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2015 NOAA NGS Topobathy Lidar: Puerto Rico
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                voice:  (843) 740-1202
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      DateTime:  2022-08-09T17:11:34
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                  title:  Puerto Rico Vertical Datum of 2002 (PRVD02) (GEOID18) meters
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2015 NOAA NGS Topobathy Lidar: Puerto Rico
            alternateTitle:  pr2015_ngs_topobathy_pr_m5193_metadata
            date:  (CI_Date)
                date:  2016-12-15
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                  Anchor:  InPort Catalog ID 48213
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                        linkage: https://www.fisheries.noaa.gov/inport/item/48213
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                        linkage: https://coast.noaa.gov
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                        linkage: https://coast.noaa.gov/dataviewer
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                        linkage: https://coast.noaa.gov/dataregistry
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                        name:  Digital Coast Data
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        abstract:  These data were collected by the National Oceanic Atmospheric Administration National Geodetic Survey Remote Sensing Division using a Riegl VQ-820G system. The data were acquired from 201410- 201505 in fifty three missions along the coastline of Puerto Rico. The project consists of 525 square miles along the shores of Puerto Rico. This dataset contains 5721 - 500 m x 500 m lidar tiles. The data classifications for the data are: 1 - unclassified, 2 - ground, 7 - topo noise, 25 - water column, 26 - bathymetric bottom or submerged topography, 27 - water surface, and 30 - International Hydrographic Organization (IHO) S-57 objects. Original contact information: Contact Org: National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Title: Chief, Remote Sensing Division Phone: 301-713-2663 This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  This lidar data was required by the National Geodetic Survey (NGS), Remote Sensing Division Coastal Mapping Program (CMP) to enable accurate and consistent measurement of the national shoreline. The CMP works to provide a regularly updated and consistent national shoreline to define America's marine territorial limits and manage coastal resources.
        credit:  We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation. 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 Aug 01, 2023 at https://coast.noaa.gov/dataviewer.
        status:  (MD_ProgressCode) completed
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            organisationName:  NOAA Office for Coastal Management
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                    voice:  (843) 740-1202
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    deliveryPoint:  2234 South Hobson Ave
                    city:  Charleston
                    administrativeArea:  SC
                    postalCode:  29405-2413
                    country: (missing)
                    electronicMailAddress:  coastal.info@noaa.gov
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                    linkage: https://coast.noaa.gov
                    protocol:  WWW:LINK-1.0-http--link
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5193/supplemental/pr2015_ngs_topobathy_pr_m5193.kmz
            fileDescription:  This graphic shows the lidar footprint for the 2015 NOAA NGS topobathy lidar project along the coast of Puerto Rico.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
            keyword:  EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY
            keyword:  EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
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            keyword:  OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > PUERTO RICO
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  12.3
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            keyword:  Geographic Information > LiDAR
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            keyword:  EARTH SCIENCE > Land Surface > Topography> Terrain Elevation
            keyword:  EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
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                title:  NOAA NOS Harvest Catalog
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            keyword:  COUNTRY/TERRITORY > United States of America > Puerto Rico > Puerto Rico (18N066W0000)
            keyword:  OCEAN BASIN > Atlantic Ocean > Caribbean Sea /North Atlantic Ocean > Puerto Rico > Puerto Rico (18N066W0000)
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            keyword:  20141102
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            type:  (MD_KeywordTypeCode) temporal
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DOC/NOAA/NOS/NGS > National Geodetic Survey, National Ocean Service, NOAA, U.S. Department of Commerce
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                title:  Global Change Master Directory (GCMD) Data Center Keywords
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                    date:  2017-04-24
                    dateType:  (CI_DateTypeCode) publication
                edition:  8.5
                citedResponsibleParty:  GCMD Landing Page
        descriptiveKeywords:  (MD_Keywords)
            keyword:  NGS Lidar
            type:  (MD_KeywordTypeCode) project
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            otherConstraints:  Cite As: National Geodetic Survey, [Date of Access]: 2015 NOAA NGS Topobathy Lidar: Puerto Rico [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48213.
        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 Office for Coastal Management, or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
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            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Data Management Plan (DMP)
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                        title:  NOAA/NMFS/EDM
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                    code:  48213
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                    organisationName: (inapplicable)
                    contactInfo:  (CI_Contact)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ngs/dmp/pdf/48213.pdf
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                            name:  NOAA Data Management Plan (DMP)
                            description:  NOAA Data Management Plan for this record on InPort.
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            associationType:  (DS_AssociationTypeCode) crossReference
        spatialRepresentationType:  (MD_SpatialRepresentationTypeCode) vector
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  OS Independent
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -67.296377
                eastBoundLongitude:  -65.539127
                southBoundLatitude:  17.850323
                northBoundLatitude:  18.528369
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2014-11-02
                    endPosition:  2015-05-20
        supplementalInformation:  Data include all lidar returns. An automated grounding classification algorithm was used to determine bare earth and submerged topography point classification. The automated grounding was followed with manual editing. The intensity imagery were created from the full point cloud excluding noise.
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    distributionInfo:  (MD_Distribution)
        distributionFormat:  (MD_Format)
            name:  Zip
            version: (missing)
        distributionFormat:  (MD_Format)
            name:  LAZ
            version: (missing)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
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                        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
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                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
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                        description:  NOAA Office for Coastal Management Home Page
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        transferOptions:  (MD_DigitalTransferOptions)
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5193
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                name:  Customized Download
                description:  Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
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                linkage: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/5193/index.html
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                name:  Bulk Download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Project specifications require horizontal positions to meet 1.0m RMSE.; Quantitative Value: 1 meters, Test that produced the value: Independent horizontal accuracy testing requires photo-identifiable survey checkpoints, which is not always possible with elevation data. No photo-identifiable areas could be found in the LiDAR intensity imagery and horizontal accuracy could not be computed for the lidar data. The LiDAR data is compiled to meet the 1.0 m RMSE horizontal accuracy specification through rigorous processing of airborne GPS and IMU, use of control, and calibration procedures.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  The vertical accuracy of the LiDAR was verified by Dewberry with 8 control points pulled from the topographic part of the job. All 8 points are open terrain points. The vertical accuracy is tested by comparing the control points to a triangulated irregular network (TIN) that is created from the LiDAR points. Control points are always compared to interpolated surfaces created from the LiDAR point cloud because it is unlikely that a control point will be located at the location of a discrete LiDAR point. Control points in open terrain, bare earth, or urban areas will be used to compute the Fundamental Vertical Accuracy (FVA). Project specifications require a FVA of 0.196 m at the 95% confidence level based on RMSEz (0.125 m) x 1.9600. As the control points were open terrain points, only the FVA could be verified on this dataset.; Quantitative Value: 0.082 meters, Test that produced the value: Based on the vertical accuracy testing conducted by Dewberry, using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level (called Accuracy z) is computed by the formula RMSEz x 1.9600. The Puerto Rico Topobathy dataset satisfies the criteria: Lidar dataset tested 0.082 m vertical accuracy at 95% confidence level in open terrain, based on RMSEz (0.042 m) x 1.9600. Since only 8 points are used for this calculation this result is not statistically significant.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Data covers the 5,721 tiles (500m x 500m 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 Puerto Rico Topobathy LiDAR project was acquired by NOAA using a Riegl VQ-820G Topobathy LiDAR systems. All delivered LiDAR data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 19 Horizontal Units-meters Vertical Datum-NAD83 (2011) epoch: 2010 (ellipsoid heights) Vertical Units-meters This dataset encompasses 5,721 500m x 500m tiles in Puerto Rico. Both green LiDAR data and NIR LiDAR data (used for water surface model creation that is incorporated during refraction of the green bathymetric data) was acquired. NOAA acquired and calibrated the LiDAR data. Dewberry received the calibrated green and NIR data and verified complete coverage. Relative accuracy of the green swaths compared to overlapping and adjacent green swaths as well as the relative accuracy of green swaths compared to overlapping and adjacent NIR swaths was verified through the use Delta-Z (DZ) orthos created in GeoCue software. Dewberry used E-Cognition to create 2D breaklines representing land/water interfaces. These 2D breaklines were manually reviewed and adjusted where necessary to ensure all well-defined hydrographic features (at 1:1200-scale) were represented with breaklines. Using TerraScan, all green LiDAR data within breaklines are classified as water column and a sub-set of these points meeting specific criteria are classified as green water surface points. Using TerraScan, all NIR LiDAR data within breaklines are classified as water column and a sub-set of these points meeting specific criteria are classified as NIR water surface points. Dewberry used the green water surface points and NIR water surface points to create water surface models. These models are used in the refraction tool to determine the depth of bathymetric points and are created for single swaths to ensure temporal differences and wave or water surface height variations between flight lines do not impact the refraction of the bathymetric data. Using the SBET data and the water surface models, all green LiDAR data classified as water column (data within the breaklines) is refracted using Dewberry's LiDAR Processor (DLP). Light travels at different speeds in air versus water and its direction of travel or angle is changed or refracted when entering the water column. The refraction tool corrects for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the green LiDAR data. Using statistics and limited manual review, the output data is verified to ensure the refraction tool functioned properly.
                dateTime:
                  DateTime:  2016-05-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Once all green data has been refracted by flight lines, all flight lines covering each tile are combined into a single 500 m x 500 m tile. As the various flight lines may include data collected at Mean Lower Low Water (MLLW) and higher water (HW), which includes everything that is outside the range of MLLW, any HW refracted data points landward of the MLLW land/water interface were classified to class 18 to ensure these HW bathymetric points were not used when MLLW exposed ground points exist in those locations. Dewberry used algorithms in TerraScan to create the initial ground/submerged topography surface. Dewberry then performed manual editing to review and improve the final topobathy surface. Locations of temporal differences were resolved using the Temporal Difference Decision Tree approved by NOAA. Polygons marking the locations of large temporal differences are provided as part of the deliverables. All LiDAR data was peer-reviewed. Dewberry's internal QC also included creating void polygons for use during review. All necessary edits were applied to the dataset. GeoCue software was used to update LAS header information, including all projection and coordinate reference system information. The final LiDAR data are in LAS format 1.2 and point data record format 3. The final classification scheme is as follows: 1-Unclassified 2-Ground 7-Topo Noise 25-Water Column 26-Bathymetric Bottom or Submerged Topography 27-Water Surface 29-Submerged Object 30-International Hydrographic Organization (IHO) S-57 objects Dewberry then produced the final void layer and final set of DZ orthos using the final ground (2) and submerged topography (26) classes. All data is then verified by an Independent QC department within Dewberry. The independent QC is performed by separate analysts who do not perform manual classification or editing. The independent QC involves quantitative and qualitative reviews.
                dateTime:
                  DateTime:  2016-05-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received files in las format. The files contained lidar elevation and intensity measurements along the coast of Puerto Rico. The data were in UTM Zone 19 coordinates and ellipsoid elevations in meters. The data classifications for the data are: 1 - unclassified, 2 - ground, 7 - topo noise, 25 - water column, 26 - bathymetric bottom or submerged topography, 27 - water surface, and 30 - International Hydrographic Organization (IHO) S-57 objects. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Eliminated elevation outliers below -100 meters ellipsoid height 2. Converted from UTM Zone 19 to geographic coordinates 3. Sorted by gps time 4. Compressed the data using laszip
                dateTime:
                  DateTime:  2016-12-05T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Lidar
                    date: (missing)
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference Puerto Rico Vertical Datum of 2002 (PRVD02) (GEOID18) meters, using the GEOID18 grids provided by the National Geodetic Survey. Any datum and projection transformations were then done with the Office for Coastal Management 'datum_shift' program. Compression to an LAZ file was done with the LAStools 'laszip' program and can be unzipped with the same free program (laszip.org) Processing notes:
                dateTime:
                  DateTime:  2023-08-01T05:59:14
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor