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2017 OLC Lidar DEM: John Day, OR
 (MI_Metadata)
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    hierarchyLevelName:  Elevation
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        organisationName:  NOAA Office for Coastal Management
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                voice:  (843) 740-1202
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                deliveryPoint:  2234 South Hobson Ave
                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
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                electronicMailAddress:  coastal.info@noaa.gov
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                linkage: https://coast.noaa.gov
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                description:  NOAA Office for Coastal Management Home Page
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    dateStamp:
      DateTime:  2019-11-14T15:06:32
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    metadataStandardVersion:  ISO 19115-2:2009(E)
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            code:  EPSG::6340
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            code:  EPSG::5703
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2017 OLC Lidar DEM: John Day, OR
            alternateTitle:  or2017_john_day_dem_m8922_metadata
            date:  (CI_Date)
                date:  2017-12-08
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
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                  Anchor:  InPort Catalog ID 58224
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                        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)
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                        linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8921
                        protocol:  WWW:LINK-1.0-http--link
                        name:   Citation URL
                        description:  Link to custom download, from the Data Access Viewer (DAV), the lidar point data from which these raster Digital Elevation Model (DEM) data were created.
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8921/supplemental/OLC_JOHN_DAY_3DEP_2017.pdf
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                        name:  Dataset report
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                        linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8921/breaklines
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                        name:   Citation URL
                        description:  Link to the breakline data.
                        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
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        abstract:  This bare earth hydro flattened digital elevation model (DEM) represents the earth's surface with all vegetation and human-made structures removed and hydro flattening performed within the OLC John Day 3DEP 2017 defined project area. Bare Earth Hydro Flattened DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The data were developed based on the UTM 11N projection; horizontal datum of NAD83 (2011), meters and vertical datum of NAVD88 Geoid 12B, meters. See Process Steps for derivation of raster data sets. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEM data were created from and the breakline data are also available. These data are available for download at the link provided in the URL section of this metadata record.
        purpose:  This raster dataset provides high resolution terrain elevation data in the U.S. Geological Survey OLC John Day 3DEP 2017 area.
        credit:  USGS, Quantum Spatial, Inc.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
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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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                    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
        resourceMaintenance:  (MD_MaintenanceInformation)
            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) notPlanned
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8921/supplemental/or2017_john_day_m8921.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  bare earth
            keyword:  bare ground
            keyword:  DEM
            keyword:  digital terrain model
            keyword:  DTM
            keyword:  elevation data
            keyword:  high-resolution
            keyword:  hydro-flattening
            keyword:  LiDAR
            keyword:  Light Detection and Ranging
            keyword:  Quantum Spatial
            keyword:  Inc.
            keyword:  topography
            keyword:  U.S. Geological Survey
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Science > Land Surface > Topography > Terrain Elevation
            keyword:  elevation
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Oregon
            keyword:  Vertical Location > Land Surface
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
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            keyword:  Gilliam County
            keyword:  Grant County
            keyword:  Wheeler County
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging
            type:  (MD_KeywordTypeCode) instrument
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Aircraft > Aircraft
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                date: (missing)
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            keyword:  DEMs - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
                date: (inapplicable)
        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 Quantum Spatial, Inc, USGS, the Oregon Lidar Consortium (OLC), DOGAMI, 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:  2017 OLC Lidar: John Day, OR
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
                        date: (inapplicable)
                    code:  58202
            associationType:  (DS_AssociationTypeCode) crossReference
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -120.251476
                eastBoundLongitude:  -118.55174
                southBoundLatitude:  44.113847
                northBoundLatitude:  45.25266
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2017-06-14
                    endPosition:  2017-07-09
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    contentInfo:  (MD_FeatureCatalogueDescription)
        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  Quantum Spatial, Inc.
            date: (unavailable)
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            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:  Website
                        description:  NOAA Office for Coastal Management Home Page
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8922
                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
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                linkage: https://coast.noaa.gov/htdata/raster2/elevation/OLC_John_Day_DEM_2017_8922
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                name:  Bulk Download
                description:  Bulk download of data files in the original coordinate system.
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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 John Day 3DEP 2017 project was compared to independent survey control points to determine the NVA of the LAS Swath and of the Bare Earth DEM. LAS Swath NonVegetated Vertical Accuracy (NVA) Tested 0.065 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.033 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 61 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. Bare earth DEM Non-vegetated Vertical Accuracy (NVA) tested 0.074 meter non-vegetated vertical accuracy at a 95 percent confidence level, derived according to NSSDA, in open terrain using 0.038 meter (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported against 61 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 0.251 meter at the 95th percentile using National Digital Elevation Program (NDEP)/ASPRS Guidelines against the DEM using 45 VVA points.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  LiDAR has been collected and processed for all areas within the OLC John Day 3DEP 2017 study area. In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. In some areas with large bodies of water, competing water surface levels may be visible. This is due to seasonal water level fluctuation and intervals of time between acquisition of an area.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  LiDAR flight lines have been examined to ensure that there was at least 55 - 75% sidelap, there are no gaps between flight lines, and overlapping flight lines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data were examined at a 1:3000 scale.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Acquisition. LiDAR data acquisition was conducted from 20170614 to 20170709. The survey utilized a Leica ALS80 sensor mounted in a Cessna Caravan. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
                dateTime:
                  DateTime:  2017-07-10T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Processing. 1. TRAJECTORY: Aircraft trajectory (position and attitude) were calculated based on on-board GPS and IMU data with post-processing refinement through coincident static GPS collection. 2. POST-PROCESSING: Laser point return coordinates (x,y,z) were computed using sensor-specific post processing software, combining LiDAR return range and intensity information with aircraft trajectory information. 3. INITIAL QAQC: The post-processed LiDAR files were assembled into flight lines and reviewed for gaps and consistency, as well as systematic noise. 4. CALIBRATION: Custom algorithms evaluated individual swaths for misalignments based on IMU configuration as well as aircraft attitude variability. Offsets were resolved through surface and linear matching algorithms that minimize variability in elevation and slope. Descriptive statistics, thresholds, and specifications providing transparency for data calibration are discussed in the accompanying Data Report. 5. GROUND MODELING: Ground classified point cloud was generated through proprietary data processing tools, with settings and thresholds appropriate to landscape and vegetation condition. 6. ARTIFACT FILTRATION: Noise and processing artifacts were filtered using post-processing software and proprietary quality control methods. 7. ACCURACY ASSESSMENT: Vertical accuracy for the LiDAR dataset was assessed against reserved Quality Assurance Points (QAPs) distributed throughout the study area and not used during calibration processes. See the accompanying Data Report for methodology, descriptive statistics, and relevant standards and reporting language. 8. DATA PRODUCT: LiDAR points classified as 'ground' were output as a digital elevation model (DEM). 9. Hydro Flattening Breakline Processing: Class 2 LiDAR was used to create a bare earth surface model. E-Cognition utilized rasters created within Bentley Microstation to auto-generate breaklines of inland streams and rivers with a 100 foot nominal width and Inland Ponds of 2 acres or greater surface area. 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 2.1 meter 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:  2017-07-10T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received 5472 hydro-flattened bare earth DEM files in Arc Grid format from DOGAMI. The data were in UTM Zone 11, NAD83 (2011), meters, coordinates and NAVD88 (Geoid12B) elevations in meters. The EPSG codes (Horizontal - 6340, Vertical - 5703), were assigned. The data were converted to GeoTIFF format for ingest into the Digital Coast Data Access Viewer and to adhere to the Open Data Policy.
                dateTime:
                  DateTime:  2019-11-13T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor