Topobathymetric Model of the Northern Gulf of Mexico, 1888 to 2013
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:49466 | Updated: May 30, 2023 | Published / External
Item Identification
Title: | Topobathymetric Model of the Northern Gulf of Mexico, 1888 to 2013 |
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Short Name: | topobathy_mdl_nrthngulf_of_mexico_metadata_4958 |
Status: | Completed |
Publication Date: | 2014 |
Abstract: |
Accurate, high-resolution elevation information is vital to understanding the highly dynamic Northern Gulf Coast, with Louisiana being the location of North America's largest delta system, and the focus of one of the largest coastal restoration and flood risk reduction efforts in the U.S. (State of Louisiana, 2012). The U.S. Geological Survey's (USGS) Coastal and Marine Geology Program (CMGP) and the National Geospatial Program (NGP) collaborated with the Coastal Protection and Restoration Authority of Louisiana (CPRA) and a number of other federal and state agencies to create a comprehensive topobathymetric elevation model for the Northern Gulf of Mexico (NGOM). The new dataset consists of a detailed and highly accurate elevation model incorporating the best available multi-source topographic and bathymetric elevation data for the Northern Gulf of Mexico (NGOM). The NGOM topobathymetric elevation model integrates over 400 different data sources including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys, and multibeam surveys obtained from USGS, NOAA, the State of Louisiana, the U.S. Army Corps of Engineers, FEMA, and other agencies. The LiDAR and bathymetry 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 data. Because bathymetric data is typically referenced to tidal datums (such as Mean High Water or Mean Sea Level), all tidally-referenced heights were transformed into orthometric heights that are normally used for mapping elevation on land (based on the North American Vertical Datum of 1988). The spatial resolution is 3 meters and extends from the Florida/Alabama border on the east to the Louisiana/Texas border on the west. The temporal range of the input topography and bathymetry is 1888 to 2013. Original contact information: Contact Name: Jeffrey Danielson Contact Org: U.S. Geological Survey Title: Physical Geographer Phone: 605-594-6148 Email: daniels@usgs.gov |
Purpose: |
As a collaboration between the U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP), the National Geospatial Program (NGP), and the NOAA National Geophysical Data Center (NGDC), the CoNED Project integrates disparate light detection and ranging (LiDAR) and bathymetric data sources into a common database aligned both vertically and horizontally to a common reference system. CoNED Project TBDEM elevation model development is focused in select regions around the U.S. Coast, such as in the Northern Gulf of Mexico (NGOM), the Hurricane Sandy Region, the San Francisco Bay Region, the Pacific Northwest, and the North Slope of Alaska. CoNED Project topobathymetric elevation models (TBDEM) 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 also to analyze the impact of various climate change scenarios on coastal regions. The raster elevation topobathymetric elevation product, the Federal Geographic Data Committee (FGDC) metadata, and the spatially referenced metadata are contained in the downloadable bundle. Spatially referenced metadata are contained within an ESRI shapefile that contains footprints for each of the source input areas.
The National Map provides basic elevation information for earth science studies and mapping applications in the United States. The data are utilized by the scientific and resource management communities for global change research, hydrologic modeling, resource monitoring, and mapping and visualization applications. References: USGS Gesch, D.B., 2007, The National Elevation Dataset, in Maune, D., ed., Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition, in Digital Elevation Model Technologies and Applications: The DEM Users Manual, 2nd Edition, Bethesda, Maryland, American Society for Photogrammetry and Remote Sensing, p. 99-118. Barrier Island Comprehensive Monitoring Program (BICM) Bonisteel-Cormier, J.M., Wright, C.W., Fredericks, Xan, Klipp, E.S., Nagle, D.B., Sallenger, A.H., and Brock, J.C., 2013, EAARL coastal topography and imagery-Western Louisiana, post-Hurricane Rita, 2005: first surface: U.S. Geological Survey Data Series 720, 1 DVD, http://pubs.usgs.gov/ds/720. Hansen, M., and Howd, P., 2009, Louisiana barrier-island comprehensive monitoring program (BICM) - Volume 4: Louisiana light detection and ranging data (lidar) Part 1: Lidar systems and data processing techniques: Prepared for the Louisiana Department of Natural Resources, Coastal Restoration Division by the University of New Orleans, Pontchartrain Institute for Environmental Sciences, New Orleans, Louisiana, 22 p. NOAA TBDEM and Bathymetry Love, M., Amante, C., Eakins, B., and Taylor, L., 2010a, Digital elevation models of New Orleans, Louisiana: Procedures, data sources and analysis, report, 44 pp: U.S. Dept. of Commerce NOAA Technical Memorandum NESDIS NGDC-49, 46 p. Love, M., Amante, C., Eakins, B., and Taylor, L., 2010b, Digital Elevation Models of the Northern Gulf Coast: Procedures, Data Sources and Analysis: U.S. Dept. of Commerce NOAA Technical Memorandum NESDIS NGDC-59, 43 p. Love, M., Caldwell, R.J., Eakins, B., and Taylor, L., 2010, Digital Elevation Models of Southern Louisiana: U.S. Dept. of Commerce NOAA Technical Memorandum NESDIS NGDC-49, 40 p. National Geophysical Data Center, 2001. U.S. Coastal Relief Model - Central Gulf of Mexico, 2001, National Geophysical Data Center, NOAA NOAA Technical Memorandum NESDIS NGDC-59. Experimental Advanced Airborne Research Lidar (EAARL) Bonisteel-Cormier, J.M., Nayegandhi, Amar, Fredericks, Xan, Wright, C.W., Brock, J.C., Nagle, D.B., Vivekanandan, Saisudha, and Barras, J.A., 2012, EAARL coastal topography-North Shore, Lake Pontchartrain, Louisiana, 2010: U.S. Geological Survey Data Series 674, 1p., available at http://pubs.usgs.gov/ds/674/ Nayegandhi, A., Bonisteel-Cormier, J.M., Wright, C.W., Brock, J.C., Nagle, D.B., Vivekanandan, S., Fredericks, X., and Barras, J.A., 2012, EAARL coastal topography-Alligator Point, Louisiana: US Department of the Interior, US Geological Survey Data Series 665, 1 p, available at http://pubs.usgs.gov/ds/665/ Nayegandhi, A., Fredericks, X., Bonisteel-Cormier, J.M., Wright, C.W., Brock, J.C., Nagle, D.B., Vivekanandan, S., and Barras, J.A., 2010, EAARL coastal topography-Central Wetlands, Louisiana, 2010: US Department of the Interior, US Geological Survey Data Series 665, 1 p., available at http://pubs.usgs.gov/ds/673/ |
Notes: |
12059 |
Supplemental Information: |
The data obtained through Earth Explorer, http://earthexplorer.usgs.gov, and The National Map Viewer, http://nationalmap.gov/viewer.html, is considered to be the "best available" data from the USGS. For questions on distribution, please refer to the Distribution Section, Contact Information. For processing, please see Data Quality Section, Processing Step, Contact Information. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > TOPOGRAPHICAL RELIEF MAPS
|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
3D Elevation Program | 3D Elevation Program |
3D Elevation Program | 3DEP |
3D Elevation Program | 3DEP-Coastal Zone |
3D Elevation Program | 3DEP-CZ |
3D Elevation Program | Acoustic Sonar |
3D Elevation Program | Bathymetric |
3D Elevation Program | Bathymetry |
3D Elevation Program | CMGP |
3D Elevation Program | Coastal Marine and Geology Program |
3D Elevation Program | Coastal Zone |
3D Elevation Program | DEM |
3D Elevation Program | Digital Elevation Model |
3D Elevation Program | Digital Terrain Model |
3D Elevation Program | DTM |
3D Elevation Program | Elevation |
3D Elevation Program | Hydrologic |
3D Elevation Program | Hydrologic Modeling |
3D Elevation Program | LiDAR |
3D Elevation Program | Light Detection and Ranging |
3D Elevation Program | Surface Model |
3D Elevation Program | Topobathy |
3D Elevation Program | Topobathymetric |
3D Elevation Program | U.S. Geological Survey |
3D Elevation Program | USGS |
American Society of Photogrammetry and Remote Sensing | National Standards for Spatial Digital Accuracy |
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MISSISSIPPI
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS
|
UNCONTROLLED | |
Geographic Names Information System | Abbeville |
Geographic Names Information System | Baker |
Geographic Names Information System | Baton Rouge |
Geographic Names Information System | Bayou Cane |
Geographic Names Information System | Biloxi |
Geographic Names Information System | Bogalusa |
Geographic Names Information System | Chalmette |
Geographic Names Information System | County of Acadia |
Geographic Names Information System | County of Allen |
Geographic Names Information System | County of Ascension |
Geographic Names Information System | County of Assumption |
Geographic Names Information System | County of Avoyelles |
Geographic Names Information System | County of Baldwin |
Geographic Names Information System | County of Beauregard |
Geographic Names Information System | County of Calcasieu |
Geographic Names Information System | County of Cameron |
Geographic Names Information System | County of Concordia |
Geographic Names Information System | County of East Baton Rouge |
Geographic Names Information System | County of East Feliciana |
Geographic Names Information System | County of Evangeline |
Geographic Names Information System | County of George |
Geographic Names Information System | County of Hancock |
Geographic Names Information System | County of Harrison |
Geographic Names Information System | County of Iberia |
Geographic Names Information System | County of Iberville |
Geographic Names Information System | County of Jackson |
Geographic Names Information System | County of Jasper |
Geographic Names Information System | County of Jefferson |
Geographic Names Information System | County of Jefferson Davis |
Geographic Names Information System | County of Lafayette |
Geographic Names Information System | County of LaFourche |
Geographic Names Information System | County of Livingston |
Geographic Names Information System | County of Mobile |
Geographic Names Information System | County of Newton |
Geographic Names Information System | County of Orange |
Geographic Names Information System | County of Orleans |
Geographic Names Information System | County of Pearl River |
Geographic Names Information System | County of Plaquemines |
Geographic Names Information System | County of Pointe Coupee |
Geographic Names Information System | County of Rapides |
Geographic Names Information System | County of St. Bernard |
Geographic Names Information System | County of St. Charles |
Geographic Names Information System | County of St. Helena |
Geographic Names Information System | County of St. James |
Geographic Names Information System | County of St. John The Baptist |
Geographic Names Information System | County of St. Landry |
Geographic Names Information System | County of St. Martin |
Geographic Names Information System | County of St. Mary |
Geographic Names Information System | County of St. Tammany |
Geographic Names Information System | County of Stone |
Geographic Names Information System | County of Tangipahoa |
Geographic Names Information System | County of Terrebonne |
Geographic Names Information System | County of Vermilion |
Geographic Names Information System | County of Vernon |
Geographic Names Information System | County of Washington |
Geographic Names Information System | County of West Baton Rouge |
Geographic Names Information System | County of West Feliciana |
Geographic Names Information System | Crowley |
Geographic Names Information System | Daphne |
Geographic Names Information System | Estelle |
Geographic Names Information System | Eunice |
Geographic Names Information System | Gautier |
Geographic Names Information System | Gretna |
Geographic Names Information System | Groves |
Geographic Names Information System | Gulfport |
Geographic Names Information System | Hammond |
Geographic Names Information System | Harvey |
Geographic Names Information System | Houma |
Geographic Names Information System | Jefferson |
Geographic Names Information System | Jennings |
Geographic Names Information System | Kenner |
Geographic Names Information System | Lafayette |
Geographic Names Information System | Lake Charles |
Geographic Names Information System | Laplace |
Geographic Names Information System | Long Beach |
Geographic Names Information System | Marrero |
Geographic Names Information System | Merrydale |
Geographic Names Information System | Metairie |
Geographic Names Information System | Mobile |
Geographic Names Information System | Morgan City |
Geographic Names Information System | Moss Point |
Geographic Names Information System | Nederland |
Geographic Names Information System | New Iberia |
Geographic Names Information System | New Orleans |
Geographic Names Information System | Ocean Springs |
Geographic Names Information System | Opelousas |
Geographic Names Information System | Orange |
Geographic Names Information System | Orange Grove |
Geographic Names Information System | Pascagoula |
Geographic Names Information System | Picayune |
Geographic Names Information System | Port Arthur |
Geographic Names Information System | Port Neches |
Geographic Names Information System | Prichard |
Geographic Names Information System | River Ridge |
Geographic Names Information System | Saraland |
Geographic Names Information System | Shenandoah |
Geographic Names Information System | Slidell |
Geographic Names Information System | State of Alabama |
Geographic Names Information System | State of Mississippi |
Geographic Names Information System | State of New Orleans |
Geographic Names Information System | State of Texas |
Geographic Names Information System | Sulphur |
Geographic Names Information System | Terrytown |
Geographic Names Information System | Thibodaux |
Geographic Names Information System | Tillmans Corner |
Geographic Names Information System | Timberlane |
Geographic Names Information System | Vidor |
Geographic Names Information System | Westwego |
U.S. Department of Commerce | AL |
U.S. Department of Commerce | LA |
U.S. Department of Commerce | MS |
U.S. Department of Commerce | TX |
U.S. Department of Commerce | U.S. |
U.S. Department of Commerce | United States |
U.S. Department of Commerce | US |
U.S. Department of Commerce | USA |
Physical Location
Organization: | Office for Coastal Management |
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City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
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Maintenance Frequency: | As Needed |
Data Presentation Form: | Map (digital) |
Entity Attribute Overview: |
This collection of high-resolution coastal elevation data is available in a user-friendly Georeferenced Tagged Image File Format (GeoTIFF). The elevation model has floating point numeric values. Areas where data is incomplete due to lack of full image coverage or NoData are represented with the numeric value of -3.40282346639e+038. Spatially referenced metadata are contained within an ESRI vector shapefile that contains footprints with accompanying attribute fields for each of the source input areas. |
Entity Attribute Detail Citation: |
None |
Distribution Liability: |
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made by the USGS regarding the use of the data on any other system, nor does the act of distribution constitute any such warranty. Data may have been compiled from various outside sources. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification. The USGS shall not be liable for any activity involving these data, installation, fitness of the data for a particular purpose, its use, or analyses results. |
Data Set Credit: | Please refer to the Data Quality Section, Source Citations for original source data information. |
Support Roles
Data Steward
Date Effective From: | 2014 |
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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
Date Effective From: | 2014 |
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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
Date Effective From: | 2014 |
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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
Date Effective From: | 2014 |
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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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -75.149816 | |
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E° Bound: | -74.383026 | |
N° Bound: | 40.192277 | |
S° Bound: | 39.53345 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 1888 |
End: | 2013 |
Spatial Information
Spatial Representation
Representations Used
Grid: | Yes |
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Grid Representation 1
Dimension Count: | 3 | ||||
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Cell Geometry: | Point | ||||
Transformation Parameters Available?: | No | ||||
Axis Dimension 1 |
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Axis Dimension 2 |
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Axis Dimension 3 |
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Access Information
Security Class: | Unclassified |
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Security Classification System: |
None |
Security Handling Description: |
None |
Data Access Constraints: |
Any acquisition or use of these data signifies a user's agreement to comprehension and compliance of the USGS Standard Disclaimer. Ensure all portions of metadata are read and clearly understood before using these data in order to protect both user and USGS interests. |
Data Use Constraints: |
There is no guarantee or warranty concerning the accuracy of the data. Users should be aware that temporal changes may have occurred since these data were collected and that some parts of these data may no longer represent actual surface conditions. Users should not use these data for critical applications without a full awareness of its limitations. These data should not be used for navigation purposes. Acknowledgement of the originating agencies would be appreciated in products derived from these data. Any user who modifies the data is obligated to describe the types of modifications they perform. User specifically agrees not to misrepresent the data, nor to imply that changes made were approved or endorsed by the USGS. Please refer to http://www.usgs.gov/privacy.html for the USGS disclaimer. |
Distribution Information
Distribution 1
Download URL: | https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4958 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing area, map projection, file format, etc. |
Distribution 2
Download URL: | https://coast.noaa.gov/htdata/raster2/elevation/Louisiana_Coned_Topobathy_DEM_2014_4958 |
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Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | http://earthexplorer.usgs.gov |
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URL Type: |
Online Resource
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URL 2
URL: | http://nationalmap.gov/viewer.html |
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URL Type: |
Online Resource
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Activity Log
Activity Log 1
Activity Date/Time: | 2017-02-22 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-02-13 |
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Description: |
Partial upload to move data access links to Distribution Info. |
Technical Environment
Description: |
Microsoft Windows 7 Enterprise, Service Pack 1, ESRI ArcGIS v.10.2 |
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Data Quality
Horizontal Positional Accuracy: |
N/A |
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Vertical Positional Accuracy: |
The vertical accuracy of the input topographic data varies depending on the input source. Because the input elevation data were derived primarily from LiDAR, the vertical accuracy ranges from 6 to 23.5 centimeters in root mean square error (RMSE). |
Completeness Measure: |
Cloud Cover: 0 |
Completeness Report: |
Visual inspection |
Conceptual Consistency: |
Visual inspection |
Lineage
Sources
EAARL coastal topography-Chandeleur Islands, Louisiana, 2010
Contact Name: | USGS |
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Publish Date: | 2010-01-01 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2010 |
Source Contribution: |
Nayegandhi, Amar, Bonisteel-Cormier, J.M., Brock, J.C., Sallenger, A.H., Wright, C.W., Nagle, D.B., Vivekanandan, Saisudha, Yates, Xan, and Klipp, E.S., 2010, EAARL coastal topography-Chandeleur Islands, Louisiana, 2010: bare earth: U.S. Geological Survey Data Series 511, 1 DVD. | Source Geospatial Form: document | Type of Source Media: DVD |
Joint Airborne LiDAR Bathymetry (2009) and Post-Hurricane Katrina Levee Surveys (2005)
Contact Name: | United States Army Corps of Engineers (USACE), The Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JABLTCX) |
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Publish Date: | 2009-01-01 |
Extent Type: | Range |
Extent Start Date/Time: | 2005 |
Extent End Date/Time: | 2009 |
Citation URL: | https://coast.noaa.gov/ |
Source Contribution: |
Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce. 2009. 2005 United States Army Corps of Engineers (USACE), The Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JABLTCX), 2009 Coastal Survey 2009., dataset accessed at December 17, 2014 at https://coast.noaa.gov/ Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, U.S. Department of Commerce. 2005. 2005 United States Army Corps of Engineers (USACE) Post-Hurricane Katrina Levee Surveys, 13 - 18 September 2005., dataset accessed at December 17, 2014 at https://coast.noaa.gov/. | Source Geospatial Form: raster digital data | Type of Source Media: Download |
LiDAR Data Collection
Contact Name: | U.S. Geological Survey National Geospatial Technical Operations Center (NGTOC) |
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Publish Date: | 2014-01-01 |
Extent Type: | Range |
Extent Start Date/Time: | 2010 |
Extent End Date/Time: | 2014 |
Citation URL: | http://earthexplorer.usgs.gov |
Source Contribution: |
2010. Atchafalaya LiDAR Data Collection Project (Classified and Unclassified LAS files and Tiled DEMs), Task Order G10PD02495, V1.0, 15 December 2009 to 15 March 2010. U.S. Geological Survey National Geospatial Technical Operations Center, dataset accessed December-17, 2014 at http://earthexplorer.usgs.gov. 2011. ARRA-LA_COASTAL LiDAR Data Collection Project (Classified and Unclassified LAS files and Tiled DEMs), Task Order G10PD02781, V1.0, V1.0, 15 January 2011 to 15 March 2011. U.S. Geological Survey National Geospatial Technical Operations Center, dataset accessed December 17, 2014 at http://earthexplorer.usgs.gov. 2013. Atchafalaya2 LiDAR Data Collection Project (Classified and Unclassified LAS files and Tiled DEMs), Task Order G12PD00075, V3.0, V1.0, 15 December 2012 to 15 March 2013. U.S. Geological Survey National Geospatial Technical Operations Center, dataset accessed December 17, 2014 at http://earthexplorer.usgs.gov. 2014. Jean Lafitte & Barataria LiDAR Data Collection Project (Classified and Unclassified LAS files and Tiled DEMs), Task Order G13PD00214, V1.0, 5 March to 8 March 2013. U.S. Geological Survey National Geospatial Technical Operations Center, dataset accessed December 17, 2014 at http://earthexplorer.usgs.gov. | Source Geospatial Form: raster digital data | Type of Source Media: Download |
Process Steps
Process Step 1
Description: |
The principal methodology for developing the integrated topobathymetric elevation model can be organized into three main components. The "topography component" consists of the land-based elevation data, which is primarily comprised from high-resolution 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 boats rather than bathymetry acquired from LiDAR. The most common forms of bathymetry that are used include: 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) 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 end product 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 NAVD88 and NAD83, UTM. If the source data is not NAVD88, transform the input LiDAR data to NAVD88 reference frame using current National Geodetic Survey (NGS) geoid models. Likewise, if required, convert the input source data to NAD83 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) 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 3-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 Root Mean Square Error (RMSE). |
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Process Date/Time: | 2014-02-01 00:00:00 |
Process Step 2
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 is 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 spatial 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 (Root Mean Square Error) 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. |
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Process Date/Time: | 2014-02-01 00:00:00 |
Process Step 3
Description: |
Mosaic Dataset Processing (Integration) Component: a) Determined priority of input data based on project characteristics, including acquisition dates, cell size, retention of features, water surface treatment, visual inspection and presence of artifacts. b) Develop an ArcGIS geodatabase (Mosaic Dataset) and spatial seamlines for each individual topographic (minimum convex hull boundary) and bathymetric raster layer included in the integrated elevation model. c) Generalize seamline edges to smooth transition boundaries between neighboring raster layers and split complex raster datasets with isolated regions into individual unique raster groups. d) Develop an integrated shoreline transition zone from the best available topographic and bathymetric data to blend the topographic and bathymetric elevation sources. Where feasible, use the minimum convex hull boundary, create a buffer to logically mask input topography/bathymetry data. Then, through the use of TINs, interpolate the selected topographic and bathymetric points to gap-fill, if required any near-shore holes in the bathymetric coverage. Topobathymetric LiDAR data sources such as the EAARL-B or CZMIL systems provide up-to-date, high-resolution data along the critical land/water interface within inter-tidal zone. e) Prioritize and spatially sort the input topographic and bathymetric raster layers based on date of acquisition and accuracy to sequence the raster data in the integrated elevation model. f) Based on the prioritization, spatially mosaic the input raster data sources to create a seamless topobathymetric composite at a cell size of 3 meters using blending (spatial weighting). g) Performed a visual quality assurance (Q/A) assessment on the output composite to review the mosaic seams for artifacts. h) Generate spatially referenced metadata for each unique data source. The spatially reference metadata consists of a group of geospatial polygons that represent the spatial footprint of each data source used in the generation of the topobathymetric dataset. Each polygon is to be populated with 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, bathymetric LiDAR, multi-beam bathymetry, single-beam bathymetry, etc.). |
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Process Date/Time: | 2014-02-01 00:00:00 |
Process Step 4
Description: |
Data were received from USGS by NOAA and ingested into the Digital Coast system for download via custom processing and ftp. Metadata was modified to reflect distribution through this mechanism. |
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Process Date/Time: | 2015-09-01 00:00:00 |
Catalog Details
Catalog Item ID: | 49466 |
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GUID: | gov.noaa.nmfs.inport:49466 |
Metadata Record Created By: | Anne Ball |
Metadata Record Created: | 2017-11-15 15:13+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-05-30 18:09+0000 |
Metadata Record Published: | 2018-02-13 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2018-02-13 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2019-02-13 |