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2013 NOAA Topographic Lidar: US Virgin Islands Digital Elevation Models (DEMs)
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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:  2024-02-29T00:00:00
    metadataStandardName:  ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
    metadataStandardVersion:  ISO 19115-2:2009(E)
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2013 NOAA Topographic Lidar: US Virgin Islands Digital Elevation Models (DEMs)
            alternateTitle:  usvi2013_stc_stj_stt_m3669_dem_metadata
            date:  (CI_Date)
                date:  2014-08-29
                dateType:  (CI_DateTypeCode) publication
            identifier:  (MD_Identifier)
                authority:  (CI_Citation)
                    title:  NOAA/NMFS/EDM
                    date: (inapplicable)
                code:
                  Anchor:  InPort Catalog ID 48382
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                        linkage: https://www.fisheries.noaa.gov/inport/item/48382
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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/dataviewer
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        abstract:  The United States Virgin Islands Topographic LiDAR Task Order involved collecting and delivering topographic elevation point data derived from multiple return light detection and ranging (LiDAR) measurements on the islands of St. Thomas, St. John, St. Croix and numerous smaller islands and islets in the United States Virgin Islands. The data collected for the project area will exhibit Hydro Flattened DEMs (1m resolution) for inclusion into the NED. The purpose of the data is for use in coastal management decision making, including applications such as flood plain mapping and water rights management. LiDAR was collected at an average of 0.7 meter point spacing for all acquired project areas. Overall the DEMs were acceptable, but appear oversampled as a result of low ground point density (heavy vegetation), and is not a contractor issue as a 1 m DEM was specified. Incremental improvements to the DEMs were earned through breakline adjustments. Another characteristic of the USVI lidar data that was observed on all islands is the appearance of divots where there is a single tree or a narrow line of trees that lie in areas of open, bare terrain. The cause appeared to be sub-canopy points that were lower than the surrounding land. In most cases these low points were lower than the true ground surface at those locations, but were classified as ground and retained in the point cloud for use in DEM generation. This issue was not addressed during revisions.
        purpose:  Raster DEM files are used to show the Digital Elevation Model of the LAS Class 2 points. Breaklines can be incorporated into the DEM to show a more representative surface.
        credit:  Precision Aerial Reconnaissance, LLC. acquired the LiDAR for the entire project area. Photo Science performed all LiDAR post-processing and created all required deliverables for the project.
        status:  (MD_ProgressCode) completed
        pointOfContact:  (CI_ResponsibleParty)
            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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        descriptiveKeywords:  (MD_Keywords)
            keyword:  EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
            keyword:  EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
            type:  (MD_KeywordTypeCode) theme
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Science Keywords
                date: (missing)
                edition:  17.0
        descriptiveKeywords:  (MD_Keywords)
            keyword:  OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > CARIBBEAN SEA > VIRGIN ISLANDS
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
                edition:  17.0
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DEM
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  DOC/NOAA/NOS/OCM > Office of Coastal Management, National Ocean Service, NOAA, U.S. Department of Commerce
            type:  (MD_KeywordTypeCode) dataCentre
            thesaurusName:  (CI_Citation)
                title:  Global Change Master Directory (GCMD) Data Center Keywords
                date:  (CI_Date)
                    date:  2017-04-24
                    dateType:  (CI_DateTypeCode) publication
                edition:  8.5
                citedResponsibleParty:  GCMD Landing Page
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            keyword:  DEMs
            type:  (MD_KeywordTypeCode) project
            thesaurusName:  (CI_Citation)
                title:  InPort
                date: (inapplicable)
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Cite As: Office for Coastal Management, [Date of Access]: 2013 NOAA Topographic Lidar: US Virgin Islands Digital Elevation Models (DEMs) [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48382.
        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)
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            otherConstraints:  Access Constraints: None
        resourceConstraints:  (MD_LegalConstraints)
            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Use Constraints: None. However, users should be aware that temporal changes may have occurred since this data set was collected and that some parts of the data may no longer represent actual surface conditions. Users should not use the data for critical applications without a full awareness of its limitations.
        resourceConstraints:  (MD_LegalConstraints)
            useLimitation:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the PhotoScience, the Office for Coastal Management, or its partners.
        resourceConstraints:  (MD_SecurityConstraints)
            classification:  (MD_ClassificationCode) unclassified
            classificationSystem: (missing)
            handlingDescription: (missing)
        aggregationInfo:  (MD_AggregateInformation)
            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Data Management Plan (DMP)
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                        date: (inapplicable)
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/48382.pdf
                            protocol:  WWW:LINK-1.0-http--link
                            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) grid
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  MicroStation Version 8; TerraScan Version 14; TerraModeler Version 14; GeoCue Version 2013.1.45.1; ESRI ArcGIS 10.1; Global Mapper Version 15.2; ALS Post Processor Version 2.75 Build #25; Windows 7 Operating System
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                westBoundLongitude:  -65.093469
                eastBoundLongitude:  -64.561957
                southBoundLatitude:  17.670388
                northBoundLatitude:  18.423828
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2013-11-09
                    endPosition:  2013-12-10
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    contentInfo:  (MD_FeatureCatalogueDescription)
        complianceCode:  false
        language:
          LanguageCode:  eng
        includedWithDataset:  false
        featureCatalogueCitation:  (CI_Citation)
            title:  All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards.
            date: (unavailable)
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    distributionInfo:  (MD_Distribution)
        distributor:  (MD_Distributor)
            distributorContact:  (CI_ResponsibleParty)
                organisationName:  NOAA Office for Coastal Management
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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
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                        linkage: https://coast.noaa.gov
                        protocol:  WWW:LINK-1.0-http--link
                        name:  NOAA Office for Coastal Management Website
                        description:  NOAA Office for Coastal Management Home Page
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8390
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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.us-east-1.amazonaws.com/dem/NOAA_USVI_DEM_2013_8390/index.html
                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_QuantitativeAttributeAccuracy)
            nameOfMeasure:  Accuracy
            evaluationMethodDescription:  The project area requires LiDAR to be collected on average of 0.7 meter point spacing or better and vertical accuracy of 9.25 centimeters RMSE or better to support 1' contour generation when combined with breaklines.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  There is no assessment of the accuracy of the DEMs. However, the horizontal accuracy of the lidar that was collected and used to help create the DEMs was determined. The LiDAR data was compiled to meet a 1 meter horizontal accuracy. The calibration of the LiDAR sensor itself and the calibration process of the data produced by this sensor ensure that this accuracy is met.; Quantitative Value: 1.0 meters, Test that produced the value: Value stated in meters
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  There is no assessment of the accuracy of the DEMs. However, the vertical accuracy of the lidar that was collected and used to help create the DEMs was determined. NOAA OCM conducted the vertical accuracy assessment for this data set. Eighty ground control points were collected on all three islands. The following are the number of points collected per island: St. Croix (31), St. John (19), St. Thomas (30). The accuracy specification called for a 9.25 cm Root Mean Square Error (RMSE) for all the islands. St. John and St. Thomas met this specification, however, St. Croix did not. The RMSE values for each island are as follows: St. Croix (14 cm), St. John (7 cm), St. Thomas (8 cm). The all islands RMSE value is 11 cm. The Quality Assurance Review Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/3669/supplemental/usvi2013_stc_stj_stt_m3669_qa_report.pdf The Check Point Survey Report may be viewed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/3669/supplemental/usvi2013_stc_stj_stt_m3669_chk_pnt_report.pdf ; Quantitative Value: 0.11 meters, Test that produced the value: RMSE in meters of classified LiDAR
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Datasets contain complete coverage of tiles.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Bare-earth DEMs were tested by Photo Science, Inc. for vertical accuracy. All data are seamless from one tile to the next, no gaps or no data areas.
            result: (missing)
        lineage:  (LI_Lineage)
            statement: (missing)
            processStep:  (LI_ProcessStep)
                description:  Applanix + POSPac Mobile Mapping Suite software was used for post-processing of airborne GPS and inertial data (IMU), which is critical to the positioning and orientation of the LiDAR sensor during all flights. POSPac combines aircraft raw trajectory data with stationary GPS base station data yielding a "Smoothed Best Estimate Trajectory (SBET) necessary for additional post processing software to develop the resulting geo-referenced point cloud from the LiDAR missions. During the sensor trajectory processing (combining GPS and IMU datasets) certain statistical graphs and tables are generated within the Applanix POSPac processing environment which are commonly used as indicators of processing stability and accuracy. This data for analysis include: Max horizontal / vertical GPS variance, separation plot, altitude plot, PDOP plot, base station baseline length, processing mode, number of satellite vehicles, and mission trajectory. The generated point cloud is the mathematical three dimensional composite of all returns from all laser pulses as determined from the aerial mission. Point clouds were created using the Leica ALS Post Processor software. Laser point data are imported into TerraScan and a manual calibration is performed to assess the system offsets for pitch, roll, heading and scale. At this point this data is ready for analysis, classification, and filtering to generate a bare earth surface model in which the above-ground features are removed from the data set. GeoCue distributive processing software was used in the creation of some files needed in downstream processing, as well as in the tiling of the dataset into more manageable file sizes.
                dateTime:
                  DateTime:  2013-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  TerraScan and TerraModeler software packages were used for the automated data classification, manual cleanup, and bare earth generation. Project specific macros were developed to classify the ground and remove side overlap between parallel flight lines. The classes used in the dataset are as follows and have the following descriptions: Class 1 - Processed, but Unclassified - These points would be the catch all for points that do not fit any of the other deliverable classes. This would cover things like vegetation, buildings, cars, bridges, etc. Class 2 - Bare earth ground - This is the bare earth surface Class 7 - Noise - Low or high points, manually and/or automatically identified above or below the surface that could be noise points in point cloud. Class 9 - Water - Points found inside of inland lake/ponds, rivers or points on the ocean side of any shoreline feature. Class 10 - Ignored Ground - Points found to be close to breakline features. Points are typically moved to this class from Class 2. This class is ignored during the DEM creation. Class 17 - Overlap Default (Unclassified) - Points found in the overlap between flight lines. These points are created through automated processing methods and are not cleaned up during manual classification. Class 18 - Overlap Bare-earth ground - Points found in the overlap between flight lines. These points are created through automated processing, matching the specifications determined during the automated process, that are close to the Class 2 dataset (when analyzed using height from ground analysis) Class 25 - Overlap Water - Points found in the overlap between flight lines that are located inside hydro features. These points are created through automated processing methods and are not cleaned up during manual classification. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified to Class 17 (Overlap Default) and Class 18 (Overlap Ground). These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare earth surface is finalized; it is then used to generate all hydro-breaklines through heads-up digitization. Class 2 LIDAR was used to create a bare earth surface model. The surface model and LAS intensity were then used to heads-up digitize 2D breaklines of inland streams and rivers as well as the ocean shoreline. Inland Ponds and Lakes of 2 acres or greater were also collected. Elevation values were assigned to all Inland Ponds and Lakes using TerraModeler functionality. Elevation values were assigned to all Inland Streams and Rivers using Photo Science proprietary software. Elevation values were assigned to all Coastal Shoreline features using TerraModeler functionality. Z values for the shorelines were assigned based on tidal conditions at the time of acquisition. All ground (ASPRS Class 2) LiDAR data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 1 meter was also used around each hydro flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 10). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. LAS data was then run throu
                dateTime:
                  DateTime:  2014-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  NOAA OCM received the Digital Elevation Models (DEMs) along with the las points and the hydro-flattened breaklines. Overall the DEMs were acceptable, but appear oversampled as a result of low ground point density (heavy vegetation), and is not a contractor issue as a 1 m DEM was specified. Incremental improvements to the DEMs were earned through breakline adjustments. Another characteristic of the USVI lidar data that was observed on all islands is the appearance of divots where there is a single tree or a narrow line of trees that lie in areas of open, bare terrain. The cause appeared to be sub-canopy points that were lower than the surrounding land. In most cases these low points were lower than the true ground surface at those locations, but were classified as ground and retained in the point cloud for use in DEM generation. This issue was not addressed during revisions. For further information, the QA Review Report may be accessed here: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12a/3669/supplemental/usvi2013_stc_stj_stt_m3669_qa_report.pdf
                dateTime:
                  DateTime:  2014-01-01T00:00:00
            source:  (LI_Source)
                description:  Source Contribution: LiDAR points were used to produce the deliverables. | Source Geospatial Form: digital data | Type of Source Media: Hard Drive
                sourceCitation:  (CI_Citation)
                    title:  LiDAR
                    date:  (CI_Date)
                        date:  2014-01-01
                        dateType:  (CI_DateTypeCode) publication
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2013-11-09
                            endPosition:  2013-12-10