referenceSystemInfo
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dataQualityInfo

2020 DC OCTO Lidar: Washington, DC
 (MI_Metadata)
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    contact:  (CI_ResponsibleParty)
        organisationName:  OCM Partners
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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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        role:  (CI_RoleCode) pointOfContact
    dateStamp:
      DateTime:  2023-02-21T18:41:16
    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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    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            authority:  (CI_Citation)
                title:  NAD83(2011)
                date:  (CI_Date)
                    date:  2008-11-12
                    dateType:  (CI_DateTypeCode) publication
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName:  European Petroleum Survey Group
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://apps.epsg.org/api/v1/CoordRefSystem/6318/export/?format=gml
                    role: (missing)
            code:  urn:ogc:def:crs:EPSG:6318
            version:  6.18.3
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    referenceSystemInfo:  (MD_ReferenceSystem)
        referenceSystemIdentifier:  (RS_Identifier)
            authority:  (CI_Citation)
                title:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
                alternateTitle:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
                citedResponsibleParty:  (CI_ResponsibleParty)
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                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://apps.epsg.org/api/v1/VerticalCoordRefSystem/5703/?api_key=gml
                            name:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
                            description:  Link to Geographic Markup Language (GML) description of reference system.
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                    organisationName:  European Petroleum Survey Group
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.epsg.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
                VerticalCS:
                  metaDataProperty:
                    CommonMetaData:
                      type:  vertical
                      informationSource:  OGP
                      revisionDate:  2006-11-28
                      isDeprecated:  false
                  identifier:  urn:ogc:def:cs:EPSG::6499
                  name:  Vertical CS. Axis: height (H). Orientation: up. UoM: meter.
                  remarks:  Used in vertical coordinate reference systems.
                  axis:
                    CoordinateSystemAxis:
                      descriptionReference:  urn:ogc:def:axis-name:EPSG::9904
                      identifier:  urn:ogc:def:axis:EPSG::114
                      axisAbbrev:  H
                      axisDirection:  up
            code:  urn:ogc:def:crs:EPSG::5703
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    spatialRepresentationInfo:
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2020 DC OCTO Lidar: Washington, DC
            date:  (CI_Date)
                date:  2020
                dateType:  (CI_DateTypeCode) creation
            date:  (CI_Date)
                date: (missing)
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 67079
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://www.fisheries.noaa.gov/inport/item/67079
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Full Metadata Record
                        description:  View the complete metadata record on InPort for more information about this dataset.
                        function:  (CI_OnLineFunctionCode) information
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                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/9492/ept.json
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Entwine Point Tiles (EPT)
                        description:  Entwine Point Tile (EPT) is a simple and flexible octree-based storage format for point cloud data. The data is organized in such a way that the data can be reasonably streamed over the internet, pulling only the points you need. EPT files can be queried to return a subset of the points that give you a representation of the area. As you zoom further in, you are requesting higher and higher densities. A dataset in EPT will contain a lot of files, however, the ept.json file describes all the rest. The EPT file can be used in Potree and QGIS to view the point cloud.
                        function:  (CI_OnLineFunctionCode) download
                role: (inapplicable)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov/
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA's Office for Coastal Management (OCM) website
                        description:  Information on the NOAA Office for Coastal Management (OCM)
                        function:  (CI_OnLineFunctionCode) download
                role: (inapplicable)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9491/details/9491
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Custom DEM Download
                        description:  Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.
                        function:  (CI_OnLineFunctionCode) download
                role: (inapplicable)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        linkage: https://coast.noaa.gov/lidar/viewer/v/noaapotree.html?m=9492&g=geoid18
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Potree 3D View
                        description:  Link to view the point cloud (using the Entwine Point Tile (EPT) format) in the 3D Potree viewer.
                        function:  (CI_OnLineFunctionCode) download
                role: (inapplicable)
            citedResponsibleParty:  (CI_ResponsibleParty)
                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
                    onlineResource:  (CI_OnlineResource)
                        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)
            presentationForm: (unknown)
        abstract:  These lidar data are processed classified LAS 1.4 files at USGS QL2 covering the District of Columbia. Voids exist in the data due to data redaction conducted under the guidance of the United States Secret Service. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data are also available. These data are available for custom download at the link provided in the URL section of this metadata record. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  This data is used for the planning and management of Washington, D.C. by local government agencies.
        credit:  Washington DC Office of the Chief Technology Officer (DC OCTO) 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 Jul 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (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
                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
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) pointOfContact
        pointOfContact:  (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
                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
                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9492/supplemental/dc2020_dc_m9492.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
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL 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 > DISTRICT OF COLUMBIA
            keyword:  VERTICAL LOCATION > LAND SURFACE
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                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
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
                edition:  14.9
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Airplane > Airplane
            type:  (MD_KeywordTypeCode) platform
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
                edition:  14.9
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2020 DC OCTO Lidar: Washington, DC [Data Date Range], https://www.fisheries.noaa.gov/inport/item/67079.
        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)
            accessConstraints:  (MD_RestrictionCode) otherRestrictions
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: None | Use Constraints: This work is licensed under a Creative Commons Attribution 4.0 International License. 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: See access and use constraints information. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  2020 DC OCTO Lidar DEM: Washington, DC
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  67061
            associationType:  (DS_AssociationTypeCode) crossReference
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Data Management Plan (DMP)
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  67079
                citedResponsibleParty:  (CI_ResponsibleParty)
                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/67079.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
                            function:  (CI_OnLineFunctionCode) information
                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -77.122373
                eastBoundLongitude:  -76.900716
                southBoundLatitude:  38.785481
                northBoundLatitude:  39.001746
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2020-06-26
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2020-06-29
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:   | Currentness: Ground Condition
                    timePosition:  2020-06-30
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            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
                    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
                        function:  (CI_OnLineFunctionCode) information
                role:  (CI_RoleCode) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9492/details/9492
                protocol:  WWW:LINK-1.0-http--link
                name:  Customized Download
                description:  Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
                function:  (CI_OnLineFunctionCode) download
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9492/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:  A final vertical accuracy check of the boresighted flight lines against the surveyed ground control points was conducted. The boresighted lidar data achieved a vertical accuracy of 0.027m RMSE (0.051m at 95% confidence) against the 20 NVA checkpoint control locations (two of which fall outside of the deliverable project boundary).
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Voids exist in the dataset as directed by the United States Secret Service (USSS).
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Data covers the entire District of Columbia
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  This data was collected by Fugro Geospatial, Inc. for the Washington DC Office of the Chief Technology Officer (OCTO). The NOAA Office for Coastal Management (OCM) downloaded the data from the Open Data DC site and processed it to be available for custom download from the Data Access Viewer (DAV) and for bulk download from AWS.
            processStep:  (LI_ProcessStep)
                description:  Acquisition: The lidar data acquisition for DC OCTO was flown to support the creation of a 2 ppsm classified lidar point cloud data set, 1 m resolution hydro-flattened bare earth DEM and nDSM, and .6m contours over the full project area covering the District of Columbia. Due to security requirements in the area, Fugro received waivers to fly in the Flight Restricted Zone (FRZ) and P-56 areas. The lidar acquisition was flown on 6/26/2020, 6/29/2020, and 6/30/2020, at an altitude of 9,022 feet above mean sea level and composed of 28 flight lines, 26 primary lines and two cross ties. All lidar data was collected with a Cessna 441, tail# N93HC and a Leica ALS80 lidar sensor, #130. Due to the known difficulties flying over DC, the ALS80 sensor was selected to take advantage of its flight altitude and speed, minimizing the number of lifts for the various flight restrictions. All lidar was collected in conjunction with airborne GPS.
            processStep:  (LI_ProcessStep)
                description:  Ground Control and Projection: Rice Associates, under contract to Fugro Geospatial, Inc., successfully established ground control for the DC OCTO project area. A total of 31 survey points were used, 6 ground control points, 20 NVA checkpoints, and 5 VVA checkpoints. GPS was used to establish the control network. The ground control was delivered in Maryland State Plane (FIPS1900) meters, with the horizontal datum provided in both NAD1983 and NAD83(2011). The vertical datum was the North American Vertical Datum of 1988 (NAVD88) using GEOID12B. Control was collected on February 24, 2020. Survey results are included in the Report of Survey 2020 LiDAR Ground Control Washington D.C.pdf During initial processing, QC and accuracy assessments were run the data in NAD83(2011) datum which is the native coordinate system from the sensor. Following boresight the data was re-projected to NAD83 for delivery per the contract specifications and cut to the delivery extent the control was re-run in the final deliverable projection. The initial QC process determined that a few small areas in the AOI were affected by cloud cover. The data in the affected areas were patched with 2018 data. A data layer of the patched areas is available on opendata.dc.gov.
            processStep:  (LI_ProcessStep)
                description:  Pre-Processing and Boresight: All lidar data went through a preliminary field review to ensure that complete coverage was obtained and that there were no gaps between flight lines prior to leaving the project site. Once back in the office, the data went through a complete iteration of processing to ensure that it is complete, uncorrupted and that the entire project area was covered without gaps. There were three steps to processing: 1) GPS/IMU processing - airborne GPS and IMU data was processed using the airport GPS base station data; 2) raw lidar data processing - the raw data was processed to LAS format flight lines with full resolution output before performing QC. A starting configuration file is used in this process, which contains the latest calibration parameters for the sensor and outputs the flight line trajectories. 3) Verification of coverage and data quality - the trajectory files were checked to ensure completeness of acquisition for the flight lines, calibration lines and cross flight lines. Intensity images were generated for the entire lift and thoroughly reviewed for data gaps in project area. A sample TIN surface was generated to ensure no anomalies or turbulence were present in the data; if any adverse quality issues were discovered, the flight line was rejected and re-flown. The achieved post spacing confirmed against the project specification of 2 ppsm and checked for clustering in point distribution. The review showed that the lidar data exceeded the 2 ppsm post spacing. The lidar data was boresighted using the following steps: 1) The raw data was processed to LAS format flight lines using the final GPS/IMU solution. This LAS dataset was used as source data for boresighting. 2) Fugro proprietary and commercial software was used to calculate initial boresight adjustment angles based on sample areas within the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The results were analyzed and any additional adjustments were completed the selected areas. 3) Once the boresight angle calculation was completed, the adjusted settings were applied to the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze the matching between flight line overlaps for the entire lift and adjusted as necessary. 4) Vertical misalignment of all flight lines was checked and corrected, as was the matching between data and ground truth. 5) A final vertical accuracy check of the boresighted flight lines against the surveyed ground control points was conducted. The boresighted lidar data achieved a vertical accuracy of 0.027m RMSE (0.051m at 95% confidence) against the 20 NVA checkpoint control locations (two of which fall outside of the deliverable project boundary).
            processStep:  (LI_ProcessStep)
                description:  Data Redaction: Following the boresight completion, the lidar dataset redaction was conducted under the guidance of the United States Secret Service. Except for classified ground points and classified water points, all lidar data returns and collected data were removed from the dataset using the United States Secret Service 1m redaction boundary generated for the 2017 orthophoto flight.
            processStep:  (LI_ProcessStep)
                description:  Classified Point Cloud: The boresighted lidar data underwent an automated classification filter to classify low noise, high noise, and ground points. To obtain optimum results, the parameters used by the automated classification filter are customized for each terrain type and project. Once the automated filtering was completed, the lidar files went through a visual inspection to ensure that an appropriate level of filtering was used. In cases where the filtering was too aggressive and important terrain may have been filtered out, the data is either run through a different filter within localized area or is corrected during the manual filtering process. A second automatic filter is run for the initial classification on buildings. Following the automatic filters, manual editing was completed in Terrascan software to correct any misclassification of the lidar dataset. All tiles then went through a peer review to ensure proper editing and consistency. When the peer review was completed two additional rounds of automatic filters were applied. The first filter ran the vegetation classification - moving the unclassified points to either the low, medium, or high vegetation classes. The second filter removed the cars on bridges, previously classified as vegetation, by buffering the bridges by two meters on each side (to maintain tree overhang on road shoulders and sidewalks) and then moving vegetation points over the center of the bridge to unclassified. Once the manual inspection, QC, and auto filter is complete for the lidar tiles, the LAS point cloud data was re-projected into the final deliverable projection and the accuracy statistics were re-run to confirm the deliverable accuracy. The LAS was then cut to the final delivery layout and in LAS 1.4 format for delivery. The point cloud was delivered with data in the following classifications: Class 1 - Processed but Unclassified; Class 2 - Bare Earth Ground; Class 3 - Low Vegetation; Class 4 - Medium Vegetation; Class 5 - High Vegetation, Class 6 - Buildings; Class 7 - Low Point (Noise); Class 9 - Water; Class 17 - Bridge Decks; Class 18 - High Noise; Class 20 - Ignored Ground.
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) downloaded this data set from the Open Data DC site (https://opendata.dc.gov/datasets/2020-lidar-classified-las/explore?location=38.893593%2C-77.011550%2C12.50). The total number of files downloaded and processed was 328. The data were in Maryland State Plane South (NAD83), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 3 - Low Vegetation, 4 - Medium Vegetation, 5 - High Vegetation, 6 - Building, 7 - Low Noise, 9 - Water, 17 - Bridge Deck, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available in the DAV are: 1, 2, 3, 4, 5, 6, 7, 9, 17, 18, 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 las files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid12B model, to convert from Maryland State Plane South (NAD83), meters coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to the Amazon s3 bucket.
                dateTime:
                  DateTime:  2022-04-28T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: The lidar acquisition was flown on 6/26/2020, 6/29/2020, and 6/30/2020, at an altitude of 9,022 feet above mean sea level and composed of 28 flight lines, 26 primary lines and two cross ties. All lidar data was collected with a Cessna 441, tail# N93HC and a Leica ALS80 lidar sensor, #130. Due to the known difficulties flying over DC, the ALS80 sensor was selected to take advantage of its flight altitude and speed, minimizing the number of lifts for the various flight restrictions. All lidar was collected in conjunction with airborne GPS.
                sourceCitation:  (CI_Citation)
                    title:  Fugro Geospatial, Inc.
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Fugro Geospatial, Inc.
                        role:  (CI_RoleCode) originator
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Washington DC Open Data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Washington DC Open Data
                        role:  (CI_RoleCode) originator
            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:  2023-07-01T10:42:33
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor