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2016 NOAA NGS Topobathy Lidar DEM: Tarpon Springs (FL)
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      LanguageCode:  eng
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                deliveryPoint:  2234 South Hobson Avenue
                city:  Charleston
                administrativeArea:  SC
                postalCode:  29405-2413
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        individualName:  Coastal Management, NOAA Office for
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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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    dateStamp:
      DateTime:  2019-06-27T10:42:03
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    metadataStandardVersion:  ISO 19115-2:2009(E)
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        referenceSystemIdentifier:  (RS_Identifier)
            code:  EPSG::6346
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2016 NOAA NGS Topobathy Lidar DEM: Tarpon Springs (FL)
            date:  (CI_Date)
                date:  2019-06
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 56744
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                        linkage: https://coast.noaa.gov
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                        linkage: https://coast.noaa.gov/dataviewer
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        abstract:  This data was collected by NOAA using a Riegl VQ880G sensor. The data was acquired from February 11, 2016 through February 14, 2016. The data includes topobathy data in LAS 1.2 format classified as created, unclassified (1); ground (2); noise (7); bathymetric noise (22); water column (25); bathymetric bottom (26); water surface (27) in accordance with project specifications. The project consists of approximately 85 square miles of data along the shores of Tarpon Springs. This dataset contains 1,224 500 m x 500 m lidar tiles.
        purpose:  Tarpon Springs has been identified as having critical topographic and bathymetric data gaps by NOAA. This lidar data will fill those critical gaps
        credit:  We request that you credit the National Oceanic and Atmospheric Administration (NOAA) when you use these data in a report, publication, or presentation.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            individualName:  Coastal Management, NOAA Office for
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                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
            role:  (CI_RoleCode) pointOfContact
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            individualName:  Coastal Management, NOAA Office for
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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
            role:  (CI_RoleCode) custodian
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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8771/supplemental/fl2016_ngs_topobathy_tarpon_m8771.kmz
            fileDescription:  This graphic shows the lidar footprint for this project.
            fileType:  kmz
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  LIDAR DEM
            keyword:  Topography
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Geographic Information > LiDAR
            type:  (MD_KeywordTypeCode) theme
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                title:  CoRIS Discovery Thesaurus
                date: (missing)
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            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  NOAA NOS Harvest Catalog
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > Land Surface > Topography> Terrain Elevation
            keyword:  EARTH SCIENCE > Oceans > Bathymetry/Seafloor Topography > Bathymetry
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            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
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Florida
            keyword:  United States
            type:  (MD_KeywordTypeCode) place
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Continent > North America > United States Of America > Florida
            type:  (MD_KeywordTypeCode) place
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
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            keyword:  COUNTRY/TERRITORY > United States of America > Florida
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                title:  CoRIS Place Thesaurus
                date: (missing)
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            keyword:  20160211
            keyword:  20160214
            type:  (MD_KeywordTypeCode) temporal
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce
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                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
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                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 Office for Coastal Management, or its partners.
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            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  OS Independent
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -82.880913
                eastBoundLongitude:  -82.713906
                southBoundLatitude:  28.016954
                northBoundLatitude:  28.267213
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2016-02-11
                    endPosition:  2016-02-14
        supplementalInformation:  The full workflow used for this project is found in the final project report submitted to NOAA.
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                individualName:  Coastal Management, NOAA Office for
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                    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
                role:  (CI_RoleCode) distributor
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8773
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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://coast.noaa.gov/htdata/raster2/elevation/NGS_FL_TarponSprings_Topobathy_DEM_2016_8773
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Simple download of data files.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_NonQuantitativeAttributeAccuracy)
            nameOfMeasure:  Representativeness
            evaluationMethodDescription:  NOAA acquired and calibrated all lidar data and Dewberry classified this data and created derivative products. As such, Dewberry did not perform any absolute positional accuracy testing on this dataset. 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.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Not tested
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Data collected to meet 15cm accuracy at 1 sigma.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Data for the Tarpon Springs project was acquired by NOAA using a Riegl VQ880G sensor. All delivered lidar data is referenced to: Horizontal Datum-NAD83 (2011) epoch: 2010 Projection-UTM Zone 17 North Horizontal Units-meters Vertical Datum-NAD83 (2011) epoch: 2010 Vertical Units-meters This dataset encompasses 1,224 500 m x 500 m lidar tiles. Both green lidar data and NIR lidar data were acquired. NOAA acquired, calibrated, and performed the refraction correction of the lidar data. 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 correction process corrects for this difference by adjusting the depth (distance traveled) and horizontal position (change of angle/direction) of the lidar data acquired within water.
                dateTime:
                  DateTime:  2018-12-03T00:00:00
            processStep:  (LI_ProcessStep)
                description:  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 of Delta-Z (DZ) orthos created in GeoCue software. Intraswath or within a swath relative accuracy was verified using Quick Terrain Modeler. Profiles of elevated planar features, such as roofs, were used to verify horizontal alignment between overlapping swaths. Dewberry used algoritms in TerraScan to create the intial ground/submerged topography surface. Dewberry created 2-D breaklines by digitizing breaklines in a 2-D environment using intensity imagery as a reference. Dewberry used the 2-D breaklines to classify the bathymetric bottom and ground points properly in TerraScan. All lidar data was peer-reviewed. Dewberry's QAQC 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 classificaton scheme is as follows: 1-Unclassified 2-Ground 7-Noise 22-Bathymetric Noise 25-Water Column 26-Bathymetric Bottom 27-Water Surface All data was then verified by an Independent QC department within Dewberry. The independent QC was performed by separate analysts who did not perform manual classification or editing. The independent QC involved quantitative and qualitative reviews.
                dateTime:
                  DateTime:  2018-12-03T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Dewberry made a copy of the final lidar data and transformed the data from ellipsoid heights to orthometric heights, referenced to NAVD88 Geoid 12B, meters. The lidar data in orthometric heights was used to create the final topobathymetric DEMs in orthometric heights Lidar data was converted to a LAS Dataset. Lidar data classified as ground (2) and submerged topography (26) was then used to generate a raster in IMG format with 1 meter pixel resolution. The output raster was created over the full AOI area to reduce edge-matching issues and improve seamlessness. The raster was clipped to the tile grid and named according to project specifications to result in tiled topobathymetric DEMs. All tiled DEMs incorporate the use of the void polygons. The void polygons represent bathymetric areas with no bathymetric bottom returns and are set as NoData in the DEMs. Void polygon creation is described in the final project report and the void polygon metadata. A confidence layer has been created and provided to NOAA as part of the deliverables. The confidence layer is a raster product in IMG format with 1 meter square pixels. Except where there are not enough lidar data points in a pixel to calculate a standard deviation value, the confidence layer provides a standard deviation value for every pixel by calculating the standard deviation of all ground and/or submerged topography lidar points that are located within a single pixel. The confidence layer pixels align to the pixels in the topobathy DEMs. The confidence layer can be displayed by unique values or classified into desired bins/ranges for analysis over larger areas.
                dateTime:
                  DateTime:  2019-03-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received files in las format. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 17 coordinates and ellipsoid elevations in meters. OCM performed the following processing on the data for Digital Coast storage and provisioning purposes: 1. Converted from UTM Zone 17 to geographic coordinates 2. Sorted by gps time 3. Compressed the data using laszip
                dateTime:
                  DateTime:  2019-06-21T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                sourceCitation:  (CI_Citation)
                    title:  Lidar
                    date: (missing)