| 2022 ODF Lidar: Private Forest Accords, OR | spatialRepresentationInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:79315 language: LanguageCode: eng characterSet: (MD_CharacterSetCode) UTF8 hierarchyLevel: (MD_ScopeCode) dataset hierarchyLevelName: Elevation contact: (CI_ResponsibleParty) organisationName: OCM Partners contactInfo: (CI_Contact) phone: (CI_Telephone) voice: (missing) address: (CI_Address) role: (CI_RoleCode) resourceProvider contact: (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 dateStamp: DateTime: 2026-02-23T14:51:35 metadataStandardName: ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data metadataStandardVersion: ISO 19115-2:2009(E) return to top spatialRepresentationInfo: (MD_VectorSpatialRepresentation) topologyLevel: (MD_TopologyLevelCode) geometricObjects: (MD_GeometricObjects) geometricObjectType: (MD_GeometricObjectTypeCode) point geometricObjectCount: 6113534280 return to top referenceSystemInfo: (MD_ReferenceSystem) referenceSystemIdentifier: (RS_Identifier) authority: (CI_Citation) title: NAD83(2011) / UTM zone 10N 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/6339/export/?format=gml role: (missing) code: urn:ogc:def:crs:EPSG:6339 version: 6.18.3 return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2022 ODF Lidar: Private Forest Accords, OR alternateTitle: or2022_prv_frst_acc_m13984_metadata date: (CI_Date) date: 2022 dateType: (CI_DateTypeCode) creation date: (CI_Date) date: 2026 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 79315 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inport/item/79315 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 role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/13984/ept.json protocol: WWW:LINK-1.0-http--link name: Entwine Point Tile (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://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/supplemental/2022_ODF_PFA_Lidar_Technical_Report.pdf protocol: WWW:LINK-1.0-http--link name: Lidar Report description: Link to the GeoTerra lidar report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/supplemental/220333_ODF_Lidar_PFA_Control_Survey_Report.pdf protocol: WWW:LINK-1.0-http--link name: Survey Report description: Link to the GeoTerra survey report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/13984/breaklines/index.html protocol: WWW:LINK-1.0-http--link name: Breaklines description: Link to the breaklines in Esri gdb and OGC GeoPackage formats. 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?r=https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/entwine/geoid18/13984/ept.json 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: Original Product: Classified LAS 1.4 files covering private forested Areas of Interest (AOI) in central Oregon. Original Geographic Extent: This dataset and derived products encompass an area covering approximately 947 square miles located in Jefferson and Wheeler Counties, Oregon. Original Dataset Description: Lidar flight line swaths were processed to create 3,148 classified files delineated in 3000ft x 3000ft tiles. Each LAS file contains Lidar point information which has been calibrated, controlled, and classified. Data was adjusted to ground using 19 surveyed ground control locations. Conditions at time of acquisition: free of snow, smoke, fog and cloud cover. This data was provided to the NOAA Office for Coastal Management (OCM) by DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. This data set contains point cloud data(' in LAZ (compressed LAS) format', ''). The data may have been reprojected or otherwise modified from the original data in an automated process. Disregard projection information in this abstract and refer to the spatial reference section. purpose: The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the Oregon Department of Forestry contract. The Lidar point cloud data was used to create classified lidar LAS files, hydro-flattened DEMs, and highest hit surface models, within the study area. credit: DOGAMI, ODF, GeoTerra, Inc. The custom download may be cited as National Oceanic and Atmospheric Administration (NOAA) Digital Coast Data Access Viewer. Charleston, SC: NOAA Office for Coastal Management. Accessed 2026-02-23 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 descriptiveKeywords: (MD_Keywords) keyword: EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Science Keywords date: (missing) edition: 17.0 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 type: (MD_KeywordTypeCode) place thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Location Keywords date: (missing) edition: 20.8 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: 17.2 descriptiveKeywords: (MD_Keywords) keyword: Airplane > Airplane type: (MD_KeywordTypeCode) platform thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Platform Keywords date: (missing) edition: 17.2 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: This data set was compiled dynamically. It will be removed 10 days after 2026-02-23 from the NOAA system. Cite As: OCM Partners, [Date of Access]: 2022 ODF Lidar: Private Forest Accords, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/79315. 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) useConstraints: (MD_RestrictionCode) license otherConstraints: Anchor: Universal (CC0 1.0) Public Domain Dedication To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset. resourceConstraints: (MD_LegalConstraints) accessConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: This data set was compiled dynamically. It will be removed 10 days after 2026-02-23 from the NOAA system. Access Constraints: None resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: This data set was compiled dynamically. It will be removed 10 days after 2026-02-23 from the NOAA system. 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. resourceConstraints: (MD_LegalConstraints) useLimitation: (MD_RestrictionCode) otherRestrictions otherConstraints: This data set was compiled dynamically. It will be removed 10 days after 2026-02-23 from the NOAA system. 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: 2022 ODF Lidar DEM: Private Forest Accords, OR date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 79317 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: 79315 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/79315.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 spatialResolution: (MD_Resolution) distance: Distance: .29 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: Optech LMS, Novatel Inertial Explorer v8.9, Microstation CONNECT, TerraScan Version 19, TerraMatch Version 19, ESRI ArcGIS 10.3, ESRI ArcGIS Pro 3.0, Geocue LP360, Windows 10 Operating System extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -121.047221 eastBoundLongitude: -119.661076 southBoundLatitude: 44.40862 northBoundLatitude: 44.994219 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: | Currentness: Ground Condition beginPosition: 2022-09-23 endPosition: 2022-10-13 supplementalInformation: Ground Control was acquired by GeoTerra, Inc. All lidar data acquisition, calibration, and follow-on processing were completed by GeoTerra, Inc. The following are the USGS lidar fields in JSON: { "ldrinfo " :{ "ldrspec " :" Lidar acquisition at > 8 points per square meter with delivery of classified points in LAS format with derivative Raster products for Contract ODF-1109A-20, Task Order #4. ", "ldrsens " :" Teledyne Optech Galaxy Prime ", "ldrmaxnr " :" 8 ", "ldrnps " :" 0.35 m ", "ldrdens " :" 8 ppsm ", "ldranps " :" 0.35 m ", "ldradens " :" 11.7 ppsm ", "ldrfltht " :" 1951 m ", "ldrfltsp " :" 120 kts ", "ldrscana " :" 20 ", "ldrscanr " :" 73 Hz ", "ldrpulsr " :" 600 kHz ", "ldrpulsd " :" 3 ns ", "ldrpulsw " :" 0.31 m ", "ldrwavel " :" 1064 nm ", "ldrmpia " :" 7 ", "ldrbmdiv " :" 0.16 mrad ", "ldrswatw " :" 1442 m ", "ldrswato " :" 55% ", "ldrgeoid " :" Geoid 18 " }, "ldraccur " :{ "ldrchacc " :" 0.00 ", "rawnva " :" 0 ", "rawnvan " :" 0 " }, "lasinfo " :{ "lasver " :" 1.4 ", "lasprf " :" 7 ", "laswheld " :" Withheld (ignore) points are identified in these files using the standard LAS Withheld bit. ", "lasolap " :" Overlap bit flag was not used. ", "lasintr " :" 16 ", "lasclass " :{ "clascode " :" 1 ", "clasitem " :" Processed, but Unclassified " }, "lasclass " :{ "clascode " :" 2 ", "clasitem " :" Bare earth ground " }, "lasclass " :{ "clascode " :" 7 ", "clasitem " :" Low Noise " }, "lasclass " :{ "clascode " :" 9 ", "clasitem " :" Water " }, "lasclass " :{ "clascode " :" 17 ", "clasitem " :" Bridge Decks " }, "lasclass " :{ "clascode " :" 18 ", "clasitem " :" High Noise " }, "lasclass " :{ "clascode " :" 20 ", "clasitem " :" Ignored Ground Near Breaklines " } } } return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: (inapplicable) version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: LAS/LAZ - LASer version: (missing) fileDecompressionTechnique: LAZ 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=13984 /details/13984 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/geoid18/13984/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 return to top dataQualityInfo: (DQ_DataQuality) scope: (DQ_Scope) level: (MD_ScopeCode) dataset report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Horizontal Positional Accuracy evaluationMethodDescription: Data was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.64 ft (19.5 cm) RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 1.57 ft (47.9 cm) at a 95% confidence level. result: (missing) report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Vertical Positional Accuracy evaluationMethodDescription: This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.33 ft (10 cm) RMSEz Vertical Accuracy Class equating to NVA = +/- 0.65 ft (19.8 cm) at 95% confidence level and VVA = +/- 0.99 ft (30 cm) at the 95th percentile. result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: Acquired Lidar and resulting classified LAS files were deigned to meet or exceed a vertical accuracy of RMSEz 0.1 meter. All data is seamless from one tile to the next and contain no gaps or data voids. result: (missing) lineage: (LI_Lineage) statement: This data was provided to the NOAA Office for Coastal Management (OCM) by the DOGAMI (Oregon Department of Geology and Mineral Industries), for the purpose of making the data publicly available for custom and bulk downloads from the NOAA Digital Coast Data Access Viewer. processStep: (LI_ProcessStep) description: Lidar Pre-Processing: 1. Review all flight data to ensure accuracy of the laser points and complete coverage of the project area. 2. Perform corrections for aircraft position data using Precise Point Positioning (PPP) method. 3. Develop a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with sensor head position and attitude recorded throughout the survey. 4. Calculate laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Create raw laser point data for the entire survey in *.las format. Convert data to orthometric elevations by applying a Geoid 18 correction. 5. Import raw point data into three manageable blocks to perform relative accuracy calibration and filter erroneous points. Auto-classify ground points for individual flight lines. 6. Perform automated line-to-line calibrations for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calculate calibrations on ground classified points from paired flight lines and apply results to all points in a flight line. Calculate relative line-to-line data accuracy after final adjustment. 7. Apply final positional adjustment to the point cloud by comparing ground classified points to surveyed ground control points. dateTime: DateTime: 2023-01-30T00:00:00 processStep: (LI_ProcessStep) description: Lidar Post-Processing: 1. Classify data to ground and other client designated classifications using site-specific algorithms. 2. Manually QC data classification. dateTime: DateTime: 2023-01-30T00:00:00 processStep: (LI_ProcessStep) description: The NOAA Office for Coastal Management (OCM) received 3148 laz files from DOGAMI. The files were in OR Statewide Lambert NAD83(2011) international feet coordinates and the elevations were in NAVD88 (GEOID18) international feet. The LAZ files had these classifications: 1 = unclassified; 2 = ground (or Bare Earth); 7 = low noise; 9 = water; 17 = bridges; 18=high noise; 20 = ignored ground. NOAA OCM processed all of the point classes to the Digital Coast Data Access Viewer (DAV). OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges. 2. Internal OCM scripts were run on the LAZ files to: a. Convert from orthometric (NAVD88) elevations to ellipsoid elevations using the GEOID18 model b. Convert from OR Statewide Lambert NAD83(2011) international feet coordinates to geographic coordinates c. Convert from elevations in feet to elevations in meters d. Assign the geokeys, to sort the data by gps time and zip the data to database and to AWS S3. dateTime: DateTime: 2026-02-19T00:00:00 processor: (CI_ResponsibleParty) organisationName: NOAA Office for Coastal Management contactInfo: (CI_Contact) 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: LAZ Files date: (CI_Date) date: 2023-01-01 dateType: (CI_DateTypeCode) publication citedResponsibleParty: (CI_ResponsibleParty) organisationName: Oregon Dept. of Geology and Mineral Industries (DOGAMI) role: (CI_RoleCode) originator processStep: (LI_ProcessStep) description: The dataset has been mosaiced, reprojected, and clipped as needed from the original input files using PDAL and GDAL commands. dateTime: DateTime: 2026-02-23 processor: (CI_ResponsibleParty) individualName: NOAA Office for Coastal Management contactInfo: (CI_Contact) address: (CI_Address) electronicMailAddress: coastal.info@noaa.gov role: (CI_RoleCode) processor | |