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2018 USGS Lidar: Washington FEMA QL1
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        organisationName:  OCM Partners
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        organisationName:  NOAA Office for Coastal Management
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                deliveryPoint:  2234 South Hobson Ave
                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
                country: (missing)
                electronicMailAddress:  coastal.info@noaa.gov
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      DateTime:  2023-05-30T18:10:32
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            version:  6.18.3
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2018 USGS Lidar: Washington FEMA QL1
            alternateTitle:  wa2018_fema_ql1_m9230_metadata.xml
            date:  (CI_Date)
                date:  2019-10-28
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
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                code:
                  Anchor:  InPort Catalog ID 63378
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                        linkage: https://www.fisheries.noaa.gov/inport/item/63378
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                        name:  Full Metadata Record
                        description:  View the complete metadata record on InPort for more information about this dataset.
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9230/supplemental/WA_FEMA_HQ_2018_Cumulative_LiDAR_Technical_Data_Report_FINAL.pdf
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                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9230/breaklines/
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Breaklines
                        description:  Link to the breaklines.
                        function:  (CI_OnLineFunctionCode) download
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                        linkage: https://coast.noaa.gov/dataviewer/
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
                        description:  The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
                        function:  (CI_OnLineFunctionCode) download
                role: (inapplicable)
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        abstract:  Product: Washington FEMA HQ Classified Lidar point cloud. Geographic Extent: This dataset and derived products encompass the Washington FEMA HQ Lidar dataset, an area covering approximately 6519 acres of QL1 data in Washington State in Pend Orielle County in UTM Zone 11. A QL2 survey area was also part of this collection and covers approximately 3,450,211 acres encompassing portions of 5 counties: Whitman, Skamania, Cowlitz, Clark, and Klickitat. The QL2 survey area is not included in this data set because it was collected using QL2 criteria. A link to the metadata record for the QL2 survey area is provided in the Related Items field at the end of this metadata record. Dataset Description: RAW flight line swaths were processed to create classified LAS 1.4 files projected in UTM Zone 11 and delineated in 1,000m x 1,000m tiles. (Please note the following tiles do not exist as no points fall within their boundaries due their small size and/or the fact they fall completely over water: 10TGR1465, 10TER6244) Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area. Ground Conditions: Ground condition was free of snow. Acquisition below aircraft free of smoke, fog and cloud cover. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. The NOAA Office for Coastal Management (OCM) downloaded the: 1. Lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL1_2018/LAZ/ 2. Breaklines from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL1_2018/breaklines/ 3. Reports and metadata from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL2_2018/ The lidar point files were processed to the Data Access Viewer (DAV) and https. The total number of laz files downloaded and processed was 41. The breakline data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Washington FEMA HQ Lidar contract. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, 3D breaklines of rivers and lakes, and bridges within the study area.
        credit:  Quantum Spatial, Inc. The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed Aug 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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            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
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                    voice:  (843) 740-1202
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
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                    description:  NOAA Office for Coastal Management Home Page
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9230/supplemental/wa2018_fema_ql1_m9230.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
            keyword:  CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON
            keyword:  VERTICAL LOCATION > LAND SURFACE
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  12.3
        descriptiveKeywords:  (MD_Keywords)
            keyword:  LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
                edition:  14.9
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            keyword:  Airplane > Airplane
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                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
                edition:  14.9
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            keyword:  3DEP
            keyword:  QL1
            keyword:  erosion
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Washington > Pend Orielle County
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2018 USGS Lidar: Washington FEMA QL1 [Data Date Range], https://www.fisheries.noaa.gov/inport/item/63378.
        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)
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            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: None | Use Constraints: Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. | Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., FEMA, USDA, USGS, NOAA, the Office for Coastal Management or its partners.
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            classification:  (MD_ClassificationCode) unclassified
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            aggregateDataSetName:  (CI_Citation)
                title:  2018 - 2019 USGS Lidar: Washington FEMA QL2
                date: (unknown)
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                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  63373
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                    code:  63378
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                    contactInfo:  (CI_Contact)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/63378.pdf
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                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        spatialResolution:  (MD_Resolution)
            distance:
              Distance:  .35
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  Waypoint Inertial Explorer 8.7, Leica Cloudpro 1.2.4, Microstation Version 10.0, TerraScan Version 19, TerraModeler Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3.1, LasMonkey 2.4.1 (Proprietary), Las Product Creator 3.1 (Proprietary), Windows 7 Operating System
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -117.374448
                eastBoundLongitude:  -117.281623
                southBoundLatitude:  48.40504
                northBoundLatitude:  48.455121
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2018-08-12
        supplementalInformation:  USGS Contract No. G16PC00016 CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. All lidar data acquisition, calibration, and follow-on processing were completed by Quantum Spatial. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "0.71", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1,800", "ldrfltsp" : "110", "ldrscana" : "30", "ldrscanr" : "42", "ldrpulsr" : "300", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "965", "ldrswato" : "67", "ldrgeoid" : "Geoid12B" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "15", "ldrnps" : "1.00", "ldrdens" : "1", "ldranps" : "0.70", "ldradens" : "2", "ldrfltht" : "2,300", "ldrfltsp" : "125", "ldrscana" : "30", "ldrscanr" : "44", "ldrpulsr" : "245", "ldrpulsd" : "2.5", "ldrpulsw" : "0.75", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.22", "ldrswatw" : "1,233", "ldrswato" : "25", "ldrgeoid" : "Geoid12B" }, "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program Lidar Base Specification, Version 1.3", "ldrsens" : "VQ-1560i", "ldrmaxnr" : "15", "ldrnps" : "1.00", "ldrdens" : "1", "ldranps" : "0.70", "ldradens" : "2", "ldrfltht" : "2,392", "ldrfltsp" : "130", "ldrscana" : "58.5", "ldrscanr" : "68.1", "ldrpulsr" : "700", "ldrpulsd" : "3", "ldrpulsw" : "0.90", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.18", "ldrswatw" : "1,145", "ldrswato" : "20", "ldrgeoid" : "Geoid12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points are identified in these files using the standard LAS Withheld bit.", "lasolap" : "Swath "overage" points are identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "NIR Water Surface" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "20", "clasitem" : "Ignored Ground Near Breaklines" } }}
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    distributionInfo:  (MD_Distribution)
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            name:  Zip
            version: (missing)
            fileDecompressionTechnique:  Zip
        distributionFormat:  (MD_Format)
            name:  LAZ
            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
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                        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=9230/details/9230
                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. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9230/index.html
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  For the Washington FEMA 3DEP 2018 survey (which includes the QL1 and QL2 survey areas), 128 ground check points were withheld from the calibration and post processing of the LiDAR point cloud, with resulting non-vegetated vertical accuracy of 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm. QSI also assessed absolute accuracy using 4,387 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they still provide a good indication of the overall accuracy of the LiDAR dataset. The resulting non-vegetated vertical accuracy was also 0.119 meters as compared to unclassified LAS, and 0.119 meters as compared to the bare earth DEM, with 95% confidence. The NVA RMSE value is 6.1 cm. QSI also assessed vertical accuracy using Vegetated Vertical Accuracy (VVA) reporting. VVA compares known ground check point data collected over vegetated surfaces using land class descriptions to the digital elevation model generated by the ground classified LiDAR points. For the Washington FEMA 3DEP 2018 survey, 98 vegetated check points were collected, with resulting vegetated vertical accuracy of 0.251 meters as compared to the bare earth DEM, evaluated at the 95th percentile. The VVA RMSE is 12.9 cm.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. Lidar flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Classified LAS files were tested by QSI for vertical accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  Data collected by QSI, Inc. for USGS. The data were downloaded from the USGS rockyftp site and processed to make the data available for download from the NOAA OCM Data Access Viewer (DAV).
            processStep:  (LI_ProcessStep)
                description:  LiDAR Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid12B correction. 5. Import raw laser points into manageable blocks to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points.
                dateTime:
                  DateTime:  2019-05-06T00:00:00
            processStep:  (LI_ProcessStep)
                description:  LiDAR Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project
                dateTime:
                  DateTime:  2019-05-06T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) downloaded the lidar point data from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/WA_FEMAHQ_2018_D18/WA_FEMAHQ_B1_QL1_2018/LAZ/ The total number of laz files downloaded and processed was 41. The data were in UTM Zone 11 (NAD83 2011), meters and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 20. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges. 2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert from UTM Zone 11 (NAD83 2011), meters, to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http.
                dateTime:
                  DateTime:  2020-12-29T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Quantum Spatial, Inc.
                    date: (missing)
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  USGS
                    date: (missing)
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey. Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org) Processing notes:
                dateTime:
                  DateTime:  2023-08-01T07:26:32
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor