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2017 NYC Topobathy Lidar DEM: New York City
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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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                linkage: https://coast.noaa.gov
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    dateStamp:
      DateTime:  2021-06-04T16:30:53
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    metadataStandardVersion:  ISO 19115-2:2009(E)
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            code:  EPSG::6360
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2017 NYC Topobathy Lidar DEM: New York City
            date:  (CI_Date)
                date:  2018-11-09
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 64732
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                        linkage: https://www.fisheries.noaa.gov/inport/item/64732
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                        description:  View the complete metadata record on InPort for more information about this dataset.
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                        linkage: https://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9306/supplemental/New_York_City_2017_Topobathymetric_LiDAR_Report_FINAL.pdf
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                        description:  Link to data set report.
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                        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.
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        abstract:  Product: The bare earth digital elevation model (DEM) represents the earth's surface with all vegetation and anthropogenic features removed. It is derived from Green and NIR LiDAR data using TIN processing of the ground and bathymetric bottom point returns. Geographic Extent: New York, Bronx, Kings, Queens, and Richmond Counties in New York plus an additional 100 m buffer. Dataset Description: In May 2017, Quantum Spatial (QSI) was contracted by Applied Geographics (AppGeo) to collect topographic and topobathymetric Light Detection and Ranging (LiDAR) data for the City of New York (NYC). QSI collected and processed traditional (near infrared wavelength, Leica ALS80 sensor) LiDAR over the topographic AOI, and spliced together NIR and bathymetric LiDAR (green wavelength, Riegl VQ-880-G sensor) for the topobathymetric AOI. Ground Conditions: Topographic LiDAR was collected in May 2017 with approximately 50% leaf-off conditions. Bathymetric data was collected in July 2017 during low tide time windows. Ground control data were used to geospatially correct the LiDAR point cloud and used to perform quality assurance checks on the final products. In addition, Continuously Operating Reference Stations (CORS) from the New York State Spatial Reference Network (NYSNet) were used to geospatially correct the aircraft positional coordinate data and as base stations for GSP collection. All ground survey work to support the topobathymetric LiDAR acquisition was conducted during the NIR LiDAR collection window. Land cover class check points were also collected throughout the study area to evaluate vertical accuracy.
        purpose:  Data were collected to help support the City’s many agencies in planning and analysis related to their key initiatives. LiDAR derived DEMs will be crucial for long-term land use planning and assessing the impacts of sea level rise.
        credit:  New York City Department of Information Technology and Telecommunications
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            organisationName:  NOAA Office for Coastal Management
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                phone:  (CI_Telephone)
                    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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            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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                    linkage: https://coast.noaa.gov
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                    description:  NOAA Office for Coastal Management Home Page
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            role:  (CI_RoleCode) custodian
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            maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        graphicOverview:  (MD_BrowseGraphic)
            fileName: http://coast.noaa.gov/htdata/lidar4_z/geoid18/data/9306/supplemental/extent_nyc_topobathy_2017_m9306.kmz
            fileDescription:  This graphic displays the footprint for this lidar data set.
            fileType:  KML
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > New York State >
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        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
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                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America
            keyword:  Continent > North America > United States Of America > U.S. Coastline
            keyword:  Continent > North America > United States Of America > New York State > Bronx County
            keyword:  Continent > North America > United States Of America > New York State > Kings County
            keyword:  Continent > North America > United States Of America > New York State > New York City
            keyword:  Continent > North America > United States Of America > New York State > New York County
            keyword:  Continent > North America > United States Of America > New York State > Queens County
            keyword:  Continent > North America > United States Of America > New York State > Staten Island County
            keyword:  Vertical Location > Land Surface
            keyword:  Vertical Location > Seafloor
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        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
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                title:  Global Change Master Directory (GCMD) Instrument Keywords
                date: (missing)
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            keyword:  Aircraft > Aircraft
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                title:  Global Change Master Directory (GCMD) Platform Keywords
                date: (missing)
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            keyword:  DEMs - partner (no harvest)
            type:  (MD_KeywordTypeCode) project
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                title:  InPort
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        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2017 NYC Topobathy Lidar DEM: New York City [Data Date Range], https://www.fisheries.noaa.gov/inport/item/64732.
        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 Office for Coastal Management or its partners
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                        title:  NOAA/NMFS/EDM
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                    code:  64732
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/64732.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) tin
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        topicCategory:  (MD_TopicCategoryCode) elevation
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -74.257499
                eastBoundLongitude:  -73.69803
                southBoundLatitude:  40.491252
                northBoundLatitude:  40.916459
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2017-05-03
                    endPosition:  2017-07-26
        supplementalInformation:  As part of a federal Disaster Recovery Community Development Block Grant ("CDBG-DR"), the New York City (NYC) Mayor’s Office of Recovery and Resiliency (ORR), Department of Information Technology and Telecommunications (DoITT) and Department of Parks and Recreation (Parks) contracted with AppGeo for the acquisition of Light Detection and Ranging (LiDAR) data, developing LiDAR-derived products, and generating high-resolution land cover. Quantum Spatial Inc. was subcontracted for acquisition and processing of the LiDAR data.
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            name:  GeoTIFF (.tif)
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                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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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9307/details/9307
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                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
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                linkage: https://coast.noaa.gov/htdata/raster5/elevation/NYC_topobathy_BE_DEM_2017_9307/
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in the original coordinate system.
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Absolute accuracy was assessed using Non-vegetated Vertical Accuracy (NVA) reporting designed to meet guidelines presented in the FGDC National Standard for Spatial Data Accuracy. NVA compares known ground quality assurance point data collected on open, bare earth surfaces with level slope (<20°) to the triangulated surface generated by the LiDAR points. NVA is a measure of the accuracy of LiDAR point data in open areas where the LiDAR system has a high probability of measuring the ground surface and is evaluated at the 95% confidence interval (1.96 * RMSE). The mean and standard deviation (sigma) of divergence of the ground surface model from ground check point coordinates are also considered during accuracy assessment. These statistics assume the error for x, y and z is normally distributed, and therefore the skew and kurtosis of distributions are also considered when evaluating error statistics. For the New York City Topographic and Topobathymetric LiDAR survey, 151 ground check points were withheld from the calibration and post-processing of the LiDAR point cloud, resulting in a non-vegetated vertical accuracy of 0.242 feet (0.074 meters), with 95% confidence. RMSE = 0.038 meters. Bathymetric (submerged or along the water’s edge) check points were also collected in order to assess the submerged surface vertical accuracy. Assessment of 115 bathymetric check points resulted in a vertical accuracy of 0.208 feet (0.064 meters), evaluated at the 95th percentile. QSI also assessed absolute accuracy using 2,416 ground control points. Although these points were used in the calibration and post-processing of the LiDAR point cloud, they still provide a good indication of the overall accuracy of the LiDAR dataset, and therefore have been provided in the Project Report, linked elsewhere in the metadata record.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  The classified point cloud was inspected and passed accuracy specifications.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Data covers the entire area specified for this project.
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  Data were collected and processed by Quantum Spatial, Inc. for the New York City Department of Information Technology and Telecommunications. The data were retrieved from the New York State GIS FTP website [ address: ftp://ftp.gis.ny.gov/elevation/LIDAR/NYC_TopoBathymetric2017/ ] by the NOAA Office for Coastal Management (OCM), where the data were processed to make it available for custom download from the Data Access Viewer (DAV) and bulk download from https
            processStep:  (LI_ProcessStep)
                description:  The following outlines the processing of the point cloud data: 1. Flightlines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. 2. Laser point return coordinates were computed using Waypoint Inertial Explorer and Leica Cloudpro software based on independent data from the LiDAR system, IMU, and aircraft. 3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. 4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. 5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll, and yaw offset parameters optimize internal consistency. 6. Noise (e.g., pits and birds) was filtered using post-processing software, based on known elevation ranges and included the removal of any cycle slips. 7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area. 8. The corrected and filtered return points were compared to the ground survey points collected to verify the vertical accuracy. 9. TIN processing of the ground point returns with water's edge breaklines enforced was used to create this hydro-flattened bare earth DEM.
                dateTime:
                  DateTime:  2018-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) retrieved 31 DEM files in geoTIFF format from the New York State GIS website. The data were in NAD83 (2011) State Plane New York Long Island (FIPS 3104) in US Feet, and NAVD88 (Geoid12B) elevations in feet. The bare earth raster files were at a 1 foot grid spacing. OCM assigned the appropriate EPSG codes (Horiz - 6539, Vert - 6360) and copied the raster files to https for Digital Coast storage and provisioning purposes.
                dateTime:
                  DateTime:  2021-06-02T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Lidar Data
                    date: (missing)
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  Quantum Spatial, Inc.
                        contactInfo:  (CI_Contact)
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                                linkage: http://quantumspatial.com/
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                                name:  Quantum Spatial
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