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2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia
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      DateTime:  2022-08-01T15:48:49
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            title:  2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia
            alternateTitle:  ga2022_coned_dem_m9559_metadata
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                date:  2022
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                date:  2022-06-30
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                        linkage: https://www.usgs.gov/special-topics/coastal-national-elevation-database-applications-project
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                        linkage: https://coast.noaa.gov/htdata/raster5/elevation/CoNED_GA_DEM_2022_9559/supplemental
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                        linkage: https://coast.noaa.gov/dataviewer/
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                        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:  To support Hurricane Florence impact modeling of storm-induced flooding and sediment transport, the U.S. Geological Survey (USGS) Coastal National Elevation Database (CoNED) Applications Project has created an integrated 1-meter topobathymetric digital elevation model (TBDEM) for coastal Georgia. High-resolution coastal topobathymetric data are required to characterize flooding, storms, and sea-level rise inundation hazard zones and other earth science applications, such as the development of sediment transport and storm surge models. This TBDEM consists of the best available multi-source topographic and bathymetric elevation data for Coastal Georgia including neighboring bays, estuaries, waterways, inlets, and islands. The Coastal Georgia TBDEM integrates 16 different data sources including topographic and bathymetric data, such as lidar point clouds and multi-beam acoustic surveys obtained USGS, the National Oceanic and Atmospheric Administration, the U.S. Army Corps of Engineers, and Federal Emergency Management Agency. The topographic and bathymetric surveys were sorted and prioritized based on survey date, accuracy, spatial distribution, and point density to develop a model based on the best available elevation and bathymetric data. Because bathymetric data are typically referenced to tidal datums, such as Mean High Water or Mean Low Water, all tidally referenced heights were transformed into orthometric heights based on the GEOID12B geoid, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter with the general location ranging from the South Carolina border to the Georgia/Florida border. The overall temporal range of the input topography and bathymetry is 1851 to 2020 with a maximum depth extending to 44.4 meters. The topography surveys are from 1999-2020. The bathymetry surveys were acquired between 1851 and 2020.This data release was funded by the USGS Coastal and Marine Hazards and Resources Program (CMHRP) for coastal Georgia.
        purpose:  As a collaboration between the U.S. Geological Survey (USGS) Coastal and Marine Hazards and Resources Program, the USGS National Geospatial Program, and the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information, the USGS Coastal National Elevation Database (CoNED) Applications Project integrates disparate light detection and ranging (lidar) and bathymetric data sources into a common three-dimensional (3D) database aligned both vertically and horizontally to a common reference system. The CoNED Project’s topobathymetric digital elevation model (TBDEM) development is focused on select regions around the United States Coast, such as the Northern Gulf of Mexico, Coastal Carolinas, Georgia, Northeast, California Coast, Pacific Northwest, and the North Slope of Alaska. CoNED Project TBDEMs provide a required seamless elevation product for several science application studies, such as shoreline delineation, coastal inundation mapping, sediment-transport, sea-level rise, storm surge models, tsunami impact assessment, and to analyze the impact of various climate change scenarios on coastal regions. The raster TBDEM product in Cloud Optimized GeoTIFF (COG) format, the Federal Geographic Data Committee (FGDC) formatted metadata, spatially referenced metadata, and the spatial metadata data dictionary are contained in the downloadable bundle. Spatially referenced metadata are contained in both an ESRI file geodatabase and Open Geospatial Consortium (OGC) GeoPackage formats that contains footprints for each of the input source areas. References: Danielson, J.J., Poppenga, S.K., Brock, J.C., Evans, G.A., Tyler, D.J., Gesch, D.B., Thatcher, C.A., and Barras, J.A., 2016, Topobathymetric elevation model development using a new methodology-Coastal National Elevation Database: Journal of Coastal Research, SI no. 76, p. 75-89, at http://dx.doi.org/10.2112/SI76-008. Thatcher, C.A., Brock, J.C., Danielson, J.J., Poppenga, S.K., Gesch, D.B., Palaseanu-Lovejoy, M.E., Barras, J.A., Evans, G.A., and Gibbs, A.E., 2016, Creating a Coastal National Elevation Database (CoNED) for science and conservation applications: Journal of Coastal Research, SI no. 76, p. 64-74, at http://dx.doi.org/10.2112/SI76-007. Gesch, Dean B., Oimoen, Michael J., and Evans, Gayla A., 2014, Accuracy assessment of the U.S. Geological Survey National Elevation Dataset, and comparison with other large-area elevation datasets-SRTM and ASTER: U.S. Geological Survey Open-File Report 2014-1008, 10 p., at http://dx.doi.org/10.3133/ofr20141008. Sugarbaker, L.J., Constance, E.W., Heidemann, H.K., Jason, A.L., Lukas, Vicki, Saghy, D.L., and Stoker, J.M., 2014, The 3D Elevation Program initiative—A call for action: U.S. Geological Survey Circular 1399, 35 p Carswell, W.J., Jr., 2013, The 3D Elevation Program—Summary for California: U.S. Geological Survey Fact Sheet 2013–3056, 2 p., http://pubs.usgs.gov/fs/2013/3056/
        credit:  Please refer to the Data Quality Section, Source Citations for original source data information., W. Matthew Cushing (ORCID: 0000-0001-5209-6006) Dean Tyler (ORCID: 0000-0002-1542-7539) Jeffrey Danielson (ORCID: 0000-0003-0907-034X) Sandra Poppenga (ORCID: 0000-0002-2846-6836) Sean Beverly (ORCID: 0000-0002-4825-4056) Rakibul Shogib (ORCID: 0000-0001-6524-7838)
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            keyword:  Coastal National Elevation Database
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            keyword:  Digital Elevation Model
            keyword:  Flood Inundation Modeling
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            otherConstraints:  Cite As: OCM Partners, [Date of Access]: 2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia [Data Date Range], https://www.fisheries.noaa.gov/inport/item/67591.
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            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.
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            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: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. 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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                    beginPosition:  1851
                    endPosition:  2020
        supplementalInformation:  The data obtained through ScienceBase at https://www.sciencebase.gov/catalog/item/627aa0d1d34e8d45aa6e4e72 the "best available" data from the USGS. For questions on distribution, please refer to the Distribution Section, Contact Information. For processing, please refer to the Data Quality Section, Processing Step, Contact Information.
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            title:  W. Matthew Cushing, Tyler, D.J., Danielson, J.J., Sandra Poppenga, Sean Beverly, Rakibul Shogib, 2021, Topobathymetric Model of Coastal Georgia, 1851 to 2020: U.S. Geological Survey data release, at https://doi.org/10.5066/P9J11VV6
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                linkage: https://coast.noaa.gov/htdata/raster5/elevation/CoNED_GA_DEM_2022_9559
                protocol:  WWW:LINK-1.0-http--link
                name:  Bulk Download
                description:  Bulk download of data files in the original coordinate system.
                function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Horizontal Positional Accuracy
            evaluationMethodDescription:  The horizontal accuracy for the integrated topobathymetric digital elevation model (TBDEM) was not assessed quantitatively.
            result: (missing)
        report:  (DQ_AbsoluteExternalPositionalAccuracy)
            nameOfMeasure:  Vertical Positional Accuracy
            evaluationMethodDescription:  Integrated TBDEM Vertical Accuracy Assessment (GEOID12B). The TBDEM root mean square error (RMSE) over the land and nearshore area is 0.46 meters versus 86 National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Global Positioning System (GPS) on Benchmarks (GPSonBM) control distributed throughout the high-resolution lidar areas.
            result: (missing)
        report:  (DQ_CompletenessCommission)
            nameOfMeasure:  Completeness Report
            evaluationMethodDescription:  Data set is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details
            result: (missing)
        report:  (DQ_ConceptualConsistency)
            nameOfMeasure:  Conceptual Consistency
            evaluationMethodDescription:  No formal logical accuracy tests were conducted.
            result: (missing)
        lineage:  (LI_Lineage)
            statement:  This CoNED data set for coastal Georgia was provided to NOAA OCM by USGS for inclusion in the NOAA Digital Coast Data Access Viewer.
            processStep:  (LI_ProcessStep)
                description:  The principal methodology for developing the integrated topobathymetric digital elevation model (TBDEM) can be organized into three main components. The "topography component" consists of the land-based elevation data, which is primarily comprised from high-density lidar data. The topographic source data will include lidar data from different sensors (Topographic, Bathymetric) with distinct spectral wavelengths (NIR-1064nm, Green-532nm). The "bathymetry component" consists of hydrographic sounding (acoustic) data collected using watercraft rather than bathymetry acquired from green laser lidar within an airborne platform. The most common forms of bathymetric acquisitions include are multi-beam, single-beam, and swath. The final component, "integration", encompasses the assimilation of the topographic and bathymetric data along the near-shore based on a predefined set of priorities. The land/water interface (+1 m- -1.5 m elevation) is the most critical area, and green laser systems, such as the Experimental Advanced Airborne Research lidar (EAARL-B) and the Coastal Zone Mapping and Imaging Lidar (CZMIL) that cross the near-shore interface are valuable in developing a seamless transition. The TBDEM created from the topography and bathymetry components is a raster with associated spatial masks and metadata that can be passed to the integration component for final model incorporation. Topo/Bathy Creation Steps: Topography Processing Component: a) Quality control check the vertical and horizontal datum and projection information of the input lidar source to ensure the data is referenced to the North American Vertical Datum of 1988 (NAVD88), the North American Datum of 1983 (NAD83), and the Universal Transverse Mercator (UTM) projection. If the source data is not NAVD88, transform the input lidar data to NAVD88 reference frame using current National Geodetic Survey (NGS) geoid models and NOAA’s Vertical Datums Transformation (VDatum) software. Likewise, if required, convert the input source data to NAD83 2011 and reproject to UTM. b) Check the classification of the topographic lidar data to verify the data are classified with the appropriate classes. If the data have not been classified, then classify the raw point cloud data to non-ground (class 1) ground (class 2), and water (class 9) classes using LP360-Classify. c) Derive associated breaklines from the classified lidar to capture internal water bodies, such as lakes and ponds and inland waterways. Inland waterways and water bodies will be hydro-flattened where no bathymetry is present. d) Extract the ground returns from the classified lidar data and randomly spatial subset the points into two-point sets based on the criteria of 95 percent of the points for the "Actual Selected" set and the remaining 5 percent for the "Test Control" set. The "Actual Selected" points will be gridded in the terrain model along with associated breaklines and masks to generate the topographic surface, while the "Test Control" points will be used to compute the interpolation accuracy, Root Mean Square Error (RMSE) from the derived surface. e) Generate the minimum convex hull boundary from the classified ground lidar points that creates a mask that extracts the perimeter of the exterior lidar points. The mask is then applied in the terrain to remove extraneous terrain artifacts outside of the extent of the ground lidar points. f) Using a terrain model based on triangulated irregular networks (TINs), grid the "Actual Selected" ground points using breaklines and the minimum convex hull boundary mask at a 1-meter spatial resolution using a natural neighbor interpolation algorithm. g) Compute the interpolation accuracy by comparing elevation values in the "Test Control" points to values extracted from the derived gridded surface; report the results in terms of RMSE.
                dateTime:
                  DateTime:  2021-11-08T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Bathymetry Processing Component: a) Quality control check the vertical and horizontal datum and projection information of the input bathymetric source to ensure the data is referenced to NAVD88 and NAD83, UTM. If the source data are not NAVD88, transform the input bathymetric data to NAVD88 reference frame using VDatum. Likewise, if required, convert the input source data to NAD83 and reproject to UTM. b) Prioritize and spatially sort the bathymetry based on date of acquisition, spatial distribution, accuracy, and point density to eliminate any outdated or erroneous points and to minimize interpolation artifacts. c) Randomly subset the bathymetric points into two-point sets based on the criteria of 95 percent of the points for the "Actual Selected" set and the remaining 5 percent for the "Test Control" set. The "Actual Selected" points will be gridded in the empirical Bayesian krigging model along with associated masks to generate the bathymetric surface, while the "Test Control" points will be used to compute the interpolation accuracy (RMSE) from the derived surface. d) Spatially interpolate bathymetric single-beam, multi-beam, and hydrographic survey source data using an empirical Bayesian krigging gridding algorithm. This approach uses a geostatistical interpolation method that accounts for the error in estimating the underlying semivariogram (data structure - variance) through repeated simulations. e) Cross validation - Compare the predicted value in the geostatistical model to the actual observed value to assess the accuracy and effectiveness of model parameters by removing each data location one at a time and predicting the associated data value. The results will be reported in terms of RMSE. f) Compute the interpolation accuracy by comparing elevation values in the "Test Control" points to values extracted from the derived gridded surface; report the results in terms of RMSE.
                dateTime:
                  DateTime:  2021-11-08T00:00:00
            processStep:  (LI_ProcessStep)
                description:  Integration Component: a.) Analyze the input data priority based on project characteristics, including acquisition dates, cell size, retention of features, water surface treatment, visual inspection, and presence of artifacts. b.) Prioritize and spatially sort the input topographic, topobathymetric, and bathymetric raster layers based on date of survey acquisition date, accuracy, spatial distribution, and point density to sequence the raster data in the integrated elevation model. c.) Develop an ArcGIS geodatabase (Mosaic Dataset) and spatial seamlines for each individual topographic, topobathymetric, and bathymetric raster layer included in the integrated elevation model. d.) Create an overview project masking polygon (based on final pilot study AOI) e.) Using Grid Index Features, create a 6000x6000 fishnet feature class for tile-based integration processing f.) Create simple raster (vector) boundaries (custom simple_raster_bnd_batch tool) from the final set of input rasters based on the input priority. The rasters should be prioritized with the highest priority ranking on top and so forth. g.) Generate spatially referenced metadata for each input raster (custom make spatial metadata tool) from the simple raster boundary files, based on the input priority. The boundaries should be prioritized with the lowest priority (input raster layer) ranking on top and so forth. The spatially referenced metadata consists of the group of geospatial polygons that represent the spatial footprint of each data source used in the generation of the TBDEM. Each polygon is populated with raster metadata attributes that describe the source data, such as, resolution, acquisition date, source name, source organization, source contact, source project, source URL, and data type (topographic lidar, topobathymetric lidar, multibeam bathymetry, single-beam bathymetry, etc.). h.) Generalize seamline edges to smooth transition boundaries between neighboring raster layers and split complex raster datasets with isolated regions into individual unique raster groups. i.) Using the spatial metadata and tile fishnet, spatially mosaic (custom make micro mosaic dataset tool) the input raster data sources based on priority to create a seamless topobathymetric composite at a cell size of 1-meter using a linear spatial blending (ten pixel overlapping area) technique between input source layers. j.) Perform a visual quality assurance (Q/A) assessment on the output TBDEM composite to review the integrated mosaic for artifacts and anomalies.
                dateTime:
                  DateTime:  2021-11-08T00:00:00
            processStep:  (LI_ProcessStep)
                description:  The NOAA Office for Coastal Management (OCM) received one tif file for the topobathymetric data for coastal Georgia from the USGS Coastal National Elevation Database (CoNED) Applications Project for inclusion in the NOAA Digital Coast Data Access Viewer. The data were in UTM Zone 17 NAD83(2011), meters coordinates and in NAVD88 (Geoid12B) elevations in meters. The data were at a 1m grid spacing. The data were retiled to 961, cloud optimized GeoTiffs using gdal_retile.py and the horizontal (6346) and vertical (5703) EPSG codes were assigned.
                dateTime:
                  DateTime:  2022-07-29T00:00:00
                processor:  (CI_ResponsibleParty)
                    organisationName:  Office for Coastal Management
                    role:  (CI_RoleCode) processor
            source:  (LI_Source)
                description:  Source Contribution: Nassau County, FL
                sourceCitation:  (CI_Citation)
                    title:  2007 Florida Division of Emergency Management (FDEM) Lidar Project: Nassau County
                    date:  (CI_Date)
                        date:  2008-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2007
            source:  (LI_Source)
                description:  Source Contribution: Charleston, Colleton, Jasper Counties, SC
                sourceCitation:  (CI_Citation)
                    title:  2007 South Carolina LiDAR: Charleston (partial), Jasper, and Colleton Counties
                    date:  (CI_Date)
                        date:  2008-03-26
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://chs.coast.noaa.gov/htdata/raster2/elevation/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2007
            source:  (LI_Source)
                description:  Source Contribution: Chatham County, GA
                sourceCitation:  (CI_Citation)
                    title:  2009 Chatham County, GA, Lidar DEM
                    date:  (CI_Date)
                        date:  2012-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2009
            source:  (LI_Source)
                description:  Source Contribution: Allendale county SC, USA
                sourceCitation:  (CI_Citation)
                    title:  2010 ARRA Lidar: Allendale County (SC)
                    date:  (CI_Date)
                        date:  2011-05-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2010
            source:  (LI_Source)
                description:  Source Contribution: Hampton County SC
                sourceCitation:  (CI_Citation)
                    title:  2010 ARRA Lidar: Hampton County (SC)
                    date:  (CI_Date)
                        date:  2011-05-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://chs.coast.noaa.gov/htdata/lidar1_z/geoid18/data/4803/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2010-03-14
                            endPosition:  2010-03-20
            source:  (LI_Source)
                description:  Source Contribution: Bryan County, GA (only 2/3 southeastern 1/2; northwestern half not available)
                sourceCitation:  (CI_Citation)
                    title:  2010 Coastal Georgia Elevation Project Lidar Data (Bryan County)
                    date:  (CI_Date)
                        date:  2011-04-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2010
            source:  (LI_Source)
                description:  Source Contribution: Brantley, Camden, Charlton, Long, McIntosh, and Wayne counties of GA, USA
                sourceCitation:  (CI_Citation)
                    title:  2010 Lidar DEM: Coastal Georgia
                    date:  (CI_Date)
                        date:  2010-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2010-01-01
                            endPosition:  2010-03-31
            source:  (LI_Source)
                description:  Source Contribution: Florida East Coast
                sourceCitation:  (CI_Citation)
                    title:  2016 USACE NCMP Topobathy Lidar: Florida East Coast
                    date:  (CI_Date)
                        date:  2016-12-15
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  USACE JALBTCX
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: VA, NC, SC, GA and FL
                sourceCitation:  (CI_Citation)
                    title:  2016 USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA and FL)
                    date:  (CI_Date)
                        date:  2017-02-15
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/raster2/elevation/USACE_post_matthew_DEM_2016_6234
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  2016-10-01
                            endPosition:  2016-12-01
            source:  (LI_Source)
                description:  Source Contribution: Coastal SC
                sourceCitation:  (CI_Citation)
                    title:  2016-2017 NOAA NGS Topobathy: Coastal South Carolina
                    date:  (CI_Date)
                        date:  2018-08-24
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2016
            source:  (LI_Source)
                description:  Source Contribution: FL East Coast, Keys, and Collier County
                sourceCitation:  (CI_Citation)
                    title:  2017 USACE FEMA Topobathy Lidar: Florida East Coast, Florida Keys, and Collier County (Post-Irma)
                    date:  (CI_Date)
                        date:  2017-10-02
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  USACE JALBTCX
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/lidar1_z/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2017
            source:  (LI_Source)
                description:  Source Contribution: Coast of NC, SC, GA and FL
                sourceCitation:  (CI_Citation)
                    title:  Continuously Updated Digital Elevation Model (CUDEM) - Third Arc-Second Resolution Bathymetric-Topographic Tiles
                    date:  (CI_Date)
                        date:  2019-01-24
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  NOAA
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://coast.noaa.gov/htdata/raster2/elevation/NCEI_third_Topobathy_2014_8580/
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimePeriod:
                            beginPosition:  1851
                            endPosition:  2018
            source:  (LI_Source)
                description:  Source Contribution: NC, SC, and GA
                sourceCitation:  (CI_Citation)
                    title:  Elevation Void Fill (method used to interpolate elevation in cases where no-data gap occurs)
                    date:  (CI_Date)
                        date:  2021-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  USGS
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
                                description:  Source Citation URL
                                function:  (CI_OnLineFunctionCode) information
                        role: (inapplicable)
                sourceExtent:  (EX_Extent)
                    temporalElement:  (EX_TemporalExtent)
                        extent:
                          TimeInstant:
                            timePosition:  2021
            source:  (LI_Source)
                description:  Source Contribution: GA
                sourceCitation:  (CI_Citation)
                    title:  NOAA NCEI CUDEM 1/3-1/9 Channel Filter
                    date:  (CI_Date)
                        date:  2021-01-01
                        dateType:  (CI_DateTypeCode) publication
                    citedResponsibleParty:  (CI_ResponsibleParty)
                        organisationName:  USGS
                        contactInfo:  (CI_Contact)
                            onlineResource:  (CI_OnlineResource)
                                linkage: https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm
                                protocol:  WWW:LINK-1.0-http--link
                                name:  Source Citation URL
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