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Short Citation:
OCM Partners, 2023: 2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia, https://www.fisheries.noaa.gov/inport/item/67591.

Item Identification

Title: 2022 USGS CoNED Topobathymetric Model (1851 - 2020): Coastal Georgia
Short Name: ga2022_coned_dem_m9559_metadata
Status: Completed
Creation Date: 2022
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 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/

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.

Keywords

Theme Keywords

Thesaurus Keyword
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
UNCONTROLLED
USGS Metadata Identifier USGS:5d7641bee4b0c4f70d01f564
None 3D Elevation Program
None 3DEP
None Bathymetric
None Bathymetry
None Coastal and Marine Hazards and Resources Program
None Coastal National Elevation Database
None Coastal Zone
None CoNED
None Digital Elevation Model
None Flood Inundation Modeling
None Hurricane Florence
None Hydrologic Modeling
None lidar
None Light Detection and Ranging
None National Standards for Spatial Digital Accuracy
None Sonar
None Topobathymetric
None U.S. Geological Survey
None USGS

Spatial Keywords

Thesaurus Keyword
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
UNCONTROLLED
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

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
AIRCRAFT

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: As Needed
Data Presentation Form: Raster Digital Data Set
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

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

Data Steward

CC ID: 1179029
Date Effective From: 2022
Date Effective To:
Contact (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
URL: https://coast.noaa.gov

Distributor

CC ID: 1179028
Date Effective From: 2022
Date Effective To:
Contact (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
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 1179030
Date Effective From: 2022
Date Effective To:
Contact (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
URL: https://coast.noaa.gov

Point of Contact

CC ID: 1179031
Date Effective From: 2022
Date Effective To:
Contact (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
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1179034
W° Bound: -82.15
E° Bound: -80.77
N° Bound: 32.835
S° Bound: 30.43

Extent Group 1 / Time Frame 1

CC ID: 1179033
Time Frame Type: Range
Start: 1851
End: 2020

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Reference Systems

Reference System 1

CC ID: 1179087

Coordinate Reference System

CRS Type: Vertical
EPSG Code: EPSG:5703
EPSG Name: NAVD88 height
See Full Coordinate Reference System Information

Reference System 2

CC ID: 1179088

Coordinate Reference System

CRS Type: Projected
EPSG Code: EPSG:6346
EPSG Name: NAD83(2011) / UTM zone 17N
See Full Coordinate Reference System Information

Access Information

Security Class: Unclassified
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.

Distribution Information

Distribution 1

CC ID: 1179036
Start Date: 2022-07-29
End Date: Present
Download URL: https://chs.coast.noaa.gov/htdata/raster5/elevation/CoNED_GA_DEM_2022_9559
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 Type: GeoTIFF

Distribution 2

CC ID: 1179035
Start Date: 2022-07-29
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 Type: Zip
Compression: Zip

URLs

URL 1

CC ID: 1179025
URL: https://coast.noaa.gov/
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 2

CC ID: 1179026
URL: https://coast.noaa.gov/dataviewer/
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 3

CC ID: 1179090
URL: https://coast.noaa.gov/htdata/raster5/elevation/CoNED_GA_DEM_2022_9559/supplemental
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 4

CC ID: 1179178
URL: https://coast.noaa.gov/htdata/raster5/elevation/CoNED_GA_DEM_2022_9559/supplemental/ga2022_coned_m9559.kmz
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: KMZ
Description:

Link to the data set footprint.

URL 5

CC ID: 1179179
URL: https://www.usgs.gov/special-topics/coastal-national-elevation-database-applications-project
Name: USGS CoNED Applications Project
URL Type:
Online Resource
File Resource Format: HTML
Description:

Link to the USGS CoNED Applications Project

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.

Data Quality

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.

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.

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.

Sources

2007 Florida Division of Emergency Management (FDEM) Lidar Project: Nassau County

CC ID: 1179012
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2008-01-01
Extent Type: Discrete
Extent Start Date/Time: 2007
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Nassau County, FL

2007 South Carolina LiDAR: Charleston (partial), Jasper, and Colleton Counties

CC ID: 1179013
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2008-03-26
Extent Type: Discrete
Extent Start Date/Time: 2007
Citation URL: https://chs.coast.noaa.gov/htdata/raster2/elevation/
Source Contribution:

Charleston, Colleton, Jasper Counties, SC

2009 Chatham County, GA, Lidar DEM

CC ID: 1179014
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2012-01-01
Extent Type: Discrete
Extent Start Date/Time: 2009
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Chatham County, GA

2010 ARRA Lidar: Allendale County (SC)

CC ID: 1179017
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2011-05-01
Extent Type: Discrete
Extent Start Date/Time: 2010
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Allendale county SC, USA

2010 ARRA Lidar: Hampton County (SC)

CC ID: 1179020
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2011-05-01
Extent Type: Range
Extent Start Date/Time: 2010-03-14
Extent End Date/Time: 2010-03-20
Citation URL: https://chs.coast.noaa.gov/htdata/lidar1_z/geoid18/data/4803/
Source Contribution:

Hampton County SC

2010 Coastal Georgia Elevation Project Lidar Data (Bryan County)

CC ID: 1179015
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2011-04-01
Extent Type: Discrete
Extent Start Date/Time: 2010
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Bryan County, GA (only 2/3 southeastern 1/2; northwestern half not available)

2010 Lidar DEM: Coastal Georgia

CC ID: 1179016
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2010-01-01
Extent Type: Range
Extent Start Date/Time: 2010-01-01
Extent End Date/Time: 2010-03-31
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Brantley, Camden, Charlton, Long, McIntosh, and Wayne counties of GA, USA

2016 USACE NCMP Topobathy Lidar: Florida East Coast

CC ID: 1179008
Contact Type: Organization
Contact Name: USACE JALBTCX
Publish Date: 2016-12-15
Extent Type: Discrete
Extent Start Date/Time: 2016
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Florida East Coast

2016 USACE Post-Matthew Topobathy Lidar: Southeast Coast (VA, NC, SC, GA and FL)

CC ID: 1179019
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2017-02-15
Extent Type: Range
Extent Start Date/Time: 2016-10-01
Extent End Date/Time: 2016-12-01
Citation URL: https://coast.noaa.gov/htdata/raster2/elevation/USACE_post_matthew_DEM_2016_6234
Source Contribution:

VA, NC, SC, GA and FL

2016-2017 NOAA NGS Topobathy: Coastal South Carolina

CC ID: 1179007
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2018-08-24
Extent Type: Discrete
Extent Start Date/Time: 2016
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

Coastal SC

2017 USACE FEMA Topobathy Lidar: Florida East Coast, Florida Keys, and Collier County (Post-Irma)

CC ID: 1179009
Contact Type: Organization
Contact Name: USACE JALBTCX
Publish Date: 2017-10-02
Extent Type: Discrete
Extent Start Date/Time: 2017
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

FL East Coast, Keys, and Collier County

Continuously Updated Digital Elevation Model (CUDEM) - Third Arc-Second Resolution Bathymetric-Topographic Tiles

CC ID: 1179011
Contact Type: Organization
Contact Name: NOAA
Publish Date: 2019-01-24
Extent Type: Range
Extent Start Date/Time: 1851
Extent End Date/Time: 2018
Citation URL: https://coast.noaa.gov/htdata/raster2/elevation/NCEI_third_Topobathy_2014_8580/
Source Contribution:

Coast of NC, SC, GA and FL

Elevation Void Fill (method used to interpolate elevation in cases where no-data gap occurs)

CC ID: 1179006
Contact Type: Organization
Contact Name: USGS
Publish Date: 2021-01-01
Extent Type: Discrete
Extent Start Date/Time: 2021
Citation URL: https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm
Source Contribution:

NC, SC, and GA

NOAA NCEI CUDEM 1/3-1/9 Channel Filter

CC ID: 1179005
Contact Type: Organization
Contact Name: USGS
Publish Date: 2021-01-01
Extent Type: Discrete
Extent Start Date/Time: 2021
Citation URL: https://pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/elevation-void-fill-function.htm
Source Contribution:

GA

USACE NCMP Topobathy Lidar East Coast (NY, NJ, DE, MD, VA, NC, SC, GA)

CC ID: 1179010
Contact Type: Organization
Contact Name: USACE JALBTCX
Publish Date: 2017-01-01
Extent Type: Discrete
Extent Start Date/Time: 2017
Citation URL: https://coast.noaa.gov/htdata/lidar1_z/
Source Contribution:

NY, NJ, DE, MD, VA, NC, SC, and GA

USGS NED 1/3 arc-second

CC ID: 1179018
Contact Type: Organization
Contact Name: USGS
Publish Date: 2013-01-01
Extent Type: Range
Extent Start Date/Time: 1999
Extent End Date/Time: 2013
Citation URL: https://www.sciencebase.gov/catalog/item/4f70aa9fe4b058caae3f8de5
Source Contribution:

GA

Process Steps

Process Step 1

CC ID: 1179021
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

Process Step 2

CC ID: 1179022
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

Process Step 3

CC ID: 1179023
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

Process Step 4

CC ID: 1179089
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.

Process Date/Time: 2022-07-29 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 67591
GUID: gov.noaa.nmfs.inport:67591
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2022-07-29 15:19+0000
Metadata Record Last Modified By: Rebecca Mataosky
Metadata Record Last Modified: 2022-10-05 13:32+0000
Metadata Record Published: 2022-08-01
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-08-01
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-08-01