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2011 Delaware Department of Natural Resources and Environmental Control (DNREC) Lidar: Bombay Hook National Wildlife Refuge

spatialRepresentationInfo
referenceSystemInfo
referenceSystemInfo
identificationInfo
distributionInfo
dataQualityInfo
metadataMaintenance

 (MI_Metadata)
    fileIdentifier:  gov.noaa.csc.maps:2011_DNREC_BombayHook_m1172
    language:  eng; USA
    characterSet:  (MD_CharacterSetCode) utf8
    hierarchyLevel:  (MD_ScopeCode) dataset
    contact:  Mike Sutherland(author) (CI_ResponsibleParty)
        organisationName:
        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:  (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:  2011 Delaware Department of Natural Resources and Environmental Control (DNREC) Lidar: Bombay Hook National Wildlife Refuge
            date:  (CI_Date)
                date:  2012-04-01
                dateType:  (CI_DateTypeCode) publication
            citedResponsibleParty:  NOAA CSC (originator)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName:  Delaware Department of Natural Resources and Environmental Control
                role:  (CI_RoleCode) originator
            citedResponsibleParty:  NOAA CSC (publisher) (CI_ResponsibleParty)
                organisationName:
                role:  (CI_RoleCode) publisher
            presentationForm:  (CI_PresentationFormCode) imageDigital
        abstract:  Terrapoint collected LiDAR for over 177 square kilometers of the Bombay Hook National Wildlife Refuge in Kent County, Delaware. The nominal pulse spacing for this project was no greater than 0.75 meters. This project was collected with a sensor which collects waveform data and provides an intensity value for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to project specifications: 1-Unclassified, 2-Ground, 7-Noise, 9-Water, 12-Overlap. Once the data was received by NOAA CSC, all of the class 7 (noise) points were removed from the data set. Dewberry produced classified LAS and DEMs for the 99 tiles (1700 m x 1700 m) that cover the project area.
        purpose:  The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format and 1 m cell size Digital Elevation Models (DEMs) for use in coastal management. The LiDAR are processed to the specifications outlined by NOAA CSC in partnership with the Delaware Department of Natural Resources and Environmental Control (DNREC).
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Coastal Services Center
            contactInfo:  (CI_Contact)
                phone:  (CI_Telephone)
                    voice:  843-740-1200
                address:  (CI_Address)
                    deliveryPoint:  2234 South Hobson Ave.
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country:  US
                    electronicMailAddress:  csc.info@noaa.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/de/bombay_hook/2011_DNREC_Bombay_Hook_National_Wildlife_Refuge_Lidar.kmz
            fileDescription:  This kmz file shows the extent of coverage for the 2011 DNREC Bombay Hook NWR lidar data set.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  DTM
            keyword:  Elevation
            keyword:  Lidar
            keyword:  LAS
            keyword:  DEM
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        descriptiveKeywords:  (MD_Keywords)
            keyword:  United States
            keyword:  Delaware
            keyword:  Bombay Hook National Wildlife Refuge
            keyword:  Kent County
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  None
                date:
        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:  -75.530873
                eastBoundLongitude:  -75.389419
                southBoundLatitude:  39.046286
                northBoundLatitude:  39.309361
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    beginPosition:  2011-04-18
                    endPosition:  2011-04-20
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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:  Lidar source compiled to meet 1 meter horizontal accuracy.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            measureDescription:  Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1 m horizontal accuracy standard at the 95% confidence level.
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  1
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy Report
            evaluationMethodDescription:  The vertical accuracy of the LiDAR was tested by Dewberry with 8 independent survey checkpoints. The survey checkpoints were evenly distributed throughout the project area. All 8 checkpoints were used to compute the Fundamental Vertical Accuracy (FVA). Project specifications required a FVA of 18 cm (0.18 m) based on an RMSEz (9 cm/ 0.09 m) x 1.9600. All checkpoints were also used to compute the Consolidated Vertical Accuracy (CVA). Project specifications required a CVA of 18 cm (0.18 m) based on the 95th percentile.
            result:
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            measureDescription:  RMSE is 7 cm. Based on the vertical accuracy testing conducted by Dewberry, using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for the Bombay Hook project satisfies the criteria: Lidar dataset tested 0.14 m vertical accuracy at 95% confidence level, based on RMSEz (0.07 m) x 1.9600. Based on the vertical accuracy testing conducted by Dewberry, using NDEP and ASPRS methodology, consolidated vertical accuracy at the 95% confidence level is computed using the 95th percentile method. The dataset for the Bombay Hook project satisfies the criteria: Lidar dataset tested 0.11 m vertical accuracy at 95% confidence level in all land cover categories combined.
            result:  (DQ_QuantitativeResult)
                valueUnit:
                  BaseUnit:
                    identifier:  meters
                    unitsSystem:
                value:
                  Record:  0.07
        report:  (DQ_CompletenessCommission)
            evaluationMethodDescription:  A visual qualitative assessment was performed to ensure data completeness and compliance with project specifications. No void or missing data exists. Multiple tiles were added to the tile grid to fully cover the project boundary. While the boundary intersects two of these tiles (582a and 601a), this area is water and there are no LiDAR points in these tiles. The bare earth surface passes vertical accuracy specifications.
            result:
        report:  (DQ_ConceptualConsistency)
            measureDescription:  Data covers the tile scheme provided for the project area.
            result:
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Terrapoint used their Optech ALTM 3100EA LiDAR sensor to collect the data for the Bombay Hook project. Three flight missions were required to obtain data over the entire project area. Flightlines were flown in a North-South orientation to optimize flying time in regards to the project layout. A combination of Sokkia GSR 2600 and NovAtel DL-4+ dual-frequency GPS receivers were used to support the airborne operations of this survey and to establish the GPS control network. Terrapoint used three existing published survey monuments and one newly established control station to control all flight missions and kinematic and static ground surveys. Airborne GPS kinematic data was processed on-site using GrafNav kinematic On-The-Fly (OTF) software. Flights were flown with a minimum of 6 satellites in view (13 degrees above the horizon) and with a PDOP of better than 4. Distances from base station to aircraft were kept to a maximum of 40 km. For all flights, the GPS data can be classified as excellent, with GPS residuals of 3 cm average or better but no larger than 10 cm being recorded. The initial step of calibration is to verify availability and status of all needed GPS and Laser data against field notes and compile any data if not complete. Subsequently the mission points are output using Optech's Dashmap, initially with default values from Optech or the last mission calibrated for system. The initial point generation for each mission calibration is verified within Microstation/Terrascan for calibration errors. If a calibration error greater than specification is observed within the mission, the roll pitch and scanner scale corrections that need to be applied are calculated. The missions with the new calibration values are regenerated and validated internally once again to ensure quality. All missions are validated against the adjoining missions for relative vertical biases and collected GPS kinematic validation points for absolute vertical accuracy purposes. On a project level, a supplementary coverage check is carried out, to ensure no data voids unreported by Field Operations are present.
                dateTime:
                  DateTime:  2011-04-01T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Terrapoint USA
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  1-877-999-7687
                            facsimile:  1-281-296-0869
                        address:  (CI_Address)
                            deliveryPoint:  251216 Grogan's Park Drive
                            city:  The Woodlands
                            administrativeArea:  Texas
                            postalCode:  77380
                            country:  USA
                        hoursOfService:  Monday to Friday, 8 - 5, CST
                    role:  (CI_RoleCode) processor
            processStep:  (LE_ProcessStep)
                description:  Dewberry utilizes a variety of software suites for inventory management, classification, and data processing. All LiDAR related processes begin by importing the data into the GeoCue task management software. The swath data is tiled into the client provided tiling schema (1700 m x 1700 m). The tiled data is then opened in Terrascan where Dewberry uses proprietary ground classification routines to remove any non-ground points and generate an accurate ground surface. The first part of the ground routine is to classify all points with a scan angle greater than 20 degrees to class 12, overlap. These points have the highest potential to cause issues in the ground surface. Therefore, they are classified to class 12 immediately where they will not be available for the remaining ground routine. The ground routine consists of three main parameters (building size, iteration angle, and iteration distance); by adjusting these parameters and running several iterations of this routine an initial ground surface is developed. The building size parameter sets a roaming window size. Each tile is loaded with neighboring points from adjacent tiles and the routine classifies the data section by section based on this roaming window size. The second most important parameter is the maximum terrain angle, which sets the highest allowed terrain angle within the model. The ground routine also identifies extremely low or high points that should be excluded from the ground surface and classifies them as class 7, noise. Once the ground routine has been completed a manual quality control routine is done using hillshades, cross-sections, and profiles within the Terrasolid software suite. After this QC step, a peer review and supervisor manual inspection is completed on a percentage of the classified tiles based on the project size and variability of the terrain. After the ground classification corrections were completed, the dataset was processed through a water classification routine that utilizes breaklines compiled by Dewberry to automatically classify hydrographic features. The water classification routine selects ground points within the breakline polygons and automatically classifies them as class 9, water. The fully classified dataset is then processed through Dewberry's comprehensive quality control program. The data was classified as follows: Class 1 = Unclassified. This class includes vegetation, buildings, noise etc. Class 2 = Ground Class 7= Noise (These points were removed from the data set by NOAA CSC during processing for data storage and Digital Coast provisioning). Class 9 = Water Class 12= Overlap Points with a scan angle greater than 20 degrees The LAS header information was verified to contain the following: Class (Integer) GPS Week Time (0.0001 seconds) Easting (0.01 foot) Northing (0.01 foot) Elevation (0.01 foot) Echo Number (Integer 1 to 4) Echo (Integer 1 to 4) Intensity (8 bit integer) Flight Line (Integer) Scan Angle (Integer degree)
                dateTime:
                  DateTime:  2011-05-01T00:00:00
                processor:  (CI_ResponsibleParty)
                    individualName:  Brian Mayfield
                    organisationName:  Dewberry - Geospatial Services Group
                    positionName:  Project Manager
                    contactInfo:  (CI_Contact)
                        phone:  (CI_Telephone)
                            voice:  813-225-1325
                            facsimile:  813-225-1385
                        address:  (CI_Address)
                            deliveryPoint:  1000 N. Ashley Drive, Suite 801
                            city:  Tampa
                            administrativeArea:  FL
                            postalCode:  33602
                            country:  USA
                            electronicMailAddress:  bmayfield@dewberry.com
                        hoursOfService:  8:00 - 4:00 EST
                    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 as well as intensity values. The data were in Delaware State Plane, NAD83 coordinates and NAVD88 heights. CSC performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from Delaware State Plane, NAD83 coordinates to geographic coordinates. 2. The data were converted from NAVD88 heights to ellipsoid heights using Geoid09. 3. Data points that were classified as 7 (noise) were removed from the data set. 4. The data were sorted and converted to LAZ format.
                dateTime:
                  DateTime:  2012-04-01T00:00:00
                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:  2013-01-22T00:00:00
                processor:  Mike Sutherland (processor) (CI_ResponsibleParty)
                    organisationName:
                    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 2013-01-22T13:13:19.557-07:00