Text View of ISO 19115/19115-2 Metadata with Links to Guidance on NOAA EDM Wiki

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contentInfo
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2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA
(MI_Metadata) fileIdentifier: gov.noaa.nmfs.inport:57930 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) deliveryPoint: 2234 South Hobson Avenue city: Charleston administrativeArea: SC postalCode: 29405-2413 onlineResource: (CI_OnlineResource) linkage: https://www.coast.noaa.gov/ protocol: WWW:LINK-1.0-http--link name: Website description: Website for this organization function: (CI_OnLineFunctionCode) information 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: Website description: NOAA Office for Coastal Management Home Page function: (CI_OnLineFunctionCode) information role: (CI_RoleCode) pointOfContact dateStamp: DateTime: 2019-10-10T09:03:39 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: 2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA date: (CI_Date) date: (missing) dateType: (CI_DateTypeCode) publication identifier: (MD_Identifier) authority: (CI_Citation) title: NOAA/NMFS/EDM date: (inapplicable) code: Anchor: InPort Catalog ID 57930 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: These data represent integrated lidar and sonar gridded surface data. Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system. QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report. Interpolated DEM dataset-These DEMs represent a continuous surface with all void areas interpolated. No void layer was incorporated into this DEM and there are no areas of No Data, regardless of whether the LiDAR data fully penetrated to the submerged topography. purpose: Data was collected to aid NOAA in assessing the channel morphology and topobathymetric surface of the study area to support the Morro Bay National Estuary Program in habitat restoration and management. credit: * We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation., National Oceanic and Atmospheric Administration (NOAA), Office of Coastal Management 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: 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: 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://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8893/supplemental/XXXX.kmz fileDescription: This graphic displays the footprint for this lidar data set. fileType: KML descriptiveKeywords: (MD_Keywords) keyword: Bathymetry keyword: beach keyword: DEM keyword: DEM keyword: digital elevation model keyword: erosion keyword: laser keyword: lidar keyword: lidar keyword: Sonar keyword: Topography keyword: Topography type: (MD_KeywordTypeCode) theme descriptiveKeywords: (MD_Keywords) keyword: Earth Science > Land Surface > Topography > Terrain Elevation keyword: Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry > Coastal Bathymetry 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) descriptiveKeywords: (MD_Keywords) keyword: Continent > North America > United States Of America keyword: Vertical Location > Land Surface keyword: Vertical Location > Seafloor type: (MD_KeywordTypeCode) place thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Location Keywords date: (missing) descriptiveKeywords: (MD_Keywords) keyword: California keyword: Morro Bay keyword: U.S. Coastline keyword: United States type: (MD_KeywordTypeCode) place descriptiveKeywords: (MD_Keywords) keyword: Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging type: (MD_KeywordTypeCode) instrument thesaurusName: (CI_Citation) title: Global Change Master Directory (GCMD) Instrument 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: DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce type: (MD_KeywordTypeCode) dataCenter 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: DEMs type: (MD_KeywordTypeCode) project thesaurusName: (CI_Citation) 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 NOAA, the National Geodetic Survey, the Coastal Management Center, or its partners. 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) spatialRepresentationType: (MD_SpatialRepresentationTypeCode) vector language: eng; US topicCategory: (MD_TopicCategoryCode) elevation topicCategory: (MD_TopicCategoryCode) elevation environmentDescription: OS Independent extent: (EX_Extent) geographicElement: (EX_GeographicBoundingBox) westBoundLongitude: -120.875211 eastBoundLongitude: -120.821145 southBoundLatitude: 35.304796 northBoundLatitude: 35.373531 temporalElement: (EX_TemporalExtent) extent: TimePeriod: description: \| Currentness: Ground Condition beginPosition: 2019-05-22 endPosition: 2019-06-19 supplementalInformation: An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report. return to top contentInfo: (MD_FeatureCatalogueDescription) complianceCode: false language: LanguageCode: eng includedWithDataset: false return to top distributionInfo: (MD_Distribution) distributionFormat: (MD_Format) name: Zip version: (missing) fileDecompressionTechnique: Zip distributionFormat: (MD_Format) name: LAZ version: (missing) 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: 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=8893 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 transferOptions: (MD_DigitalTransferOptions) onLine: (CI_OnlineResource) linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8893 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. 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 DEMs are derived from the source LiDAR and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production so that any differences identified between the source LiDAR and final DEMs can be attributed to interpolation differences. DEMs are created by averaging several LiDAR points within each pixel which may result in slightly different elevation values at a given location when compared to the source LAS, which does not average several LiDAR points together but may interpolate (linearly) between two or three points to derive an elevation value. Absolute accuracy was assessed using the Non-Vegetated Vertical Accuracy (NVA) checks. Survey checkpoints were evenly distributed throughout the project area as feasible. NVA compares known ground check point data that were withheld from the calibration and post-processing of the LiDAR point cloud to the triangulated surface generated by the unclassified LiDAR point cloud as well as the derived gridded bare earth DEM. NVA is a measure of the accuracy of LiDAR point data in open areas with level slope (less than 20°) where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96RMSE). In the Morro Bay area 20 survey checkpoints were used to assess the non-vegetated vertical accuracy. Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval. Specifications for this project also require that bathymetric accuracy meet the standard laid out in the National Coastal Mapping Strategy (NCMS) V1.0 for QL2b Bathy Lidar which was estimated to be 30cm at a 95% confidence level. In the Morro Bay area 81 survey checkpoints were used to assess the submerged topography accuracy. Submerged topography checkpoints usually occur in depths up to 1m.Qualitative value:0.052 0.101, Test that produced the value: Using NSSDA and FEMA methodology, the derived DEM non-vegetated vertical accuracy (NVA) at the 95% confidence level (called Accuracyz) was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.052 m vertical accuracy at 95% confidence level against the derived gridded bare earth DEM in open terrain using 20 ground check points, based on RMSEz (0.027 m) x 1.9600. Using NSSDA and FEMA methodology, bathymetric vertical accuracy at the 95% confidence level for submerged topography was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.101 m vertical accuracy at 95% confidence level against the classified points cloud using 81 submerged check points, based on RMSEz (0.052 m) x 1.9600. result:* (missing) report: (DQ_CompletenessCommission) nameOfMeasure: Completeness Report evaluationMethodDescription: Morro Bay DEM data covers 97 tiles (500 m x 500 m tiles). result: (missing) report: (DQ_ConceptualConsistency) nameOfMeasure: Conceptual Consistency evaluationMethodDescription: Not applicable result: (missing) lineage: (LI_Lineage) statement: (missing) processStep: (LI_ProcessStep) description: Data for the NOAA Morro Bay project was acquired by Quantum Spatial (QSI) using a Riegl VQ-880GII Topobathy LiDAR system. Sonar data was collected by Merkel and Associates using a SEA SWATHplus-H sonar system. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. QSI creates an initial product call Quick Look Coverage Maps. These Quick Looks files are not fully processed data or final products. The collected LiDAR data is immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in POSPAC MMS 8.1 and used in RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated classification routines (TerraScan) to develop a rough topobathymetric ground model for an initial assessment of bathymetric coverage. To correct the continuous onboard measurements of the aircraft position recorded throughout the missions, QSI concurrently conducted multiple static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) over established monuments located in or around the project area. After the airborne survey, the static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same monument were processed to confirm antenna height measurements and to refine position accuracy. QSI then resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Sensor head position and attitude are calculated throughout the survey. The SBET data are used extensively for laser point processing. The software Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2017, and PosPac MMS 8.1 SP3 are used for these processes. processStep: (LI_ProcessStep) description: Next, QSI used RiProcess 1.8.5 to calculate laser point positioning of the Riegl VQ-880GII data by associating SBET positions to each laser point return time, scan angle, intensity, etc. A raw laser point cloud is created in Riegl data format and erroneous points are filtered. Data was exported to LAS 1.4 format and are combined into 500 m x 500 m tiles. Data was then further calibrated using TerraScan, TerraModeler, and TerraMatch and a refraction correction was applied to all sub-water surface returns using QSI proprietary LAS Monkey software. QSI used custom algorithms in TerraScan to create the initial ground/submerged topography surface. Relative accuracy of the green swaths was compared to overlapping and adjacent swaths and verified through the use Delta-Z (DZ) orthos created using QSI's DZ Ortho creator. Absolute vertical accuracy of the calibrated data was assessed using ground RTK survey data and complete coverage was again verified. QSI then performed manual editing to review all classification and improve the final topobathymetric surface. A final bathymetric void shape was created after final editing and provided to Merkel and Associates to target for sonar data collection. The acquired sonar was then integrated into the LiDAR dataset to provide a seamless bathymetric model. As a general rule, in areas of overlap sonar data was prioritized in deeper areas of the channel while LiDAR data was prioritized in shallower areas of the channel including all areas not submerged during the LiDAR collection. As the lidar laser approaches the laser’s extinction point bathymetric surface profiles and point density degrade thus the prioritization of sonar data in these areas. Conversely side-scan sonar does better when water depths are greater than 1m as areas shallower than this are prone to increased noise making the lidar data more reliable in these areas. Within the Morro Bay site there was one notable area of significant temporal change. The sand spit at the mouth of the bay displayed a difference as great as 5 meters from the lidar survey. Despite this area being collected at true ground during the lidar survey, the sonar data was used in this area being the most temporally recent data and collected at high tide with high confidence in the surface. All data from either sensor that was not used in model creation is still preserved in the point cloud as Ignored Ground/Bathymetry (class 20). Please see Appendix B of the NOAA Morro Bay Report for more information regarding the sonar acquisition and processing. Final topobathymetric DEMs were created at 1m pixel resolution using ground (class 2) and bathymetry (class 40). processStep: (LI_ProcessStep) description: Interpolated DEM dataset-These DEMs represent a continuous surface with all void areas interpolated. No void layer was incorporated into this DEM and there are no areas of No Data, regardless of whether the LiDAR data fully penetrated to the submerged topography.

2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA

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    metadataStandardVersion: ISO 19115-2:2009(E)
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    identificationInfo: (MD_DataIdentification)
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            title: 2019 NOAA Topobathy Lidar DEM (Interpolated): Morro Bay, CA
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                        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: These data represent integrated lidar and sonar gridded surface data. Quantum Spatial, Inc. (QSI) collected the topobathymetric lidar using a Riegl VQ880GII system on May 22, 2019. Merkel and Associates collected sonar data to provide bathymetric surface modeling in areas lacking lidar coverage. The sonar was collected between June 17th-19th, 2019 using a SEA SWATHplus-H sonar system. QSI performed the lidar/sonar integration. The dataset includes topobathy data in a LAS 1.4 format file with the following classification:1-Unclassified, 1-O (Overlap bit) - Edge clip (geometrically unreliable points at the edge of flightline swaths), 2-Ground, 7-Noise, 9-NIR water surface, 20-Ignored ground and sonar (excluded for seamless model creation), 40-Bathymetric point, 41-Green laser water surface,and 45- Green laser water column in accordance with project specifications. Sonar data has been assigned a Point Source ID of 9 and a User Byte of 2. All other data is lidar-derived. The NOAA Morro Bay area of covers approximately 4,215 acres over Morro Bay, including the Morro Bay Estuary and roughly 3.6 miles of coastline. LAS files were compiled by 500 m x 500 m tiles. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report. Interpolated DEM dataset-These DEMs represent a continuous surface with all void areas interpolated. No void layer was incorporated into this DEM and there are no areas of No Data, regardless of whether the LiDAR data fully penetrated to the submerged topography.
        purpose: Data was collected to aid NOAA in assessing the channel morphology and topobathymetric surface of the study area to support the Morro Bay National Estuary Program in habitat restoration and management.
        credit: *** We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation., National Oceanic and Atmospheric Administration (NOAA), Office of Coastal Management
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            keyword: digital elevation model
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            keyword: Earth Science > Land Surface > Topography > Terrain Elevation
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            keyword: California
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            keyword: Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging
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            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 NOAA, the National Geodetic Survey, the Coastal Management Center, or its partners. 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)
        spatialRepresentationType: (MD_SpatialRepresentationTypeCode) vector
        language: eng; US
        topicCategory: (MD_TopicCategoryCode) elevation
        topicCategory: (MD_TopicCategoryCode) elevation
        environmentDescription: OS Independent
        extent: (EX_Extent)
            geographicElement: (EX_GeographicBoundingBox)
                westBoundLongitude: -120.875211
                eastBoundLongitude: -120.821145
                southBoundLatitude: 35.304796
                northBoundLatitude: 35.373531
            temporalElement: (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description: | Currentness: Ground Condition
                    beginPosition: 2019-05-22
                    endPosition: 2019-06-19
        supplementalInformation: An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. Classes 2 (ground), and 40 (submerged topography) were used to create the final DEMs. The full workflow used for this project is documented in the NOAA Morro Bay final report.
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    contentInfo: (MD_FeatureCatalogueDescription)
        complianceCode: false
        language:
          LanguageCode: eng
        includedWithDataset: false
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    distributionInfo: (MD_Distribution)
        distributionFormat: (MD_Format)
            name: Zip
            version: (missing)
            fileDecompressionTechnique: Zip
        distributionFormat: (MD_Format)
            name: LAZ
            version: (missing)
        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: 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=8893
                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
        transferOptions: (MD_DigitalTransferOptions)
            onLine: (CI_OnlineResource)
                linkage: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8893
                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.
                function: (CI_OnLineFunctionCode) download
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    dataQualityInfo: (DQ_DataQuality)
        scope: (DQ_Scope)
            level: (MD_ScopeCode) dataset
        report: (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure: Vertical Positional Accuracy
            evaluationMethodDescription: The DEMs are derived from the source LiDAR and inherit the accuracy of the source data. The DEMs are created using controlled and tested methods to limit the amount of error introduced during DEM production so that any differences identified between the source LiDAR and final DEMs can be attributed to interpolation differences. DEMs are created by averaging several LiDAR points within each pixel which may result in slightly different elevation values at a given location when compared to the source LAS, which does not average several LiDAR points together but may interpolate (linearly) between two or three points to derive an elevation value. Absolute accuracy was assessed using the Non-Vegetated Vertical Accuracy (NVA) checks. Survey checkpoints were evenly distributed throughout the project area as feasible. NVA compares known ground check point data that were withheld from the calibration and post-processing of the LiDAR point cloud to the triangulated surface generated by the unclassified LiDAR point cloud as well as the derived gridded bare earth DEM. NVA is a measure of the accuracy of LiDAR point data in open areas with level slope (less than 20°) where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96*RMSE). In the Morro Bay area 20 survey checkpoints were used to assess the non-vegetated vertical accuracy. Project specifications require NVA meet 0.196 m accuracy at the 95% confidence interval. Specifications for this project also require that bathymetric accuracy meet the standard laid out in the National Coastal Mapping Strategy (NCMS) V1.0 for QL2b Bathy Lidar which was estimated to be 30cm at a 95% confidence level. In the Morro Bay area 81 survey checkpoints were used to assess the submerged topography accuracy. Submerged topography checkpoints usually occur in depths up to 1m.Qualitative value:0.052 0.101, Test that produced the value: Using NSSDA and FEMA methodology, the derived DEM non-vegetated vertical accuracy (NVA) at the 95% confidence level (called Accuracyz) was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.052 m vertical accuracy at 95% confidence level against the derived gridded bare earth DEM in open terrain using 20 ground check points, based on RMSEz (0.027 m) x 1.9600. Using NSSDA and FEMA methodology, bathymetric vertical accuracy at the 95% confidence level for submerged topography was computed by the formula RMSEz x 1.9600. Morro Bay dataset tested 0.101 m vertical accuracy at 95% confidence level against the classified points cloud using 81 submerged check points, based on RMSEz (0.052 m) x 1.9600.
            result: (missing)
        report: (DQ_CompletenessCommission)
            nameOfMeasure: Completeness Report
            evaluationMethodDescription: Morro Bay DEM data covers 97 tiles (500 m x 500 m tiles).
            result: (missing)
        report: (DQ_ConceptualConsistency)
            nameOfMeasure: Conceptual Consistency
            evaluationMethodDescription: Not applicable
            result: (missing)
        lineage: (LI_Lineage)
            statement: (missing)
            processStep: (LI_ProcessStep)
                description: Data for the NOAA Morro Bay project was acquired by Quantum Spatial (QSI) using a Riegl VQ-880GII Topobathy LiDAR system. Sonar data was collected by Merkel and Associates using a SEA SWATHplus-H sonar system. QSI reviewed all acquired flight lines to ensure complete coverage and positional accuracy of the laser points. QSI creates an initial product call Quick Look Coverage Maps. These Quick Looks files are not fully processed data or final products. The collected LiDAR data is immediately processed in the field by QSI to a level that will allow QA\QC measures to determine if the sensor is functioning properly and assess the coverage of submerged topography. An initial SBET was created in POSPAC MMS 8.1 and used in RiProcess which applies pre-calibrated angular misalignment corrections of scanner position to extract the raw point cloud into geo-referenced LAS files. These files were inspected for sensor malfunctions and then passed through automated classification routines (TerraScan) to develop a rough topobathymetric ground model for an initial assessment of bathymetric coverage. To correct the continuous onboard measurements of the aircraft position recorded throughout the missions, QSI concurrently conducted multiple static Global Navigation Satellite System (GNSS) ground surveys (1 Hz recording frequency) over established monuments located in or around the project area. After the airborne survey, the static GPS data were triangulated with nearby Continuously Operating Reference Stations (CORS) using the Online Positioning User Service (OPUS) for precise positioning. Multiple independent sessions over the same monument were processed to confirm antenna height measurements and to refine position accuracy. QSI then resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data. A final smoothed best estimate trajectory (SBET) was developed that blends post-processed aircraft position with attitude data. Sensor head position and attitude are calculated throughout the survey. The SBET data are used extensively for laser point processing. The software Trimble Business Center v.3.90, Blue Marble Geographic Calculator 2017, and PosPac MMS 8.1 SP3 are used for these processes.
            processStep: (LI_ProcessStep)
                description: Next, QSI used RiProcess 1.8.5 to calculate laser point positioning of the Riegl VQ-880GII data by associating SBET positions to each laser point return time, scan angle, intensity, etc. A raw laser point cloud is created in Riegl data format and erroneous points are filtered. Data was exported to LAS 1.4 format and are combined into 500 m x 500 m tiles. Data was then further calibrated using TerraScan, TerraModeler, and TerraMatch and a refraction correction was applied to all sub-water surface returns using QSI proprietary LAS Monkey software. QSI used custom algorithms in TerraScan to create the initial ground/submerged topography surface. Relative accuracy of the green swaths was compared to overlapping and adjacent swaths and verified through the use Delta-Z (DZ) orthos created using QSI's DZ Ortho creator. Absolute vertical accuracy of the calibrated data was assessed using ground RTK survey data and complete coverage was again verified. QSI then performed manual editing to review all classification and improve the final topobathymetric surface. A final bathymetric void shape was created after final editing and provided to Merkel and Associates to target for sonar data collection. The acquired sonar was then integrated into the LiDAR dataset to provide a seamless bathymetric model. As a general rule, in areas of overlap sonar data was prioritized in deeper areas of the channel while LiDAR data was prioritized in shallower areas of the channel including all areas not submerged during the LiDAR collection. As the lidar laser approaches the laser’s extinction point bathymetric surface profiles and point density degrade thus the prioritization of sonar data in these areas. Conversely side-scan sonar does better when water depths are greater than 1m as areas shallower than this are prone to increased noise making the lidar data more reliable in these areas. Within the Morro Bay site there was one notable area of significant temporal change. The sand spit at the mouth of the bay displayed a difference as great as 5 meters from the lidar survey. Despite this area being collected at true ground during the lidar survey, the sonar data was used in this area being the most temporally recent data and collected at high tide with high confidence in the surface. All data from either sensor that was not used in model creation is still preserved in the point cloud as Ignored Ground/Bathymetry (class 20). Please see Appendix B of the NOAA Morro Bay Report for more information regarding the sonar acquisition and processing. Final topobathymetric DEMs were created at 1m pixel resolution using ground (class 2) and bathymetry (class 40).
            processStep: (LI_ProcessStep)
                description: Interpolated DEM dataset-These DEMs represent a continuous surface with all void areas interpolated. No void layer was incorporated into this DEM and there are no areas of No Data, regardless of whether the LiDAR data fully penetrated to the submerged topography.