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2010 Coastal Georgia Elevation Project Lidar Data
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                city:  Charleston
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                postalCode:  29405-2413
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                electronicMailAddress:  coastal.info@noaa.gov
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      DateTime:  2021-07-28T00:00:00
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    identificationInfo:  (MD_DataIdentification)
        citation:  (CI_Citation)
            title:  2010 Coastal Georgia Elevation Project Lidar Data
            alternateTitle:  coastalga2010_m577_metadata
            date:  (CI_Date)
                date:  2011-04
                dateType:  (CI_DateTypeCode) publication
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                  Anchor:  InPort Catalog ID 48167
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                        linkage: https://www.fisheries.noaa.gov/inport/item/48167
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                        linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/577/supplemental/CoastalGA_Final_Project_Report.pdf
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                        linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/577/supplemental/CoastalGA_Final_QAQC_Report.pdf
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                        linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/577/breaklines/
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        abstract:  Between January and March 2010, lidar data was collected in southeast/coastal Georgia under a multi-agency partnership between the Coastal Georgia Regional Development Center, USGS, FEMA, NOAA and local county governments. Data acquisition is for the full extent of coastal Georgia, approximately 50 miles inland, excluding counties with existing high-resolution lidar derived elevation data. The data capture area consists of an area of approximately 5703 square miles. This project is within the Atlantic Coastal Priority Area as defined by the National Geospatial Program (NGP) and supports homeland security requirements of the National Geospatial-Intelligence Agency (NGA). This project also supports the National Spatial Data Infrastructure (NSDI) and will advance USGS efforts related to The National Map and the National Elevation Dataset. The data were delivered in LAS format version 1.2 in 5000 x 5000 foot tiles. The data are classified according to ASPRS LAS 1.2 classification scheme: Class 1 - Unclassified Class 2 - Bare Earth Class 7 - Low Point (Noise) Class 9 - Water Class 10 - Land below sea level Class 12 - Overlap This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
        purpose:  The purpose of this project is to provide professional surveying and mapping services to collect and deliver topographic elevation data derived from multiple return light detection and ranging (lidar) measurements for areas in southeast / coastal Georgia. These data are intended for use in coastal management decision making, including applications such as sea level rise and coastal flood mapping. Lifts were planned to meet project specifications and were flown under cloud-free conditions in order to collect LiDAR points at an average of 1.0 meter point spacing. This allows the user to create Intensity Images, Break Lines, and fully Classified LiDAR LAS files.
        credit:  Photo Science, Inc. acquired Brantley, Camden, Charlton, and Wayne Counties. Fugro EarthData, Inc. acquired Bryan, Bulloch, Effingham, Long, McIntosh, and Screven Counties. 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 Oct 22, 2021 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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                    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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        graphicOverview:  (MD_BrowseGraphic)
            fileName: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/577/supplemental/2010_CoastalGA_Elevation_Project_Lidar.kmz
            fileDescription:  Link to the data set footprint.
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Earth Science > Land Surface > Topography > Terrain Elevation > Topographical Relief Maps
            keyword:  Earth Science > Oceans > Bathymetry/Seafloor Topography > Seafloor Topography
            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)
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            keyword:  Continent > North America > United States Of America > Georgia
            type:  (MD_KeywordTypeCode) place
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                title:  Global Change Master Directory (GCMD) Location Keywords
                date: (missing)
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Bathymetry/Topography
            keyword:  Breaklines
            keyword:  DEM
            keyword:  Digital Elevation Model
            keyword:  LAS
            keyword:  LiDAR
            keyword:  Raster
            keyword:  elevation
            type:  (MD_KeywordTypeCode) theme
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Brantley County
            keyword:  Bryan County
            keyword:  Bulloch County
            keyword:  Camden County
            keyword:  Charlton County
            keyword:  Effingham County
            keyword:  Georgia
            keyword:  Long County
            keyword:  McIntosh County
            keyword:  Screven County
            keyword:  US
            keyword:  Wayne County
            type:  (MD_KeywordTypeCode) place
        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
        descriptiveKeywords:  (MD_Keywords)
            keyword:  Lidar
            type:  (MD_KeywordTypeCode) project
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        resourceConstraints:  (MD_LegalConstraints)
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            otherConstraints:  Cite As: Office for Coastal Management, [Date of Access]: 2010 Coastal Georgia Elevation Project Lidar Data [Data Date Range], https://www.fisheries.noaa.gov/inport/item/48167.
        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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            useConstraints:  (MD_RestrictionCode) otherRestrictions
            otherConstraints:  Access Constraints: None | 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. | Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of the Office for Coastal Management or its partners.
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            classificationSystem: (missing)
            handlingDescription: (missing)
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                title:  NOAA Data Management Plan (DMP)
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                    code:  48167
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                            linkage: https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocm/dmp/pdf/48167.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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                    role: (inapplicable)
            associationType:  (DS_AssociationTypeCode) crossReference
        language:  eng; US
        topicCategory:  (MD_TopicCategoryCode) elevation
        environmentDescription:  MicroStation Version 8; TerraScan Version 10; Optech DASHMap 4.1801; TerraModeler Version 10; GeoCue Version 6.1.21.4; ESRI ArcGIS 9.3.1; Global Mapper Version 11.02; ALS Post Processor 2.70 Build #15; Windows XP Operating System
        extent:  (EX_Extent)
            geographicElement:  (EX_GeographicBoundingBox)
                westBoundLongitude:  -82.284621
                eastBoundLongitude:  -81.119648
                southBoundLatitude:  30.369369
                northBoundLatitude:  33.045639
            temporalElement:  (EX_TemporalExtent)
                extent:
                  TimePeriod:
                    description:   | Currentness: Ground Condition
                    beginPosition:  2010-01-28
                    endPosition:  2010-03-19
        supplementalInformation:  All flights for the project were accomplished with customized aircraft outfitted with state of the art navigation systems and the latest in LiDAR sensor technology. The LiDAR sensors used for this project consisted of Leica ALS 50-II's and ALS 60 and Optech Gemini. Each was configured to meet or exceed the project specifications which included: 1. Multiple Discrete Return, capable of at least 3 returns per pulse with Intensity values for each return. 2. Nominal Pulse Spacing (NPS) no greater than 1 meter with distribution of geometrically usable points expected to be uniform and free from clustering. 3. Scan Angle (total Field-of-View (FOV)) should not exceed 40 degrees. Quality assurance on collections performed using scan angles wider than 34 degrees will be particularly rigorous in the edge-of-swath areas. 4. Accuracy, The National Standard for Spatial Data Accuracy (NSSDA) of 95% confidence level, equal to (RMSEZ * 1.96) in a set of errors assumed to be normally distributed. Fundamental Vertical Accuracy (FVA) of NSSDA RMSEZ = 18cm (NSSDA AccuracyZ 95% = 36 cm) or better; assessment procedures to comply with FEMA guidelines. 5. Horizontal accuracy of 4 feet RMSE or better. Additionally, the Consolidated Vertical Accuracy (computed using NDEP and ASPRS methodology in five (5) separate land cover classes (TBD)) shall meet ASPRS Class 1 (or National Map Accuracy Standard) guidelines for the generation of 2 foot contours (Accuracyz = 36 cm). LiDAR data from different flight lines shall be consistent across flight lines, i.e., there is minimal vertical offset within the noise level of the LiDAR system between adjacent flightlines. Maximum vertical offset between flightlines should be no more than 6 cm. 6. Flightline overlap 20% or greater, as required to ensure there are no data gaps between the usable portions of the swaths. 7. Base stations for GPS surveys shall be based on first or second order survey control stations that are part of the National Geodetic Survey's Spatial Reference System. 8. Collection Area: Defined Project Area, buffered by a minimum of 200*NPS. 9. Tide: +/- 2 hours of low tide. Brantley and Wayne Counties were flown using an Optech Sensor. Bryan, Bulloch, Charlton, Effingham, Long, McIntosh, and Screven Counties were flown using a Leica Sensor. Both sensors were used on Camden County.
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        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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            distributorContact:  (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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                        linkage: https://coast.noaa.gov
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                linkage: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=577
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                linkage: https://coast.noaa.gov/htdata/lidar1_z/geoid18/data/577
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                description:  Simple download of data files.
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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 1.0 meter point spacing or better and vertical accuracy of 18.0 centimeters RMSE or better to support 2' contour generation when combined with breaklines.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  Compiled to meet a horizontal accuracy of 1.2 meters (4 ft) RMSE or better.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Compiled to meet National Standards for Spatial Data Accuracy; For this project, vertical accuracy at the 95% confidence interval must be 36cm or less based on an RMSEz of 18cm x 1.96. ; Quantitative Value: 0.196 meters, Test that produced the value: The vertical accuracy assessment compares the measured survey checkpoint elevations with those of the TIN as generated from the bare-earth LiDAR. The X/Y locations of the survey checkpoints are overlaid on the TIN and the interpolated Z values of the LiDAR are recorded. These interpolated Z values are then compared with the survey checkpoint Z values and this difference represents the amount of error between the measurements. Once all the Z values are recorded, the Root Mean Square Error (RMSEz) is calculated and the vertical accuracy scores are interpolated from the RMSE value. The RMSEz equals the square root of the average of the set of squared differences between the dataset coordinate values and the coordinate values from the survey checkpoints. Based on the vertical accuracy testing conducted by Dewberry using NSSDA and FEMA methodology, fundamental vertical accuracy (FVA) at the 95% confidence level (called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for CGEP satisfies the criteria outlined in project specifications and tested 0.196 m in open terrain, based on RMSEz (0.10 m) x 1.9600 .
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Datasets contain complete coverage of tiles.
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  Deliverables were tested by both Photo Science and Fugro EarthData for both vertical and horizontal 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 software was used in the post processing of the airborne GPS and inertial data that is critical to the positioning and orientation of the sensor during all flights. POSPac MMS provides the smoothed best estimate of trajectory (SBET) that is necessary for Optech's post processor to develop the point cloud from the LiDAR missions. The point cloud is the mathematical three dimensional collection of all returns from all laser pulses as determined from the aerial mission. 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. The point cloud was manipulated within the Optech or Leica software; GeoCue, TerraScan, and TerraModeler software was used for the automated data classification, manual cleanup, and bare earth generation from this data. Project specific macros were used to classify the ground and to remove the side overlap between parallel flight lines. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Class 2 LIDAR was used to create a bare earth surface model. The surface model was then used to heads-up digitize 2D breaklines of inland streams and rivers. The National Elevation Dataset (1/3 arc-second) was used as a supplement to calculate streams with a contributing drainage area of greater than 1 square mile. Inland Ponds, Lakes, and Mudflats of 0.5 acres or greater were also collected along with the Coastal Shoreline. Elevation values were assigned to all Inland Ponds, Lakes, and Shorelines using TerraModeler functionality. Elevation values were assigned to all Inland streams, rivers, and mudflats using Photo Science proprietary software. All Class 2 LIDAR data inside of the collected breaklines were then classified to Class 9 using TerraScan macro functionality. The breakline files were then translated to ESRI Shapefile format using ESRI conversion tools. Data was then run through additional macros to ensure deliverable classification levels matching LAS ASPRS Classification structure. GeoCue functionality was then used to ensure correct LAS Version. In house software was used as a final QA/QC check to provide LAS Analysis of the delivered tiles. Buffered LAS files were created in GeoCue to provide overedge to the DEM creation. These tiles were then run through automated scripting within ArcMap and were combined with the Hydro Flattened Breaklines to create the 4' DEM. Final DEM tiles were clipped to the tile boundary in order to provide a seamless dataset. A manual QA review of the tiles was completed in ArcMap to ensure full coverage with no gaps or slivers within the project area.
                dateTime:
                  DateTime:  2010-01-01T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained lidar elevation and intensity measurements. The data were in State Plane projection (NAD83, Georgia East), and vertically referenced to NAVD88 using the Geoid 09 model. Both horizontal and vertical units were in feet. OCM performed the following processing to the data to make it available within the Digital Coast: 1. The data were converted from Georgia State Plane coordinates to geographic (NAD83) coordinates. 2. The data were converted from orthometric (NAVD88) heights to ellipsoidal heights (GRS80) using Geoid 09. 3. The LAS data were sorted by latitude and the headers were updated.
                dateTime:
                  DateTime:  2011-04-20T00:00:00
            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:  2010-01-01
                        dateType:  (CI_DateTypeCode) publication
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2010-01-28
                            endPosition:  2010-03-19
            processStep:  (LI_ProcessStep)
                description:   The vertical values in this data set have been converted to reference North American Vertical Datum of 1988 (NAVD88) (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:  2021-10-22T05:58:19
                processor:  (CI_ResponsibleParty)
                    individualName:  NOAA Office for Coastal Management
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  coastal.info@noaa.gov
                    role:  (CI_RoleCode) processor