2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia
OCM Partners
Data Set
(DS)
| ID: 67591
| Published / External
Created: 2022-07-29
|
Last Modified: 2024-01-10
Project (PRJ) | ID: 49404
ID: 67591
Data Set (DS)
* Discovery• First Pass
» Metadata Rubric
Item Identification
* » Title | 2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia |
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Short Name | ga2022_coned_dem_m9559_metadata |
* Status | Completed |
Creation Date | 2022 |
Revision Date | |
• Publication Date | 2022-06-30 |
* » 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 Projectâs 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 initiativeâA call for action: U.S. Geological Survey Circular 1399, 35 p Carswell, W.J., Jr., 2013, The 3D Elevation ProgramâSummary for California: U.S. Geological Survey Fact Sheet 2013â3056, 2 p., http://pubs.usgs.gov/fs/2013/3056/ |
Notes | |
Other Citation Details | |
• Supplemental Information |
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. |
DOI (Digital Object Identifier) | |
DOI Registration Authority | |
DOI Issue Date |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY |
Global Change Master Directory (GCMD) Science Keywords | EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION |
ISO 19115 Topic Category | elevation |
USGS Metadata Identifier | USGS:5d7641bee4b0c4f70d01f564 |
None | 3DEP |
None | Coastal and Marine Hazards and Resources Program |
None | Coastal Zone |
None | CoNED |
None | Hurricane Florence |
None | Light Detection and Ranging |
None | National Standards for Spatial Digital Accuracy |
None | Sonar |
None | U.S. Geological Survey |
None | USGS |
Temporal Keywords
Thesaurus | Keyword |
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* Spatial Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA |
Global Change Master Directory (GCMD) Location Keywords | CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > GEORGIA |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > LAND SURFACE |
Global Change Master Directory (GCMD) Location Keywords | VERTICAL LOCATION > SEA FLOOR |
Geographic Names Information System | County of Brantley, GA |
Geographic Names Information System | County of Bryan, GA |
Geographic Names Information System | County of Bulloch, GA |
Geographic Names Information System | County of Camden, GA |
Geographic Names Information System | County of Charlton, GA |
Geographic Names Information System | County of Chatham, GA |
Geographic Names Information System | County of Effingham, GA |
Geographic Names Information System | County of Glynn, GA |
Geographic Names Information System | County of Liberty, GA |
Geographic Names Information System | County of Long, GA |
Geographic Names Information System | County of McIntosh, GA |
Geographic Names Information System | County of Screven, GA |
Geographic Names Information System | County of Wayne, GA |
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Instit | GA |
U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D.C., National Instit | Georgia |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | U.S. |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | United States |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | US |
U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard 10-4,): Washington, D.C., National Institute of Standards and Technology | USA |
Stratum Keywords
Thesaurus | Keyword |
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Instrument Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Instrument Keywords | LIDAR > Light Detection and Ranging |
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords | Airplane > Airplane |
Physical Location
• » Organization | Office for Coastal Management |
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• » City | Charleston |
• » State/Province | SC |
• Country | |
• » Location Description |
Data Set Information
* Data Set Scope Code | Data Set |
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• Data Set Type | Elevation |
• Maintenance Frequency | As Needed |
Maintenance Note | |
» Data Presentation Form | Raster Digital Data Set |
• Entity Attribute Overview | |
Entity Attribute Detail Citation |
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 |
Entity Attribute Detail URL | |
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. |
Data Set 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) |
Support Roles
* » Support Role | Data Steward |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Distributor |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Metadata Contact |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | Point of Contact |
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* » Date Effective From | 2022 |
Date Effective To | |
Organization | NOAA Office for Coastal Management (NOAA/OCM) |
Address |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address | coastal.info@noaa.gov |
Phone | (843) 740-1202 |
Fax | |
Mobile | |
URL | https://coast.noaa.gov |
Business Hours | |
Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
Date Effective To | |
* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
* » Support Role | |
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* » Date Effective From | |
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* » Contact | |
* Contact Instructions |
Extents
Currentness Reference | Ground Condition |
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Extent Group 1
Extent Description |
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Extent Group 1 / Geographic Area 1
* » W° Bound | -82.15 |
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* » E° Bound | -80.77 |
* » N° Bound | 32.835 |
* » S° Bound | 30.43 |
* » Description |
Extent Group 1 / Vertical Extent
EPSG Code | |
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Vertical Minimum | |
Vertical Maximum |
Extent Group 1 / Time Frame 1
* » Time Frame Type | Range |
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* » Start | 1851 |
End | 2020 |
Alternate Start As Of Info | |
Alternate End As Of Info | |
Description |
Spatial Information
Spatial Resolution
Angular Distance | |
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Horizontal Distance | |
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Equivalent Scale Denominator | |
Level of Detail Description |
Spatial Representation
Grid Representation Used? | Yes |
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Vector Representation Used? | |
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TIN Representation Used? | |
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Video Representation Used? |
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Reference Systems
Reference System
EPSG Code | EPSG:5703 | ||||||||||||||||||||||||||||
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EPSG Code | EPSG:6346 | ||||||||||||||||||||||||||||
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Access Information
Data License | |
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Data License URL | |
Data License Statement | |
* » Security Class | Unclassified |
* Security Classification System | |
Security Handling Description | |
• Data Access Policy | |
» Data Access Procedure |
Data is available online for bulk and custom downloads. |
• » Data Access Constraints |
None |
• Data 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. |
Metadata Access Constraints | |
Metadata Use Constraints |
Distribution Information
Start Date | 2022-07-29 |
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End Date | Present |
» Download URL | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9559/details/9559 |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name | Customized Download |
Description |
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base. |
File Date/Time | |
File Type (Deprecated) | Zip |
Distribution Format | |
File Size | |
Application Version | |
Compression | Zip |
Review Status |
Start Date | 2022-07-29 |
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End Date | Present |
» Download URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_GA_DEM_2022_9559/index.html |
Distributor | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name | Bulk Download |
Description |
Bulk download of data files in the original coordinate system. |
File Date/Time | |
File Type (Deprecated) | GeoTIFF |
Distribution Format | GeoTIFF |
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Archive Information
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URLs
URL | https://coast.noaa.gov/ |
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Name | NOAA's Office for Coastal Management (OCM) website |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
Information on the NOAA Office for Coastal Management (OCM) |
URL | https://coast.noaa.gov/dataviewer/ |
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Name | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type | Online Resource |
File Resource Format | HTML |
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. |
URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_GA_DEM_2022_9559/supplemental/index.html |
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Name | Geospatial Metadata |
URL Type | Online Resource |
File Resource Format | Zip |
Description |
Link to the spatial metadata data dictionary and the spatially referenced metadata in ESRI file geodatabase (gdb) and Open Geospatial Consortium (OGC) GeoPackage (gpkg) formats. |
URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_GA_DEM_2022_9559/supplemental/ga2022_coned_m9559.kmz |
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Name | Browse Graphic |
URL Type | Browse Graphic |
File Resource Format | KMZ |
Description |
Link to the data set footprint. |
URL | https://www.usgs.gov/special-topics/coastal-national-elevation-database-applications-project |
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Name | USGS CoNED Applications Project |
URL Type | Online Resource |
File Resource Format | HTML |
Description |
Link to the USGS CoNED Applications Project |
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Activity Log
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Issues
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Issue |
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Issue |
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Author | |
Issue |
Technical Environment
Description |
For usability, Esri ArcGIS 10.8.1, Esri ArcGIS Pro 2.9, GeoCue LP360, Global Mapper, Geospatial Data Abstraction Library (GDAL), or equivalent GIS processing software and supporting operating systems are suggested for viewing the spatial metadata. |
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Data Quality
Representativeness | |
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Accuracy | |
Analytical Accuracy | |
Horizontal Positional Accuracy |
The horizontal accuracy for the integrated topobathymetric digital elevation model (TBDEM) was not assessed quantitatively. |
Vertical Positional Accuracy |
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. |
Quantitation Limits | |
Bias | |
Comparability | |
Completeness Measure | |
Precision | |
Analytical Precision | |
Field Precision | |
Sensitivity | |
Detection Limit | |
Completeness Report |
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 |
Conceptual Consistency |
No formal logical accuracy tests were conducted. |
» Quality Control Procedures Employed |
Data Management
» Have Resources for Management of these Data Been Identified? | |
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» Approximate Percentage of Budget for these Data Devoted to Data Management | |
» Do these Data Comply with the Data Access Directive? | |
» Is Access to the Data Limited Based on an Approved Waiver? | |
» If Distributor (Data Hosting Service) is Needed, Please Indicate | |
» Approximate Delay Between Data Collection and Dissemination | |
» If Delay is Longer than Latency of Automated Processing, Indicate Under What Authority Data Access is Delayed |
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» Actual or Planned Long-Term Data Archive Location | |
» If World Data Center or Other, Specify | |
» If To Be Determined, Unable to Archive, or No Archiving Intended, Explain |
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» Approximate Delay Between Data Collection and Archiving | |
» How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive? |
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Lineage
» 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. |
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Sources
Citation Title | 2007 Florida Division of Emergency Management (FDEM) Lidar Project: Nassau County |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2008-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2007 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
Nassau County, FL |
Citation Title | 2007 South Carolina LiDAR: Charleston (partial), Jasper, and Colleton Counties |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2008-03-26 |
Extent Type | Discrete |
Extent Start Date/Time | 2007 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/ |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
Charleston, Colleton, Jasper Counties, SC |
Citation Title | 2009 Chatham County, GA, Lidar DEM |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2012-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2009 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
Chatham County, GA |
Citation Title | 2010 ARRA Lidar: Allendale County (SC) |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2011-05-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2010 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
Allendale county SC, USA |
Citation Title | 2010 ARRA Lidar: Hampton County (SC) |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2011-05-01 |
Extent Type | Range |
Extent Start Date/Time | 2010-03-14 |
Extent End Date/Time | 2010-03-20 |
Scale Denominator | |
Citation URL | https://chs.coast.noaa.gov/htdata/lidar1_z/geoid18/data/4803/ |
Citation URL Name | |
Citation URL Description | |
Source Contribution |
Hampton County SC |
Citation Title | 2010 Coastal Georgia Elevation Project Lidar Data (Bryan County) |
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Contact Role Type | |
Contact Type | |
Contact Name | |
Publish Date | 2011-04-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2010 |
Extent End Date/Time | |
Scale Denominator | |
Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Bryan County, GA (only 2/3 southeastern 1/2; northwestern half not available) |
Citation Title | 2010 Lidar DEM: Coastal Georgia |
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Publish Date | 2010-01-01 |
Extent Type | Range |
Extent Start Date/Time | 2010-01-01 |
Extent End Date/Time | 2010-03-31 |
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Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Brantley, Camden, Charlton, Long, McIntosh, and Wayne counties of GA, USA |
Citation Title | 2016 USACE NCMP Topobathy Lidar: Florida East Coast |
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Publish Date | 2016-12-15 |
Extent Type | Discrete |
Extent Start Date/Time | 2016 |
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Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Florida East Coast |
Citation Title | 2016 USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA and FL) |
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Publish Date | 2017-02-15 |
Extent Type | Range |
Extent Start Date/Time | 2016-10-01 |
Extent End Date/Time | 2016-12-01 |
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Citation URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/USACE_post_matthew_DEM_2016_6234/index.html |
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VA, NC, SC, GA and FL |
Citation Title | 2016-2017 NOAA NGS Topobathy: Coastal South Carolina |
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Publish Date | 2018-08-24 |
Extent Type | Discrete |
Extent Start Date/Time | 2016 |
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Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Coastal SC |
Citation Title | 2017 USACE FEMA Topobathy Lidar: Florida East Coast, Florida Keys, and Collier County (Post-Irma) |
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Publish Date | 2017-10-02 |
Extent Type | Discrete |
Extent Start Date/Time | 2017 |
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Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Source Contribution |
FL East Coast, Keys, and Collier County |
Citation Title | Continuously Updated Digital Elevation Model (CUDEM) - Third Arc-Second Resolution Bathymetric-Topographic Tiles |
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Publish Date | 2019-01-24 |
Extent Type | Range |
Extent Start Date/Time | 1851 |
Extent End Date/Time | 2018 |
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Citation URL | https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NCEI_third_Topobathy_2014_8580/ |
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Source Contribution |
Coast of NC, SC, GA and FL |
Citation Title | Elevation Void Fill (method used to interpolate elevation in cases where no-data gap occurs) |
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Publish Date | 2021-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2021 |
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Citation URL | https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm |
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NC, SC, and GA |
Citation Title | NOAA NCEI CUDEM 1/3-1/9 Channel Filter |
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Publish Date | 2021-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2021 |
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Citation URL | https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm |
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GA |
Citation Title | USACE NCMP Topobathy Lidar East Coast (NY, NJ, DE, MD, VA, NC, SC, GA) |
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Publish Date | 2017-01-01 |
Extent Type | Discrete |
Extent Start Date/Time | 2017 |
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Citation URL | https://coast.noaa.gov/htdata/lidar1_z/ |
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Source Contribution |
NY, NJ, DE, MD, VA, NC, SC, and GA |
Citation Title | USGS NED 1/3 arc-second |
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Publish Date | 2013-01-01 |
Extent Type | Range |
Extent Start Date/Time | 1999 |
Extent End Date/Time | 2013 |
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Citation URL | https://www.sciencebase.gov/catalog/item/4f70aa9fe4b058caae3f8de5 |
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GA |
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Process Steps
Process Step Number | 1 |
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» 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. |
Process Date/Time | 2021-11-08 00:00:00 |
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Process Step Number | 2 |
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» 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. |
Process Date/Time | 2021-11-08 00:00:00 |
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Process Step Number | 3 |
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» 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. |
Process Date/Time | 2021-11-08 00:00:00 |
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Process Step Number | 4 |
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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. |
Process Date/Time | 2022-07-29 00:00:00 |
Process Contact | Office for Coastal Management (OCM) |
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Acquisition Information
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Catalog Details
Catalog Item ID | 67591 |
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Metadata Record Created By | Rebecca Mataosky |
Metadata Record Created | 2022-07-29 15:19+0000 |
Metadata Record Last Modified By | Kirk Waters |
» Metadata Record Last Modified | 2024-01-10 19:26+0000 |
Metadata Record Published | 2024-01-10 |
Owner Org | OCMP |
Metadata Publication Status | Published Externally |
Do Not Publish? | N |
Metadata Workflow State | Published / External |
Metadata Last Review Date | 2022-08-01 |
Metadata Review Frequency | 1 Year |
Metadata Next Review Date | 2023-08-01 |
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