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2017 OLC Lidar: Baker County, OR
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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
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      DateTime:  2023-05-30T18:10:32
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                      organisationName:  European Petroleum Survey Group
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                  title:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
                  alternateTitle:  North American Vertical Datum of 1988 (NAVD88) (GEOID18) meters
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              code:  urn:ogc:def:crs:EPSG::5703
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2017 OLC Lidar: Baker County, OR
            date:  (CI_Date)
                date:  2018-01-15
                dateType:  (CI_DateTypeCode) publication
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                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
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                code:
                  Anchor:  InPort Catalog ID 58983
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                organisationName: (inapplicable)
                contactInfo:  (CI_Contact)
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                        linkage: https://www.fisheries.noaa.gov/inport/item/58983
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                        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/geoid18/9043/supplemental/OLC_BAKER_COUNTY_3DEP_2017_REPORT.pdf
                        protocol:  WWW:LINK-1.0-http--link
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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)
            presentationForm: (unknown)
        abstract:  Geographic Extent: OLC Baker County 3DEP 2017 defined project area (DPA) extends approximately 224,286 acres; the buffered project area (BPA) covers approximately 229,671 acres. Dataset Description: The OLC Baker County 3DEP 2017 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2. The data were developed based on a horizontal projection/datum of NAD83 (2011), meters and vertical datum of NAVD88 Geoid 12B, meters. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.4 Files formatted to individual 0.075 USGS quadrangle tiles, and corresponding hydroconditioned Bare Earth DEMs tiled to 7.5 USGS quadrangle schema, and Breaklines in ESRI File-Geodatabase format. Ground Conditions: LiDAR was collected while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, QSI established a total of 34 QA control points and 637 control points that were used to calibrate the LIDAR to known ground locations established throughout the OLC Baker County 3DEP 2017 project area. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 meter cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary.
        credit:  Quantum Spatial, Inc. flew the LiDAR and processed the data., Quantum Spatial, Inc. DOGAMI 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
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) notPlanned
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9043/supplemental/extent_2017_baker_OR_m9043.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 > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
            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 > OREGON
            keyword:  VERTICAL LOCATION > LAND SURFACE
            keyword:  VERTICAL LOCATION > SEA FLOOR
            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:  Continent > North America > United States Of America > Oregon > Baker County
            type:  (MD_KeywordTypeCode) place
        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]: 2017 OLC Lidar: Baker County, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58983.
        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: 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 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:  NOAA Data Management Plan (DMP)
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  58983
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                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58983.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        spatialResolution:  (MD_Resolution)
            distance:
              Distance:  .3
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  Inertial Explorer Version 8.7, Leica CloudPro Version 1.2.4, Microstation Version 8.0, TerraScan Version 17, TerraModeler Version 17, TerraMatch Version 17, ESRI ArcGIS 10.3.1, Windows 7 Operating System
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -117.55254
                eastBoundLongitude:  -116.843571
                southBoundLatitude:  44.285409
                northBoundLatitude:  44.997606
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2017-09-26
                    endPosition:  2017-09-30
        supplementalInformation:  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 the prime contractor. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "unlimited", "ldrnps" : "0.35 m", "ldrdens" : "8 PPSM", "ldranps" : "0.35 m", "ldradens" : "8 PPSM", "ldrfltht" : "1700 m", "ldrfltsp" : "130 kts", "ldrscana" : "30 degrees", "ldrscanr" : "58.4 Hz", "ldrpulsr" : "275.0 kHz", "ldrpulsd" : "3 ns", "ldrpulsw" : "0.25 m", "ldrwavel" : "1064 nm", "ldrmpia" : "1", "ldrbmdiv" : "0.25 mrad", "ldrswatw" : "911 m", "ldrswato" : "60%", "ldrcrs" : "North American Datum of 1983 (2011)", "ldrgeoid" : "NAVD88 Geoid 12B" }, "ldraccur" : { "ldrchacc" : "0.05 m", "rawnva" : "0.055 m", "rawnvan" : "34" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "PF 6", "laswheld" : "Withheld points are identified as aerial distubrance, low ground noise and atmospheric distrubances.", "lasolap" : "Swath overage points are described as one degree to either side of overlapping swath boundaries.", "lasintr" : "12 bits", "lasclass" : { "clascode" : "1", "clasitem" : "Processed, but Unclassified" }, "lasclass" : { "clascode" : "2", "clasitem" : "Bare earth ground" }, "lasclass" : { "clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : { "clascode" : "9", "clasitem" : "Water" }, "lasclass" : { "clascode" : "10", "clasitem" : "Ignored Ground Near Breakline" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "18", "clasitem" : "High Noise" } }}
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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
                    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) distributor
        transferOptions:  (MD_DigitalTransferOptions)
            onLine:  (CI_OnlineResource)
                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9043
                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/geoid18/9043/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:  LAS data from the OLC Baker County 3DEP 2017 project was compared to independent ground check points to determine the NVA of the LAS Swath and of the Bare Earth DEM. LAS Swath NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Bare earth DEM Non-vegetated Vertical Accuracy (NVA) tested 0.055 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. Raw Swath NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter non vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter(RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 34 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN. Swath points flagged as withheld were not included in the accuracy test. BareEarth DEM NonVegetated Vertical Accuracy (NVA) Tested 0.055 meter Non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.028 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 34 NVA points using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the DEM. Vegetated Vertical Accuracy (VVA): The required accuracy of the VVA at the 95th percentile according to specification is 0.294 meter. The VVA tested 0.276 meter at the 95th percentile using National Digital Elevation Program (NDEP)/ASPRS Guidelines against the DEM using 33 VVA points.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data. The raw point cloud is of good quality and data passes Nonvegetated Vertical Accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Classified LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next, no gaps or no data areas.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Lidar Pre-Processing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This was repeated iteratively until residual errors between overlapping swaths, across all project lifts, was reduced to acceptable levels. Data were then block adjusted to match surveyed calibration control. Raw data NVA were checked using independently surveyed checkpoints. Swath overage points were identified and tagged within each swath file.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in proprietary software. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. All classification tags are stored in the original swath files. After completion of classification and final QC approval, the NVA for the project is calculated. Sample areas for each land cover type present in the project area were extracted and forwarded to the U.S. Geological Survey, for Vegetated Vertical Accuracy (VVA) accuracy tests. Upon acceptance, the complete classified lidar swath files were delivered to the U.S. Geological Survey.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Classified LAS Processing: The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 18 (High Noise) and Class 129 (Overlap Ground). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. ArcMap us used as a final check of the bare earth dataset. QSI proprietary software was then used to create the deliverable industry-standard LAS files. QSI proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Hydro Flattening Breakline Processing: Class 2 LiDAR was used to create a bare earth surface model. Proprietary software utilized rasters created within Bentley Microstation to auto-generate breaklines of inland streams and rivers with a 30 meter nominal width which were then manually inspected and digitized. Breaklines for Lakes with surface area greater than 2 acres were generated using heads-up digitization. Elevation values were assigned to all Inland Ponds and Lakes within ESRI ArcMap; Inland Pond and Lake Islands, Inland Stream and River Islands were assigned elevation values from within ESRI ArcMap. All ground (ASPRS Class 2) LiDAR data inside of the collected inland breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened stream. These points were moved from ground (ASPRS Class 2) to Ignored Ground (ASPRS Class 10). The breakline files were then translated to ESRI File-Geodatabase format using ESRI conversion tools.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Hydro Flattened Raster DEM Process: Class 2 LiDAR in conjunction with the hydro breaklines were used to create a hydro-flattened DEM. Using automated scripting routines within Bentley Microstation, ascii files were created for each tile. The ascii files are then mosaicked together in ArcMap and reviewed for surface anomalies.
                dateTime:
                  DateTime:  2017-10-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received 1,838 laz files from the Oregon Lidar Consortium/ DOGAMI. The data were in UTM Zone 11N (NAD83 2011) coordinates in meters and NAVD88 (Geoid12b) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 10 - Ignored Ground, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 7, 9, 10, 17, 18. 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 Geoid12b model, to convert from UTM Zone 11N (NAD83 2011) coordinates in meters to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: This data source was used to populate the lidar point cloud data.
                sourceCitation:  (CI_Citation)
                    title:  Lidar RAW Data for OLC Baker County 3DEP 2017
                    date:  (CI_Date)
                        date:  2018-01-15
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Quantum Spatial, Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2017-09-26
                            endPosition:  2017-09-30
            source:  (LI_Source)
                description:  Source Contribution: This data source was used (along with the airborne GPS/IMU Data) to aid in the georeferencing of the lidar point cloud data.
                sourceCitation:  (CI_Citation)
                    title:  Survey Report of LiDAR Ground Control Points: OLC Baker County 3DEP 2017 LiDAR
                    date:  (CI_Date)
                        date:  2018-01-15
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Quantum Spatial, Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2017
            source:  (LI_Source)
                description:  Source Contribution: This data source was used (along with the lidar intensity imagery) to QC and vertically adjust the lidar point cloud data.
                scaleDenominator:  (MD_RepresentativeFraction)
                    denominator:  50
                sourceCitation:  (CI_Citation)
                    title:  Survey Report of LiDAR Quality Control Points: OLC Baker County 3DEP 2017 LiDAR
                    date:  (CI_Date)
                        date:  2018-01-15
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Quantum Spatial, Inc.
                        role:  (CI_RoleCode) originator
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2017
            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:  2023-07-01T09:55:53
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor