| 2023 NOAA USGS Lidar: Hawaii (Big Island) | referenceSystemInfo|
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| (MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:75958 language: LanguageCode: eng characterSet: (MD_CharacterSetCode) UTF8 hierarchyLevel: (MD_ScopeCode) dataset hierarchyLevelName: Elevation contact: (CI_ResponsibleParty) organisationName: Office for Coastal Management 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: 2025-05-23T12:53:09 metadataStandardName: ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data metadataStandardVersion: ISO 19115-2:2009(E) return to top referenceSystemInfo: (MD_ReferenceSystem) referenceSystemIdentifier: (RS_Identifier) authority: (CI_Citation) title: NAD83(PA11) / UTM zone 5N 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/6635/export/?format=gml role: (missing) code: urn:ogc:def:crs:EPSG:6635 version: 6.18.3 return to top spatialRepresentationInfo: return to top identificationInfo: (MD_DataIdentification) citation: (CI_Citation) title: 2023 NOAA USGS Lidar: Hawaii (Big Island) date: (CI_Date) date: 2023 dateType: (CI_DateTypeCode) creation date: (CI_Date) date: 2025 dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 75958 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inport/item/75958 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://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_3_B20/ept.json protocol: WWW:LINK-1.0-http--link name: USGS 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://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/USGS_HI_NOAAMauiOahu_2020_B20_Project_Report.pdf protocol: WWW:LINK-1.0-http--link name: USGS Project Report description: Link to the USGS Project Report that provides information about the project, vertical accuracy results, and the point classes and sensors used. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/HI_NOAAMauiOahu_3_B20/reports/HI_NOAAMauiOahu_3_B20_Lidar_Mapping_Report.pdf protocol: WWW:LINK-1.0-http--link name: Lidar Report description: Link to the lidar report. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/metadata/HI_NOAAMauiOahu_2020_B20/HI_NOAAMauiOahu_3_B20/ protocol: WWW:LINK-1.0-http--link name: USGS Additional Info description: Link to the reports, breaklines, metadata, and spatial metadata. function: (CI_OnLineFunctionCode) download role: (inapplicable) citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://usgs.entwine.io/data/view.html?r=%22https://s3-us-west-2.amazonaws.com/usgs-lidar-public/HI_NOAAMauiOahu_3_B20%22 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 Dataset Product: Processed, classified lidar point cloud data tiles in LAZ 1.4 format. Original Dataset Geographic Extent: HI_NOAAMauiOahu_3: The work unit covers approximately Approximately 306 square miles on the eastern side of the big island of Hawaii. Original Dataset Description: HI_NOAAMauiOahu_3 (Big Island) The HI_NOAAMauiOahu_3_B20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected an aggregate nominal pulse spacing (ANPS) of 0.35-meters and 8 points per square meter (ppsm). Project specifications were based on the National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0). The data was developed based on a horizontal reference system of NAD83 (PA11), UTM 5 (EPSG 6635), Meter, and a vertical reference system of NAVD88 (GEOID12B), Meter. Lidar data was delivered as processed LAZ 1.4 files formatted to 3,450 individual 500-meters x 500-meters tiles. Note: Between 2020 and 2023 multiple mobilizations were made to collect the data in the project area due to the extreme terrain and persistent low clouds. On March 31, 2023, it was decided between Woolpert and USGS to end the acquisition phase of the project and move onto processing with the data collected. The DPA and work unit has been clipped to the extent of the data collected. Areas of low point density and/or small data voids within the work unit have been identified with low confidence polygons. Original Dataset Ground Conditions: HI_NOAAMauiOahu_3 (Big Island) Lidar was collected from February 14, 2023, through March 15, 2023 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established ground control points that were used to calibrate the lidar to known ground locations established throughout the entire project area. An additional independent accuracy checkpoints were collected throughout the entire project area and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data. 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: This project will support USGS and the 3DEP mission, FEMA, and state and local agencies. credit: Woolpert, NOAA, USGS 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 2025-06-23 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 graphicOverview: (MD_BrowseGraphic) fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/10334/supplemental/hi2023_bigisland_m10334.kmz fileDescription: This graphic displays the footprint for this lidar data set. fileType: kmz 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 keyword: CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > HAWAII keyword: OCEAN > PACIFIC OCEAN > CENTRAL PACIFIC OCEAN > HAWAIIAN ISLANDS > HAWAII ISLAND 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: DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce type: (MD_KeywordTypeCode) dataCentre thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Data Center Keywords date: (CI_Date) date: 2017-04-24 dateType: (CI_DateTypeCode) publication edition: 8.5 citedResponsibleParty: GCMD Landing Page descriptiveKeywords: (MD_Keywords) keyword: Lidar 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 2025-06-23 from the NOAA system. Cite As: Office for Coastal Management, [Date of Access]: 2023 NOAA USGS Lidar: Hawaii (Big Island) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/75958. 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: This data set was compiled dynamically. It will be removed 10 days after 2025-06-23 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 2025-06-23 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. Acknowledgement of the U.S. Geological Survey would be appreciated for products derived from these data. Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user's sole risk. resourceConstraints: (MD_LegalConstraints) useLimitation: (MD_RestrictionCode) otherRestrictions otherConstraints: This data set was compiled dynamically. It will be removed 10 days after 2025-06-23 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 - 2023 NOAA USGS Lidar DEM: HI (Kahoolawe, Lanai, Maui, Molokai, Oahu) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 75971 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2022 - 2023 NOAA USGS Lidar: Hawaii (Kahoolawe, Lanai, Maui, Molokai, Oahu) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 75941 associationType: (DS_AssociationTypeCode) crossReference aggregationInfo: (MD_AggregateInformation) aggregateDataSetName: (CI_Citation) title: 2023 NOAA USGS Lidar DEM: Hawaii (Big Island) date: (unknown) identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: 75960 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: 75958 citedResponsibleParty: (CI_ResponsibleParty) organisationName: (inapplicable) contactInfo: (CI_Contact) onlineResource: (CI_OnlineResource) linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/75958.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 language: eng; US topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: Microsoft Windows 10, ArcMap 10.7, ArcCatalog 10.7, TerraScan ver. 23, TerraModeler ver. 23, LP360, LAStools. extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -155.433659 eastBoundLongitude: -154.830943 southBoundLatitude: 19.252617 northBoundLatitude: 19.77762 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: Dates of collection for the big Island of Hawaii | Currentness: Ground Condition beginPosition: 2023-02-14 endPosition: 2023-03-15 supplementalInformation: USGS Contract No. G16PC00022, Task Order No. 140G0220F0290, Project Name: HI_NOAAMauiOahu_B20. Contractor: Woolpert. The following are the USGS lidar fields in JSON: { "ldrinfo" : { "ldrspec" : " National Geospatial Program Lidar Base Specification Version 2.1, and the American Society of Photogrammetry and Remote Sensing (ASPRS) Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0), "ldrsens" : "RIEGL VQ-780 II-S", "ldrmaxnr" : "14", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "1600", "ldrfltsp" : "160", "ldrscana" : "30", "ldrscanr" : "Variable", "ldrpulsr" : "2000", "ldrpulsd" : "3", "ldrpulsw" : "0.0064", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.2", "ldrswatw" : "1600 - 1800", "ldrswato" : "40", "ldrgeoid" : "GEOID12B" }, "ldrinfo" : { Positional Accuracy Standards for Digital Geospatial Data (Edition 1, Version 1.0), "ldrsens" : "Optech Galaxy Prime", "ldrmaxnr" : "8", "ldrnps" : "0.35", "ldrdens" : "8", "ldranps" : "0.35", "ldradens" : "8", "ldrfltht" : "750", "ldrfltsp" : "90", "ldrscana" : "40", "ldrscanr" : "50", "ldrpulsr" : "300", "ldrpulsd" : "3.3", "ldrpulsw" : "1", "ldrwavel" : "1064.5", "ldrmpia" : "1", "ldrbmdiv" : "0.25", "ldrswatw" : "545", "ldrswato" : "30", "ldrgeoid" : "GEOID12B" }, "ldraccur" : { "ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : { "lasver" : "1.4", "lasprf" : "6", "laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.", "lasolap" : "The overlap bit flag is not to be used for lidar point clouds intended for inclusion in 3DEP data holdings.", "lasintr" : "16", "lasclass" : { "clascode" : "1", "clasitem" : "Processed but not classified" }, "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" } }} 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=10334/details/10334 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/geoid12b/10334/index.html protocol: WWW:LINK-1.0-http--link name: Bulk Download description: Bulk download of data files in LAZ format, UTM Zone 5N NAD83 (PA11), meters coordinates and elevations in GPS-derived orthometric height via GEOID model using GEOID12B in meters. 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: This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.11 m RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 0.29 m 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 Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined Vertical Accuracy NVA = 7.07 cm RMSE VVA = 28.49 cm at 95th percentile For more information see the USGS project report and the lidar reports. The links to these reports are provided in the URL section of this metadata record. result: (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: These LAS data files include all data points collected. No points have been removed or excluded. 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: Data covers the entire area specified for this project. result: (missing) lineage: (LI_Lineage) statement: This data was collected for NOAA and the USGS by Woolpert. The NOAA Office for Coastal Management (OCM) received a copy of the data from Woolpert and processed the data to make it available for custom download from the NOAA Digital Coast Data Access Viewer and for bulk download from AWS S3. processStep: (LI_ProcessStep) description: After acquisition QC was complete, a formal reduction process was performed. Boresight calibrations (omega, phi, kappa) are performed, and a block adjustment is made to ensure relative accuracy. The laser point position was then calculated by associating the SBET position to each laser point return time, scan angle, intensity, etc. Raw laser point cloud data was created for the whole project area in LAS format with each point containing the corresponding scan angle, return number (echo), intensity, and x, y, and z information. Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift to test the relative calibration. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration. Statistical reports were generated for comparison and used to make the necessary adjustments to remove any residual systematic error. dateTime: DateTime: 2024-07-26T00:00:00 processStep: (LI_ProcessStep) description: Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.35 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information. dateTime: DateTime: 2024-07-26T00:00:00 processStep: (LI_ProcessStep) description: During the initial quality check, the lidar data was processed immediately following acquisition to verify the coverage has appropriate density, distribution, and no unacceptable data voids. The spatial distribution of the geometrically usable first return lidar points was reviewed for density by verifying the points spaced so that 90% of the cells in a 2*NPS grid placed over the data contain at least one lidar point. The Nominal Point Spacing (NPS) assessment was conducted against single swath, first return data located within the geometrically usable center portion (typically ~90%) of each swath. The data coverage was reviewed for unacceptable data voids to determine no area greater than or equal to (4 x ANPS)² exhibited data coverage gaps. dateTime: DateTime: 2024-07-26T00:00:00 processStep: (LI_ProcessStep) description: Maximum Surface Height Rasters (MSHR) is a proof of performance check that the withheld bit flag was used properly in the point cloud. Using all returns in the point cloud and excluding any points flagged as withheld, a raster is generated at twice the pixel size as the DEM deliverable using the same delivery tile index. This raster is generated as a 32-bit floating-point GeoTIFF with each pixel being generated as highest-hit elevation. The raster is then visually reviewed for anomalies that might indicate improperly classified noise. Any issues encountered are then corrected in the point cloud and a new/updated raster is generated. 5,044 files were produced and clipped to the DPA. The GSD for the surface is 1 meter, which is two times the DEM cell size. dateTime: DateTime: 2024-07-26T00:00:00 processStep: (LI_ProcessStep) description: The Swath Separation Imagery (SSI) was generated to visualize the DZ between the overlapping areas of the flight lines. To generate this surface a point insertion method was applied as the primary algorithm. Last returns were used, and points flagged as withheld or classified as noise were excluded. A GeoTIFF was generated, and the color ramp is based on a QL1 data product. The GSD for the raster is 1 meter, which is two times the DEM post spacing. Intensity values were modulated to 50% to ensure that there is no oversaturation of intensities values throughout the surface. After all calculations and surfaces were made, 5,044 files were produced and clipped to the data extent. The color ramp for the swath separation image is as follows: Less than 8-cm: Green, 8 to 16-cm: Yellow, 16-24-cm: Orange, Greater than 24-cm: Red. dateTime: DateTime: 2024-07-26T00:00:00 processStep: (LI_ProcessStep) description: The laz files were received by the NOAA Office for Coastal Management (OCM). The files were in laz format, UTM Zone 5N (NAD83 PA11), meters coordinates and in NAVD88 (GEOID12B), meters elevations. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV), the classes available on the DAV are: 1, 2, 9, 17, 20. (Class 7 and 18 points were removed because the withheld bit flag was set). 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 NAD83 (2011) ellipsoid elevations using the GEOID12B model b. Convert the laz files from UTM Zone 5N (NAD83 PA11), meters coordinates to geographic coordinates c. Remove Class 7 and 18 points because the withheld bit flag was set. d. Assign the geokeys, sort the data by gps time and zip the data to database and to S3 AWS. dateTime: DateTime: 2025-05-20T00:00:00 processor: (CI_ResponsibleParty) organisationName: Office for Coastal Management role: (CI_RoleCode) processor source: (LI_Source) sourceCitation: (CI_Citation) title: LAZ Files date: (missing) citedResponsibleParty: (CI_ResponsibleParty) organisationName: NOAA/USGS/Woolpert 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: 2025-06-23 processor: (CI_ResponsibleParty) individualName: NOAA Office for Coastal Management contactInfo: (CI_Contact) address: (CI_Address) electronicMailAddress: coastal.info@noaa.gov role: (CI_RoleCode) processor | |