:  gdunn@usgs.gov
            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/fl/suwannee/fl2011_usgs_suwanneeriver_footprint.KMZ
            fileDescription:  This kmz file shows the extent of coverage for the 2011 USGS Suwannee River 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:  Florida
            keyword:  Hamilton County
            keyword:  Lafayette County
            keyword:  Suwannee County
            keyword:  Columbia County
            keyword:  Union County
            keyword:  Bradford County
            keyword:  Gilchrist County
            keyword:  Dixie County
            keyword:  Levy County
            keyword:  Madison County
            keyword:  Suwannee River
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date: (unknown)
        resourceConstraints:  Lidar Use Limitation
        resourceConstraints:  NOAA Legal Statement
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  Task Order Report
                date: (inapplicable)
                citedResponsibleParty:  (CI_ResponsibleParty)
                    positionName:  Citation URL
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage:  ftp://ftp.csc.noaa.gov/pub/crs/beachmap/qa_docs/fl/suwannee/fl2011_usgs_suwanneeriver_taskorder.pdf
                            name:  Task Order Report
                            description: (inapplicable)
                            function:  (CI_OnLineFunctionCode) information
                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; USA
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -83.277958
                eastBoundLongitude:  -82.113038
                southBoundLatitude:  29.502137
                northBoundLatitude:  30.558547
            temporalElement:  (EX_TemporalExtent)
                    beginPosition:  2011-03-17
                    endPosition:  2011-04-06
        supplementalInformation:  LiDAR points in LAS 1.2 format (ASPRS Classes 1,2,7,9,10,13)
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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:  There is not a systematic method of testing when testing horizontal accuracy in LiDAR. However this is tested during calibration of the sensor and is rechecked during the comparing of parallel and perpendicular flight lines.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  Lidar collected under this task order met the vertical accuracy requirement of NSSDA RMSEZ = 0.30 feet or 9.25 cm (NSSDA AccuracyZ 95% = 0.6 feet or 18.2 cm); utilizing assessment procedures to comply with ?FEMA Guidelines and Specifications for Flood Hazard Mapping Partners, Appendix A: Guidance for Aerial Mapping and Surveying?. Accuracy for the lidar point cloud data is reported independently from accuracies of derivative products (i.e., DEMs). Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from bare-earth lidar points. Each landcover type representing 10% or more of the total project area was tested and reported as a Supplemental Vertical Accuracy (SVA) in the project report. Each Project Area's Vertical Accuracy was reported seperately. The values for each are listed below: Area A: 0.1m (10cm) RMSEz Consolidated Vertical Accuracy Area B: 0.14m (14cm) RMSEz Fundamental Vertical Accuracy Area C: 0.12m (12cm) RMSEz Fundamental Vertical Accuracy Area D: 0.16m (16cm) RMSEz Fundamental Vertical Accuracy
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            measureDescription:  RMSEz FVA in meters, see above Report for detailed explanation
            result:  (DQ_QuantitativeResult)
                    identifier:  meters
                  Record:  0.16
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  The LiDAR data was acquired at a density sufficient to support a 1.0 meter post spacing. The bare-earth surface will contain voids in areas that were densely vegetated, covered by bridges, buildings, water, fresh asphalt, sand etc.
            result: (unknown)
        report:  (DQ_ConceptualConsistency)
            measureDescription:  Digital Aerial Solutions, used a Leica ALS60 serial number 137 sensor system to acquire LiDAR data at a density sufficient to support an 1.0 meter post spacing for unobscured areas. During acquisition the plane was never more than 40 kilometers from a base station. Digital Aerial Solutions acquired data at an altitude of 6500 feet (AGL). The distance between flight lines is 848 meters and each flight line has 30 percent overlap. The Suwannee River Expansion Survey was collected under the guidance of a Professional Mapper/Surveyor.
            result: (unknown)
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  The ABGPS, inertial measurement unit (IMU), and raw scans are collected during the LiDAR aerial survey. The ABGPS monitors the xyz position of the sensor and the IMU monitors the orientation. During the aerial survey, laser pulses reflected from features on the ground surface are detected by the receiver optics and collected by the data logger. GPS locations are based on data collected by receivers on the aircraft and base stations on the ground. The ground base stations are placed no more than 40 km radius from the flight survey area.
                  DateTime:  2011-03-17T00:00:00
            processStep:  (LE_ProcessStep)
                description:  The ABGPS, IMU, and raw scans are integrated using proprietary software developed by Leica and delivered with the Leica System. The resultant file is in a LAS binary file format. The LAS version 1.2 file format can be easily transferred from one file format to another. It is a binary file format that maintains information specific to the LiDAR data (return number, intensity value, xyz, etc.). The resultant points are produced in the NAD83/2007 HARN State Plane Florida North Coordinate System, with units in U.S. Feet and referenced to the NAVD88 datum. The LiDAR mass points were processed in American Society for Photogrammetry and Remote Sensing LAS 1.2 format. The header file for each dataset is complete as defined by the LAS 1.2 specification. The datasets were divided into a 5000 ft by 5000 ft tiling scheme, based on the Florida state grid network. The tiles are contiguous, do not overlap, and are suitable for seamless topographic data mosaics that include no "no data" areas. The names of the tiles include numeric column and row designations and all files utilize the LAS file extension
                  DateTime:  2011-05-04T00:00:00
            processStep:  (LE_ProcessStep)
                description:  The unedited data are classified to facilitate the application of the appropriate feature extraction filters. A combination of proprietary filters are applied as appropriate for the production of bare earth digital elevation models (DEMs). Interactive editing methods are applied to those areas where it is inappropriate or impossible to use the feature extraction filters, based upon the design criteria and/or limitations of the relevant filters. These same feature extraction filters are used to produce elevation height surfaces.
                  DateTime:  2011-05-04T00:00:00
            processStep:  (LE_ProcessStep)
                description:  Filtered and edited data are subjected to rigorous QA/QC, according to the 3001 Operating Unit Quality Control Plan and procedures. A series of quantitative and visual procedures are employed to validate the accuracy and consistency of the filtered and edited data. Ground control is established by Northrop Grumman, 3001 Operating Unit and GPS-derived ground control points (GCPs) in various areas of dominant and prescribed land cover. These points are coded according to land cover, surface material, and ground control suitability. A suitable number of points are selected for calculation of a statistically significant accuracy assessment, as per the requirements of the National Standard for Spatial Data Accuracy. A spatial proximity analysis is used to select edited LiDAR data points within a specified distance of the relevant GCPs. A search radius decision rule is applied with consideration of terrain complexity, cumulative error, and adequate sample size. Accuracy validation and evaluation is accomplished using proprietary software to apply relevant statistical routines for calculation of Root Mean Square Error (RMSE) and the National Standard for Spatial Data Accuracy (NSSDA), according to Federal Geographic Data Committee (FGDC) specifications.
                  DateTime:  2011-05-01T00:00:00
            processStep:  (LE_ProcessStep)
                description:  The NOAA Coastal Services Center (CSC) received topographic files in LAS 1.2 format. The files contained lidar elevation measurements. The data were received in Florida State Plane North Zone 0903, 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 were converted from a Projected Coordinate System (FL SP North) to a Geographic Coordinate system (NAD83). 3. The topographic las files' vertical units were converted from feet to meters. 4. The topographic las files' horizontal units were converted from feet to decimal degrees. 5. Class 11 (Witheld) was changed to Class 13. 6. The data were converted to LAZ format.
                  DateTime:  2013-06-01T00:00:00
                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:  2013-06-28T00:00:00
                processor:  Mike Sutherland (processor) (CI_ResponsibleParty)
                    organisationName: (template)
                    role:  (CI_RoleCode) processor
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) annually
        dateOfNextUpdate:  2014-06-28
        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 2013-06-28T16:15:21.36-06:00