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2017 USFS Lidar: Willamette National Forest - Oakridge, OR
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                deliveryPoint:  2234 South Hobson Ave
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    spatialRepresentationInfo:
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2017 USFS Lidar: Willamette National Forest - Oakridge, OR
            date:  (CI_Date)
                date:  2020-05-04
                dateType:  (CI_DateTypeCode) creation
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                date: (missing)
                dateType:  (CI_DateTypeCode) publication
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                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 59500
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                        linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/9080/supplemental/ProjectReport_17042_Willamette.pdf
                        protocol:  WWW:LINK-1.0-http--link
                        name:  Data report
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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:  No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record. The United States Forest Service, Region 6, (USFS) required leaf-on airborne LiDAR surveys to be collected over of national forestry in Oregon and Washington State. The following areas were requested to be covered: Gifford Pinchot National Forest (GIP) in Vancouver, Washington; Okanogan-Wenatchee National Forest (OKA) in Wenatchee, Washington; Malheur National Forest (MAL) in John Day, Oregon; Deschutes National Forest (DES) in Bend, Oregon, Willamette National Forest (WIL) in Eugene, Oregon, Umpqua National Forest (UMP) in Douglas, Lane, and Jackson Counties, Oregon. The following report applies to the Willamette AOI, which encompasses ten (10) square miles of the Willamette National Forest in Oregon. Aerial LiDAR data for this task order was planned, acquired, processed and produced at an aggregate nominal pulse spacing (ANPS) of 0.35 meters and aggregate nominal pulse density of 8 pulses per square meter. This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  The primary goals of this project are to provide high accuracy Light Detection and Ranging (LiDAR) data to enhance project planning and implementation; identify areas for the implementation of forest restoration treatments designed to restore forest structure in young-growth stands; and to provide engineering and resource specialists more information for on-the-ground project planning. In addition, these data will be used by researchers and scientists to characterize vegetation type and structure as it currently exists on the landscape and to provide a detailed, accurate, and precise benchmark for future change detection work. The data products specified herein may also be used for vegetation mapping, road identification and mapping, hydrologic feature delineation, and landcover characterization applications including a canopy height model, understory vegetation prediction, and other stand metrics.
        credit:  USDA Forest Service 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 Oct 20, 2020 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
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                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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            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
                    protocol:  WWW:LINK-1.0-http--link
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                    function:  (CI_OnLineFunctionCode) information
            role:  (CI_RoleCode) custodian
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            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) notPlanned
        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/9080/supplemental/extent_USFS_lidar_m9080.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)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America
            keyword:  Continent > North America > United States Of America > Oregon
            keyword:  Continent > North America > United States Of America > Oregon > Oakridge
            keyword:  Continent > North America > United States Of America > Oregon > Willamette National Forest
            keyword:  Vertical Location > Land Surface
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Aircraft > Aircraft
            type:  (MD_KeywordTypeCode) platform
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar - 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 the USDA Forest Service, NOAA, the Office for Coastal Management or its partners.
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            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
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        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  2017 USFS Lidar: Malheur National Forest - Crow, OR
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
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                    code:  59452
            associationType:  (DS_AssociationTypeCode) crossReference
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  2017 USFS Lidar: Pole Creek and Whychus Creek, OR
                date: (unknown)
                identifier:  (MD_Identifier)
                    authority:  (CI_Citation)
                        title:  NOAA/NMFS/EDM
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                    code:  59454
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        aggregationInfo:  (MD_AggregateInformation)
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                title:  2017 USFS Lidar: Umpqua National Forest - Tiller, OR
                date: (unknown)
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                        title:  NOAA/NMFS/EDM
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                title:  NOAA Data Management Plan (DMP)
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                        title:  NOAA/NMFS/EDM
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                    code:  59500
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                    contactInfo:  (CI_Contact)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/59500.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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                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -122.6261
                eastBoundLongitude:  -122.5295
                southBoundLatitude:  43.7064
                northBoundLatitude:  43.7844
            geographicElement:  (EX_GeographicDescription)
                geographicIdentifier:  (MD_Identifier)
                    code:  Willamette National Forest project area.
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimeInstant:
                    description:  Dates of collection. | Currentness: Ground Condition
                    timePosition:  2017-07-15
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            name:  Zip
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            fileDecompressionTechnique:  Zip
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            name:  LAZ
            version: (missing)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
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                    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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        transferOptions:  (MD_DigitalTransferOptions)
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9080
                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.
                function:  (CI_OnLineFunctionCode) download
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                linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/9080
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of lidar files in laz format, geographic coordinates, orthometric heights.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Not Provided
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  NVA RMSE with 8 check points is 7.13 cm
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  The Atlantic Group, LLC collected Light Detection and Ranging (LIDAR) data in the Willamette National Forest project area for the USDA Forest Service. NOAA OCM received the data and ingested it into the Digital Coast Data Access Viewer for distribution.
            processStep:  (LI_ProcessStep)
                description:  Acquisition Atlantic operated a Leica ALS70-HP LiDAR system on a Cessna (N732JE) during July 15, 2017 for the project area. Atlantic acquired 10 passes of the AOI as a series of perpendicular and/or adjacent flight-lines executed in 1 flight mission. Onboard differential Global Navigation Satellite System (GNSS) unit(s) recorded sample aircraft positions at 2 hertz (Hz) or more frequency. LiDAR data was only acquired when a minimum of six (6) satellites were in view. Two Continuously Operating Reference Stations (CORS) were used to control the LiDAR acquisition for the defined project area.
                dateTime:
                  DateTime:  2017-07-20T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Calibration/Classification Atlantic used Leica software products to download the IPAS ABGNSS/IMU data and raw laser scan files from the airborne system. Waypoint Inertial Explorer is used to extract the raw IPAS ABGNSS/IMU data, which is further processed in combination with controlled base stations to provide the final Smoothed Best Estimate Trajectory (SBET) for each mission. The SBETs are combined with the raw laser scan files to export the LiDAR ASCII Standard (*.las) formatted swath point clouds. Departures from planarity of first returns within single swaths in non-vegetated areas were assessed at multiple locations with hard surface areas (parking lots or large rooftops) inside the project area. Each area was evaluated using signed difference rasters (maximum elevation – minimum elevation) at a cell size equal to 2 x ANPS, rounded to the next integer. Using a combination of GeoCue, TerraScan and TerraMatch; overlapping swath point clouds are corrected for any orientation or linear deviations to obtain the best fit swath-to-swath calibration. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. This process was repeated interactively until residual errors between overlapping swaths, across all project missions, was reduced to ≤2 cm. A final analysis of the calibrated lidar is preformed using a TerraMatch tie line report for an overall statistical model of the project area. Individual control point assessments for this project can be found in Section VI of the report. Upon completion of the data calibration, a complete set of elevation difference intensity rasters (dZ Orthos) are produced. A user-defined color ramp is applied depicting the offsets between overlapping swaths based on project specifications. The dZ orthos provide an opportunity to review the data calibration in a qualitative manner. Atlantic assigns green to all offset values that fall below the required RMSDz requirement of the project. A yellow color is assigned for offsets that fall between the RMSDz value and 1.5x of that value. Finally, red values are assigned to all values that fall beyond 1.5x of the RMSDz requirements of the project. Multiple automated filtering routines are applied to the calibrated LiDAR point cloud identifying and extracting bare-earth and above ground features. GeoCue, TerraScan, and TerraModeler software was used for the initial batch processing, visual inspection and any manual editing of the LiDAR point clouds.
                dateTime:
                  DateTime:  2018-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received 24 lidar point cloud files in laz format from the USDA Forest Service. The files contained lidar elevation and intensity measurements. The data were in Albers NAD83 Forest Service Region 6, meters, coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1-Unclassified, 2-Ground, 7 - Low Noise, 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, 7, 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 Geoid 12B model, to convert from Albers NAD83 Forest Service Region 6 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.
                dateTime:
                  DateTime:  2020-05-04T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  NOAA Office for Coastal Management
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                        phone:  (CI_Telephone)
                            voice:  (843) 740-1202
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  processed lidar data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  The Atlantic Group, LLC
                        role:  (CI_RoleCode) originator
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  raw lidar data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  The Atlantic Group, LLC
                        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:  2020-10-20T04:38:35
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor