| 2016 USGS Lidar DEM: West Washington | identificationInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:52295 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: 2026-03-04T19:17:17 metadataStandardName: ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data metadataStandardVersion: ISO 19115-2:2009(E) return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2016 USGS Lidar DEM: West Washington alternateTitle: wa2016_west_wa_dem_8481_metadata date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 52295 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inport/item/52295 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/laz/geoid12b/6331/breaklines/ protocol: WWW:LINK-1.0-http--link name: Citation URL description: Hydro breaklines function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/ protocol: WWW:LINK-1.0-http--link name: NOAA's Office for Coastal Management (OCM) website description: Information on the NOAA Office for Coastal Management (OCM) function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=6331 protocol: WWW:LINK-1.0-http--link name: Citation URL description: Link to custom download the lidar point data from which these raster Digital Elevation Model (DEM) data were created. 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/geoid12b/6331/supplemental/wa2016_west_wa_m6331_lidar_report.pdf protocol: WWW:LINK-1.0-http--link name: Dataset report description: Link to data set report. 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) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://coast.noaa.gov/digitalcoast/data/home.html protocol: WWW:LINK-1.0-http--link name: NOAA's Office for Coastal Management (OCM) Digital Coast Data section description: The website provides not only coastal data, but also the tools, training, and information needed to make these data truly useful. Content comes from many sources, all of which are vetted by NOAA. function: (CI_OnLineFunctionCode) download role: (inapplicable) presentationForm: (unknown) abstract: In March 2016, Quantum Spatial (QSI) was contracted by the United States Geological Survey (USGS), in collaboration with the Washington Department of Natural Resources (WADNR), to collect Light Detection and Ranging (LiDAR) data for the Western Washington 3DEP QL1 LiDAR project site in the state of Washington. The Western Washington 3DEP LiDAR project area covers approximately 3.5 million acres within portions of thirteen counties in the state of Washington. Dataset Description: RAW flight line swaths were processed to create 13206 classified LAS 1.4 files delineated in 1/100th USGS Quadrangle tiles. Each LAS file contains LiDAR point information, which has been calibrated, controlled, and classified. Additional derived products include intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area. Ground Conditions: Data was collected during the time when the least ground snow coverage was present in the area. Areas where snow was observed have been delineated in a provided snow polygon shapefile. Acquisition below aircraft free of smoke, fog and cloud cover. The NOAA Office for Coastal Management (OCM) downloaded the WA_Western-North_2016 and WA_Western-South_2016 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/ and processed the data to the Data Access Viewer (DAV) and https. In addition to these bare earth Digital Elevation Model (DEM) data, the lidar point data that these DEMs were created from, are also available. These data are available for custom download at the link provided in the URL section of this metadata record. Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. purpose: The purpose of the lidar data was to produce a high accuracy 3D dataset that meets all necessary standards laid out by the 3DEP initiative. The raw lidar point cloud data were used to create classified lidar LAS files, intensity images, hydro-flattened DEMs, highest hit surface models, and 3D breaklines of rivers and lakes within the study area. credit: Quantum Spatial, Inc. coordinated the LiDAR acquisition and processed the data, USGS, Washington DNR. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. 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/geoid12b/6331/supplemental/wa2016_west_wa_m6331.kmz fileDescription: Link to data set footprint. fileType: KML descriptiveKeywords: (MD_Keywords) keyword: EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION keyword: EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION type: (MD_KeywordTypeCode) theme thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Science Keywords date: (missing) edition: 17.0 descriptiveKeywords: (MD_Keywords) keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > WASHINGTON 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: DEM keyword: beach keyword: erosion type: (MD_KeywordTypeCode) theme descriptiveKeywords: (MD_Keywords) keyword: DEMs - 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]: 2016 USGS Lidar DEM: West Washington [Data Date Range], https://www.fisheries.noaa.gov/inport/item/52295. 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 otherConstraints: Access Constraints: None resourceConstraints: (MD_LegalConstraints) useConstraints: (MD_RestrictionCode) otherRestrictions otherConstraints: 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: Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of Quantum Spatial, Inc., USGS, WA DNR, 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: 52295 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/52295.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 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: RiProcess v1.7.2, Applanix PosPac 7.1 SP 3, Microstation Version 8, TerraScan Version 16, TerraModeler Version 16, TerraMatch Version 16, ESRI ArcGIS 10.2, Windows 7 Operating System extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -123.892239 eastBoundLongitude: -120.697868 southBoundLatitude: 45.539222 northBoundLatitude: 49.024049 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: North: March 17 - Sept 30, 2016 South: March 17, 2016 - June 6, 2017 | Currentness: Ground Condition beginPosition: 2016-03-17 endPosition: 2017-06-06 supplementalInformation: CONTRACTOR: Quantum Spatial, Inc. Ground Control Points were acquired and calibrated by Quantum Spatial, Inc. Data acquisition was coordinated by Quantum Spatial and all Lidar data calibration, and follow-on processing were completed by Quantum Spatial. The following are the USGS lidar fields in JSON: { "lidar" : { "ldrinfo" : { "ldrspec" : "U.S. Geological Survey National Geospatial Program LIDAR Base Specification, Version 1.2", "ldrsens" : "Riegl LMS-Q1560 and Leica ALS80- settings below are max", "ldrmaxnr" : "15", "ldrnps" : "0.7 m", "ldrdens" : "4", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1900m", "ldrfltsp" : "150", "ldrscana" : "60", "ldrscanr" : "187", "ldrpulsr" : "800", "ldrpulsd" : "3", "ldrpulsw" : "0.899", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "2100", "ldrswato" : "60", "ldrcrs" : "NAD_1983_HARN_WASP_S", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid03" }, "ldraccur" : { "ldrchacc" : "0.5", "rawnva" : "0.080 m", "rawnvan" : "182" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld points are identified in these files using the standard LAS witheld bit", "lasolap" : "Swath overage points are identified in these files using the standard LAS Witheld and Overlap bits", "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" : "10", "clasitem" : "Ignored Ground Near Breakline" }, "lasclass" : { "clascode" : "17", "clasitem" : "Bridge Decks" }, "lasclass" : { "clascode" : "21", "clasitem" : "Temporal Snow" }, "lasclass" : { "clascode" : "22", "clasitem" : "Temporal Ground" }, "lasclass" : { "clascode" : "23", "clasitem" : "Temporal Default" } } }} return to top distributionInfo: (MD_Distribution) 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=8481 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. function: (CI_OnLineFunctionCode) download transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/WA_Western_WA_DEM_2016_8481/index.html protocol: WWW:LINK-1.0-http--link name: Bulk Download description: Bulk download of data files. function: (CI_OnLineFunctionCode) download return to top dataQualityInfo: (DQ_DataQuality) scope: (DQ_Scope) level: (MD_ScopeCode) dataset report: (DQ_AbsoluteExternalPositionalAccuracy) nameOfMeasure: Vertical Positional Accuracy evaluationMethodDescription: The specifications require that raw Non-vegetated Vertical Accuracy (NVA) be computed from the both the raw lidar point cloud swath files and the derived DEMs. Additionally, Vegetated Vertical Accuracy (VVA) is also to be computed from the derived DEMS. The NVA was tested with 182 independent check points located in open terrain, and distributed throughout the project as feasible. These check points were not used in the calibration or post processing of the lidar point cloud data. The VVA was tested with 115 independent check points located in vegetated terrain, also witheld from the calibration and post processing of the lidar point cloud data and distributed throughout the project area as feasible. Specifications for this project require that the NVA be 0.196 meters or better AccuracyZ at the 95% confidence level and that the VVA be 29.4 cm or better AccuracyZ at the 95th percentile. 0.080 meters AccuracyZ at the 95 percent Confidence Interval for Raw LAS NVA. 0.081 meters AccuracyZ at the 95 percent Confidence Interval for DEM NVA. The 182 independent NVA check points were surveyed using the closed level loop technique. Elevations interpolated from the unclassified lidar surface were compared to the elevation values of the surveyed NVA check points. The RMSE was computed to be 0.041 meters resulting in an AccuracyZ at the 95% confidence level of 0.080 meters. The 182 NVA check points were also compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.042 meters resulting in an AccuracyZ of 0.081 meters at the 95% confidence level. NVA AccuracyZ has been tested and meets the required 0.196 meter NVA at 95% confidence level using (RMSEz * 1.9600) for both the raw lidar point cloud and derived DEMs, as defined by the National Standards for Spatial Data Accuracy (NSSDA) and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. 0.207 meters AccuracyZ at the 95th percentile for DEM VVA. The 115 VVA check points were also surveyed using the closed level loop technique. Elevations for these points were compared to the elevations of the derived bare earth DEMs. The RMSE was computed to be 0.112 meters resulting in an AccuracyZ of 0.207 meters at the 95th percentile. AccuracyZ has been tested on the derived bare earth DEMs and meets the required 29.4 meter VVA using the 95th percentile of the absolute value of all vertical errors in all combined vegetation classes as defined by the National Standards for Spatial Data Accuracy (NSSDA); and herein reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines. result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: LAS files include all data points collected. No points have been removed or excluded. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, and shifting. LiDAR flight lines have been examined to ensure consistent elevation values across overlapping flight lines. The raw point cloud is of good quality and data passes Vertical Accuracy specifications. result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: LAS files were tested by QSI for both vertical and horizontal accuracy. All data is seamless from one tile to the next. result: (missing) lineage: (LI_Lineage) statement: (missing) processStep: (LI_ProcessStep) description: LiDAR Pre-Processing: 1. Review flight lines and data to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Resolve kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. 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 cloud data for the entire survey in *.las format. Convert data to orthometric elevations by applying a geoid03 correction. 5. Import raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter erroneous points. Classify ground points for individual flight lines. 6. Using ground classified points per each flight line, test the relative accuracy. 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. Use every flight line for relative accuracy calibration. 7. Adjust the point cloud by comparing ground classified points to supplemental ground control points. dateTime: DateTime: 2017-08-31T00:00:00 processStep: (LI_ProcessStep) description: LiDAR Post-Processing: 1. Classify data to ground and other client designated classifications using proprietary classification algorithms. 2. Manually QC data classification 3. After completion of classification and final QC approval, calculate NVA and VVA, and density information for the project using ground control quality check points. dateTime: DateTime: 2017-08-31T00:00:00 processStep: (LI_ProcessStep) description: Hydroflattening Breaklines and Hydroflattened DEM creation: Water boundary polygons were developed using an algorithm which weights LiDAR-derived slopes, intensities, and return densities to detect the water's edge. The water's edge was then manually reviewed and edited as necessary. Elevations were assigned to the water’s edge through neighborhood statistics identifying the lowest LiDAR return from the water surface. Lakes were assigned a consistent elevation for an entire polygon while rivers were assigned consistent elevations on opposing banks and smoothed to ensure downstream flow through the entire river channel. These breaklines were incorporated into the hydro-flattened DEM by enforcing triangle edges (adjacent to the breakline) to the elevation values derived from the breakline. This implementation corrected interpolation along the hard edge. Breaklines were also used to classify all ground points within the identified water bodies to class 9 (water). dateTime: DateTime: 2017-08-31T00:00:00 processStep: (LI_ProcessStep) description: The NOAA Office for Coastal Management (OCM) downloaded 793 WA_Western-North_2016 and WA_Western-South_2016 Digital Elevation Model (DEM) files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/OPR/. The data were in WA State Plane South coordinates and NAVD88 (Geoid03) elevations in feet. The bare earth raster files were at a 3 ft grid spacing. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted the raster files from elevations in feet to meters using gdal_translate 2. Copied the files to https. dateTime: DateTime: 2018-03-02T00:00:00 processor: (CI_ResponsibleParty) organisationName: Office for Coastal Management role: (CI_RoleCode) processor source: (LI_Source) description: Source Contribution: This data source was used (along with the airborne GPS/IMU data) to georeference the LiDAR point cloud data. sourceCitation: (CI_Citation) title: Base Station Control date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017-08-31 source: (LI_Source) description: Source Contribution: This data source was used to assess the accuracy of LiDAR point cloud data. sourceCitation: (CI_Citation) title: Ground Control Quality Check Points date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017-08-31 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 date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimePeriod: beginPosition: 2016-03-17 endPosition: 2017-06-06 source: (LI_Source) sourceCitation: (CI_Citation) title: Originator of Data date: (CI_Date) date: 2018-02-01 dateType: (CI_DateTypeCode) publication source: (LI_Source) description: Source Contribution: This data source was used (along with base station control data) to georeference the LiDAR point cloud data. sourceCitation: (CI_Citation) title: Smooth Best Estimate Trajectories date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017-08-31 source: (LI_Source) description: Source Contribution: This data source was used to refine lidar positional accuracy during the calibration process. sourceCitation: (CI_Citation) title: Supplemental Ground Control Points date: (CI_Date) date: 2017-08-31 dateType: (CI_DateTypeCode) publication sourceExtent: (EX_Extent) temporalElement: (EX_TemporalExtent) extent: TimeInstant: timePosition: 2017-08-31 | |