67613 ngom2022_coned_m9562_metadata Data Set Published / External 49404 DEMs - partner (no harvest) Project Completed 2022 2022-05-31 To support U.S. Army Corps of Engineers (USACE) storm surge modeling for the Louisiana Coastal Protection and Restoration Authority (CPRA), Lowermost Mississippi River Management Program (LMRMP), 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 the Northern Gulf of Mexico (NGOM)-2. High-resolution coastal topobathymetric data are required to model 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. The new TBDEM consists of the best available multi-source topographic and bathymetric elevation data for the region including neighboring islands, bays, marsh, waterways, and inlets. The NGOM-2 TBDEM integrates 286 different data sources including topographic and bathymetric data, such as lidar point clouds and acoustic surveys obtained from USGS 3D Elevation Program (3DEP), the National Oceanic and Atmospheric Administration, USACE, U.S. Department of Agriculture Natural Resources Conservation Service, Louisiana CPRA, Louisiana Department of Transportation, Lake Pontchartrain Basin Foundation, and the Texas Natural Resources Information System. 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 datum, which is normally used for mapping elevation on land using the North American Vertical Datum of 1988. The spatial horizontal resolution is 1-meter. The general location ranges from the old river control structure on the Mississippi River in the north to the Mississippi River delta in the south and extending from the Texas/Louisiana border on the west to the Alabama/Florida border on the east. The overall temporal range of the input topography and bathymetry is 1885 to 2021 with a maximum depth extending to 2,358 meters. The topography surveys are from 2002-2020. The bathymetry surveys were acquired between 1885 and 2021. The data release and all related items of information were prepared by USGS through a sub-contract with the Louisiana Coastal Protection and Restoration Authority, who was funded under Award No. GNTCP18LA0035 from the Gulf Coast Ecosystem Restoration Council (RESTORE Council). The data, statements, findings, conclusions, and recommendations are those of the author[s] and do not necessarily reflect any determinations, views, or policies of the RESTORE Council. This data release was also co-funded by the USGS Coastal and Marine Hazards and Resources Program (CMHRP) for the Northern Gulf of Mexico (NGOM2). 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, 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, the Federal Geographic Data Committee metadata, spatially referenced metadata, data management plan, and the spatial metadata data dictionary are contained in the downloadable bundle. Spatially referenced metadata are encompassed within a geodatabase and geospatial map package that contain 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/ The data obtained through ScienceBase at https://www.sciencebase.gov/catalog/item/61df2301d34ed79294021f13 are 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 refer to the Data Quality Section, Processing Step, Contact Information. Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION > DIGITAL ELEVATION/TERRAIN MODEL (DEM) Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY Theme Global Change Master Directory (GCMD) Science Keywords EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION Theme ISO 19115 Topic Category elevation Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALABAMA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > LOUISIANA Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MISSISSIPPI Spatial Global Change Master Directory (GCMD) Location Keywords CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > TEXAS Spatial Global Change Master Directory (GCMD) Location Keywords OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF AMERICA Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > LAND SURFACE Spatial Global Change Master Directory (GCMD) Location Keywords VERTICAL LOCATION > SEA FLOOR Instrument Global Change Master Directory (GCMD) Instrument Keywords LIDAR > Light Detection and Ranging Platform Global Change Master Directory (GCMD) Platform Keywords Airplane > Airplane Theme 3DEP Theme Acoustic Sonar Theme CoNED Theme Coastal Zone Theme Coastal and Marine Hazards and Resources Program Theme Light Detection and Ranging Theme Louisiana Coastal Protection and Restoration Authority (CPRA) Theme Lowermost Mississippi River Management Program (LMRMP) Theme National Standards for Spatial Digital Accuracy Theme U.S. Geological Survey Theme USGS Spatial Geographic Names Information System County of Acadia, LA Spatial Geographic Names Information System County of Allen, LA Spatial Geographic Names Information System County of Amite, MS Spatial Geographic Names Information System County of Ascension, LA Spatial Geographic Names Information System County of Assumption, LA Spatial Geographic Names Information System County of Avoyelles, LA Spatial Geographic Names Information System County of Baldwin, AL Spatial Geographic Names Information System County of Beauregard, LA Spatial Geographic Names Information System County of Calcasieu, LA Spatial Geographic Names Information System County of Cameron, LA Spatial Geographic Names Information System County of Concordia, LA Spatial Geographic Names Information System County of East Baton Rouge, LA Spatial Geographic Names Information System County of East Feliciana, LA Spatial Geographic Names Information System County of Escambia, FL Spatial Geographic Names Information System County of Evangeline, LA Spatial Geographic Names Information System County of Forrest, MS Spatial Geographic Names Information System County of George, MS Spatial Geographic Names Information System County of Greene, MS Spatial Geographic Names Information System County of Hancock, MS Spatial Geographic Names Information System County of Harrison, MS Spatial Geographic Names Information System County of Iberia, LA Spatial Geographic Names Information System County of Iberville, LA Spatial Geographic Names Information System County of Jackson, MS Spatial Geographic Names Information System County of Jasper, TX Spatial Geographic Names Information System County of Jefferson Davis, LA Spatial Geographic Names Information System County of Jefferson, LA Spatial Geographic Names Information System County of Jefferson, TX Spatial Geographic Names Information System County of Lafayette, LA Spatial Geographic Names Information System County of Lafourche, LA Spatial Geographic Names Information System County of Lamar, MS Spatial Geographic Names Information System County of Livingston, LA Spatial Geographic Names Information System County of Marion, MS Spatial Geographic Names Information System County of Mobile, AL Spatial Geographic Names Information System County of Newton, TX Spatial Geographic Names Information System County of Orange, TX Spatial Geographic Names Information System County of Orleans, LA Spatial Geographic Names Information System County of Pearl River, MS Spatial Geographic Names Information System County of Perry, MS Spatial Geographic Names Information System County of Pike, MS Spatial Geographic Names Information System County of Plaquemines, LA Spatial Geographic Names Information System County of Pointe Coupee, LA Spatial Geographic Names Information System County of Rapides, LA Spatial Geographic Names Information System County of Saint Bernard, LA Spatial Geographic Names Information System County of Saint Charles, LA Spatial Geographic Names Information System County of Saint Helena, LA Spatial Geographic Names Information System County of Saint James, LA Spatial Geographic Names Information System County of Saint John the Baptist, LA Spatial Geographic Names Information System County of Saint Landry, LA Spatial Geographic Names Information System County of Saint Martin, LA Spatial Geographic Names Information System County of Saint Mary, LA Spatial Geographic Names Information System County of Saint Tammany, LA Spatial Geographic Names Information System County of Stone, MS Spatial Geographic Names Information System County of Tangipahoa, LA Spatial Geographic Names Information System County of Terrebonne, LA Spatial Geographic Names Information System County of Vermilion, LA Spatial Geographic Names Information System County of Vernon, LA Spatial Geographic Names Information System County of Walthall, MS Spatial Geographic Names Information System County of Washington, LA Spatial Geographic Names Information System County of West Baton Rouge, LA Spatial Geographic Names Information System County of West Feliciana, LA Spatial Geographic Names Information System County of Wilkinson, MS Spatial 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 AL Spatial 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 Alabama Spatial 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 FL Spatial 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 Florida Spatial 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 LA Spatial 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 Louisiana Spatial 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 MS Spatial 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 Mississippi Spatial 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 TX Spatial 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 Texas Spatial 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. Spatial 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 Spatial 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 Spatial 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 Spatial Gulf of Mexico Office for Coastal Management Charleston SC Data Set Elevation As Needed Raster Digital Data Set Danielson, J.J., Tyler, D.J., Cushing, W.M., Barra, J.A., Poppenga, S.K., Beverly, S.D., and Shogib, R., 2022, Topobathymetric Model of the Northern Gulf of Mexico, 1885 to 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P99JULDN. 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. Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. Please refer to the Data Quality Section, Source Citations for original source data information., Danielson, J.J. Tyler, D.J. Cushing, W.M. Barra, J.A. Poppenga, S.K. Beverly, S.D. Shogib, R. Data Steward 2022 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Distributor 2022 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Metadata Contact 2022 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Point of Contact 2022 Organization NOAA Office for Coastal Management NOAA/OCM coastal.info@noaa.gov 2234 South Hobson Ave Charleston SC 29405-2413 (843) 740-1202 https://coast.noaa.gov NOAA Office for Coastal Management Home Page Online Resource Ground Condition -93.9995 -87.5072 31.1266 28.6991 Range 1885-01-01 2021-12-31 Yes Vertical EPSG:5703 NAVD88 height North American Vertical Datum 1988 1 Gravity-related height H metre up Projected EPSG:6344 NAD83(2011) / UTM zone 15N NAD83 (National Spatial Reference System 2011) GRS 1980 6378137 298.257222101 NAD83(2011) UTM zone 15N Transverse Mercator Latitude of natural origin 0° 0' 0" N Longitude of natural origin 93° 0' 0" W Scale factor at natural origin 0.9996 False easting 500000 metre False northing 0 metre 1 Easting E metre east 2 Northing N metre north Unclassified Data is available online for bulk and custom downloads. None 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. https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9562/details/9562 2022 Organization NOAA Office for Coastal Management Customized Download 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. Zip Zip https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_NGOM2_DEM_2022_9562/index.html 2022 Organization NOAA Office for Coastal Management Bulk Download Bulk download of data files in the original coordinate system. GeoTIFF GeoTIFF https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_NGOM2_DEM_2022_9562/supplemental/ngom2022_coned_m9562.kmz Browse Graphic Browse Graphic KMZ Link to the data set footprint. https://coast.noaa.gov/ NOAA's Office for Coastal Management (OCM) website Online Resource HTML Information on the NOAA Office for Coastal Management (OCM) https://coast.noaa.gov/dataviewer/ NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) Online Resource HTML 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. https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/CoNED_NGOM2_DEM_2022_9562/supplemental/index.html Geospatial Metadata Online Resource Zip 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. https://www.usgs.gov/special-topics/coastal-national-elevation-database-applications-project USGS CoNED Applications Project Online Resource HTML Link to the USGS CoNED Applications Project. For usability, Esri ArcGIS 10.8, Photoshop, GeoCue LP360, VDatum, Global Mapper, Geospatial Data Abstraction Library (GDAL), or equivalent GIS processing software and supporting operating systems are suggested for viewing the spatial metadata. The horizontal accuracy for the integrated topobathymetric digital elevation model (TBDEM) was not assessed quantitatively. NGOM 2 Integrated TBDEM Vertical Accuracy Assessment (GEOID12B): The NGOM 2 TBDEM vertical accuracy was assessed using multiple datasets. The first assessment used 4,510 Real-Time Kinematic (RTK) Global Positioning System (GPS) control points compiled by Dr. Scott Hagen of Louisiana State University (LSU). These points consisted of survey efforts in five locations: 1: Big Branch, 2: Grand Bay, 3: Maurepas, 4: Pascagoula, 5: Pearl River These points are more indicative of wetland areas within the NGOM 2 TBDEM surface. The root mean square error (RMSE) of the TBDEM surface versus these LSU control points was 0.271 meters. The second assessment used 276 National Oceanic and Atmospheric Administration (NOAA) National Geodetic Survey (NGS) Global Positioning System (GPS) on Benchmarks (GPSonBM) control points distributed mostly throughout upland or developed areas of the NGOM 2 TBDEM surface. The RMSE of the TBDEM surface versus these GPSonBM control points was 0.236 meters. The third assessment used 2,568 RTK GPS points from the Coastwide Reference Monitoring System (CRMS). In this case, multiple elevations are taken at a given CRMS station. These elevations are taken within a 2-meter x 2-meter plot, and the elevations are intended to be reflective of the average value of the 2-meter x 2-meter plot. As such, for the purposes of this assessment, multiple elevations for a given plot were averaged and that value was used as the control point for comparison. The average of the NGOM 2 TBDEM surfaced was used within this same plot for comparison. Any CRMS elevation points with notes that justified their exclusion, such as a note indicating the elevation was taken on top of vegetative material, were excluded from the analysis. The remaining CRMS points were distributed throughout, and therefore more indicative of, coastal herbaceous wetland areas of Louisiana. The RMSE of the TBDEM surface versus these CRMS control points was 0.262 meters. Overall, RMSE over the land and nearshore area is 0.267 meters versus a combined 7,354 LSU, GPSonBM, and CRMS control points distributed throughout the NGOM 2 study area. Note: It is important to note that the control points used for this vertical accuracy assessment represent land elevations rather than bathymetric values. As such this vertical accuracy assessment is only reflective of the vertical accuracy of the land component in the data set. There is not sufficient data to accurately quantify the vertical accuracy of the bathymetric portion of this data set. Please refer to the bathymetric data sources for measures of vertical accuracy and uncertainty of the input source data when available. . 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 No formal logical accuracy tests were conducted. This CoNED data set for the northern Gulf of Mexico (TX, LA, MS, AL) was provided to NOAA OCM by USGS for inclusion in the NOAA Digital Coast Data Access Viewer. 2016 USACE NCMP Topobathy Lidar: Gulf Coast (AL, FL, MS, TX) 2017-01-01 Discrete 2016 https://inport.nmfs.noaa.gov/inport/item/49427 Cat Island MS to Gulf Shores, AL. 2017 25 County Alabama Lidar 2020-01-01 Discrete 2017 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Covers large portion of Southern, AL, 2017 QL2 Lidar. Contains Baldwin County with NGOM 2 boundary. 2018 USACE NCMP Topobathy Lidar: Gulf Coast (AL, MS) 2018-01-01 Discrete 2018 https://inport.nmfs.noaa.gov/inport/item/55844 Cat Island MS to Gulf Shores, AL. 2019 Atchafalaya River Survey 2020-01-01 Discrete 2019 https://www.mvn.usace.army.mil/Missions/Navigation/Channel-Surveys/ Atchafalaya River bank to bank survey 2019_usace_mississippi_auxiliary_entrance_channel 2019-01-01 Discrete 2019 https://www.mvn.usace.army.mil/Missions/Navigation/Channel-Surveys/ Point Breeze, Mississippi River Chanel 3DEP_1/3AS_DEM 2021-01-01 Range 1999 2021 https://nationalmap.gov/ 1/3 Arc-Second Elevation Southern US 3DEP_1/9AS_DEM 2013-01-01 Range 1999 2013 https://nationalmap.gov/ 1/3 Arc-Second Elevation Southern US 3DEP_Co-Op_South_Central_MS 2015-01-01 Discrete 2015 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Magnolia, MS Amite River Basin 2019-01-01 Discrete 2018 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Amite River Basin Mississippi and Louisiana Defined by HUC8 BA-0143 Caminada Headlands Beach and Dune Restoration Increment 2: 2017 Bathymetric Survey 2018-01-01 Discrete 2018 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0143/raw/ BA-0143 Elmer's Island east to Caminada Pass, LA. BA-0145 Caminada Headland Beach and Dune Restoration BA-0045 2017-01-01 Discrete 2017 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0045/raw/ BA-045 Belle Pass east mouth of Bayou Lafourche east to Elmer's Island, LA BA-0153 Mid-Barataria Sediment Diversion Bathymetry Survey 2013-01-01 Discrete 2013 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0153/raw/ Mississippi River immediately adjacent to BA-0153 Mid-Barataria diversion channel BA-0197 West Grand Terre Beach Nourishment and Stabilization - 2017 Bathymetric Survey 2017-01-01 Discrete 2017 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0197/raw/ West Grand Terre Island. LA BA-0198 Grand Isle and Vicinity - 2016 Beach and Dune Repair Single Beam Bathymetry Survey 2020-01-01 Discrete 2020 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0198/raw/ Grand Isle, LA BA-0202 Queen Bess Island Restoration Project Bathymetry Survey 2017-01-01 Discrete 2017 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0202/raw/ Queen Bess Island Southeastern Barataria Bay, LA BA-0210 Grand Isle & Vicinity Breakwater Project Bathymetry Survey 2020-01-01 Discrete 2020 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/BA-0210/raw/ West Isle Grand Beach, LA Barataria Islands Bathymetry 2017-01-01 Discrete 2017 https://cims.coastal.louisiana.gov/Viewer/Map.aspx?guid=7d31c01d-782a-4418-b94b-8cc4442eca2d Eastern Barataria Barrier Islands Biloxi, Mississippi Coastal Digital Elevation Model 2007-01-01 Discrete 2007 https://www.ngdc.noaa.gov/mgg/coastal/coastal.html Biloxi, MS, Mississippi Sound Chandeleur Islands Topobathy 2015-01-01 Discrete 2015 Chandeleur Islands Coastal Bathymetry Data Collected in 2016 nearshore from West Ship Island to Horn Island, Gulf Islands National Seashore, Mississippi 2017-01-01 Discrete 2016 https://data.usgs.gov/datacatalog/data/USGS:8b843480-b64c-4501-b288-5ce168b16308 Ship and Horn Islands, MS/AL Continuously Updated Digital Elevation Model (CUDEM - 10m) 2019-01-01 Range 1851 2019 https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NCEI_third_Topobathy_2014_8580/ Varies Continuously Updated Digital Elevation Model (CUDEM - 3m) 2019-01-01 Range 1851 2019 https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/NCEI_ninth_Topobathy_2014_8483/ Varies Elevation Void Fill (method used to interpolate elevation in cases where no-data gap occurs) 2021-01-01 Discrete 2021 Varies Grand Bay Mississippi 2015 Bathymetry 2018-01-01 Discrete 2015 https://data.usgs.gov/datacatalog/data/USGS:34da878d-fe52-4625-a17f-bf443547c9b6 Grand Bay LA-0161 LASARD Atchafalaya River Multibeam Survey Report 2012-01-01 Discrete 2012 https://cims.coastal.louisiana.gov/Viewer/Map.aspx?guid=7d31c01d-782a-4418-b94b-8cc4442eca2d Consists of MBB collected for 4 Atchafalaya River channel survey areas: 1) Melville, Elba, Morgan City, and Wax Lake, LA acquired by Coastal Planning and Engineering, Inc. LA-0252 System Wide Assessment & Monitoring Program Single Beam Bathymetry Barataria Basin (SWAMP Phase 1) 2016-01-01 Discrete 2016 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/LA-0252/raw/ Swamp Phase 1 area within Barataria Basin from Lake Des Allemands to Barataria Bay, LA LA-0252 System Wide Assessment & Monitoring Program Single Beam Bathymetry Pontchartrain and Breton Basins (SWAMP Phase 2) 2018-01-01 Discrete 2017 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/LA-0252/raw/ Swamp Phase 2 area East of the Mississippi River including Lake Borgne, Lake Pontchartrain, Chandeleur Sound, and the Mississippi River Gulf Outlet (MRGO). LA-0252 System Wide Assessment & Monitoring Program Single Beam Bathymetry Terrebonne Basin (SWAMP Phase 3) 2018-01-01 Discrete 2018 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/LA-0252/raw/ Swamp Phase 3 area from East to Central Terrebonne Basin, LA LA-0252 System Wide Assessment & Monitoring Program Single Beam Bathymetry Western Terrebonne Basin to Sabine Basin (SWAMP Phase 4) 2019-01-01 Discrete 2019 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/LA-0252/raw/ Swamp Phase 4 area from West Terrebonne Basin to the Sabine Basin, LA Lafourche Levee Lidar 2012 2012-01-01 Discrete 2012 Lafourche Parish, LA levee system Louisiana ARRA Region 2 Lidar (Zone 15) 2013-01-01 Discrete 2013 ARRA Region 2 encompasses coastal Louisiana east of the Mississippi River, NE to Lake Borgne's excluding the northern shoreline to the MS state line. The active Mississippi River Delta or bird's foot is included in Region 2. Louisiana ARRA Region 2 Lidar (Zone 16) 2013-01-01 Discrete 2013 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ ARRA Region 2 encompasses coastal Louisiana east of the Mississippi River, NE to Lake Borgne's excluding the northern shoreline to the MS state line. The active Mississippi River Delta or bird's foot is included in Region 2. Louisiana Atchafalaya Basin 2 Lidar 2014-01-01 Discrete 2013 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Atchafalaya River Basin within guide levees from Old River to the Gulf of Mexico, (LA). Louisiana BICM2 Single Beam Bathymetry Chenier Plain 2017-01-01 Discrete 2015 https://coastal.er.usgs.gov/data-release/doi-F7CV4GZH/ BICM Chenier Plain Region from Marsh Island, LA West to the TX border. Louisiana BICM2 Single Beam Bathymetry Raccoon Point to Point Au Fer Island 2017-01-01 Discrete 2015 https://pubs.usgs.gov/ds/1041/ds1041_data.html BICM Western Early Lafourche Delta Region from Racoon Point West to Point Au Fer Island, LA. Louisiana Barrier Island Comprehensive Monitoring Program (BICM): 2015 Bathymetric Survey – Grand Isle to Sandy Point Survey Report East Zone 2002-01-01 Discrete 2002 Southern Louisiana Louisiana Bayou Nezpique Lidar 2018 2020-01-01 Discrete 2018 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Central Western Louisiana from Southern Rapides Parish south to 2017 chenier Plain QL2 lidar boundary and from 4 miles west of Lafayette, LA to eastern Lake Charles, LA. Louisiana Chenier Plain Lidar 2017 2018-01-01 Discrete 2017 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Chenier Plain (LA) Louisiana Jean Lafitte and Southern Barataria Basin Lidar 2015-01-01 Discrete 2013 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ South Barataria basin (LA) between Bayou Lafourche on West and the Mississippi River on East and from Lake Salvador on North and then South to the Gulf of Mexico (LA). Louisiana South Terrebonne and Gulf Islands QL2 Lidar 2015 2016-01-01 Discrete 2015 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ South Terrebonne basin 9LA) from Gulf of Mexico on South then North to Morgan City and then ENE to the west bank of Bayou Lafourche, near Labadieville, and then SE to Galliano, LA. Also includes Gulf barrier Islands from the Chandeleur Islands, LA East to Dauphin Island, AL. Louisiana Statewide Lidar 2005-01-01 Discrete 2004 https://atlas.ga.lsu.edu/datasets/lidar2000/ Statewide Louisiana Upper Delta Plain Lidar 2017 2017-01-01 Discrete 2017 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Upper Delta Plain (LA) from the Peral River on East to the Atchafalaya River East Guide Levee on West. From I-12 North to mid-Barataria Basin North-east to the Pearl River. MS2006_MDEQ_CampShelby 2006-01-01 Discrete 2006 https://coast.noaa.gov/dataviewer/#/lidar/search/ West of Camp Shelby Mardi_Gras_Pass 2019-01-01 Discrete 2019 https://saveourlake.org/ Bohemia Spillway, Plaquemines Parish, LA Mississippi Additional Bathymetry 2013-01-01 Discrete 2013 https://www.mvn.usace.army.mil/Missions/Navigation/Channel-Surveys/ Mississippi River, south and west of New Orleans Mississippi Coastal QL2 Lidar 2018-01-01 Discrete 2015 https://www.maris.state.ms.us/ftp4DEM/Coastal_2015_DEMs/DEM_IMG/ Six Mississippi Coastal Counties and 3DEP Extension (Pike County in NGOM 2 AOI) Mississippi River Bathymetry 2019-01-01 Discrete 2019 https://www.mvn.usace.army.mil/Missions/Navigation/Channel-Surveys/ Mississippi River Channel Mobile, Alabama 1/3 arc-second NAVD 88 Coastal Digital Elevation Model 2009-01-01 Discrete 2009 https://www.ngdc.noaa.gov/mgg/coastal/coastal.html Mobile Bay, AL NCEI channel filter 2021-01-01 Discrete 2021 Filtered bathymetry in the northern Gulf of Mexico NGOM Alabama LiDAR 2010-01-01 Discrete 2010 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ 700 square mile area to the east of Mobile Bay NGOM1 - Selected areas of land to insert 2014-01-01 Discrete 2014 https://topotools.cr.usgs.gov/topobathy_viewer/ Northern Gulf of Mexico NOAA Bags 2020-01-01 Range 2005 2018 https://www.ncei.noaa.gov/maps/bathymetry/ Northern Gulf of Mexico NOAA Point Surveys - Interpolated 2012-01-01 Range 1885 2012 https://www.ncei.noaa.gov/maps/bathymetry/ Northern Gulf of Mexico New Orleans, Louisiana 1/3 arc-second NAVD 88 Coastal Digital Elevation Model 2010-01-01 Discrete 2010 https://www.ngdc.noaa.gov/mgg/coastal/coastal.html New Orleans, LA PO-0033 Goose Point/Point Platte Marsh Creation 2006 Bathymetric Survey 2006-01-01 Discrete 2006 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/PO-0033/raw/ Goose Point-Proctor Point, LA PO-0038-SF MRGO Closure Structure Bathymetry Survey 2020-01-01 Discrete 2020 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/PO-0038-SF/raw/ Immediately south of the Mississippi River Gulf Coast Outlet Canal's intersection with Bayou La Loutre PO-0179 St. Catherine Island Marsh Creation and Shoreline Protection Bathymetry Survey 2019-01-01 Discrete 2019 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/PO-0179/raw/ Southwest Lake Catherine's Island, LA Pearl River Single-Beam Sonar Data 2017-01-01 Discrete 2017 Pearl River, LA/MS border Pensacola, Florida 1/3 arc-second NAVD 88 DEM 2015-01-01 Discrete 2015 https://www.ngdc.noaa.gov/mgg/coastal/coastal.html Pensacola, FL Single-Beam Bathymetry Data Collected in 2015 Nearshore Dauphin Island, Alabama 2017-01-01 Discrete 2015 https://data.usgs.gov/datacatalog/data/USGS:3f435d40-723b-41af-ac98-91d285d68523 Dauphin Island, AL Southern Louisiana 1/3 arc-second NAVD 88 Coastal Digital Elevation Model 2010-01-01 Discrete 2010 https://www.ncei.noaa.gov/metadata/geoportal/rest/metadata/item/gov.noaa.ngdc.mgg.dem:1521/html Southern Louisiana TE-0044 North Lake Mechant Landbridge Restoration 2008 Bathymetric Survey 2008-01-01 Discrete 2008 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/TE-0044/raw/ North Lake Merchant Land Bridge, LA fill borrow area TE-010 Increase Atchafalaya Flow to Terrebonne GIWW Bathy Survey 2015-01-01 Discrete 2015 https://cims.coastal.louisiana.gov/Viewer/BathyTopoData/TE-0110/raw/ https://cims.coastal.louisiana.gov/Viewer/Map.aspx?guid=7d31c01d-782a-4418-b94b-8cc4442eca2d Gulf Intracoastal Waterway from Houma to Morgan City, LA TE-0143 Terrebonne Basin Barrier Island and Beach Nourishment 2018-01-01 Discrete 2018 https://cims.coastal.louisiana.gov/Viewer/Map.aspx?guid=7d31c01d-782a-4418-b94b-8cc4442eca2d Terrebonne Bay around Timbalier and Derrieres Islands TX Jefferson Liberty Chambers TNRIS 2017 2017-01-01 Discrete 2017 https://data.tnris.org/collection/12342f12-2d74-44c4-9f00-a5c12ac2659c extents cover the cities of Beaumont, Port Arthur, and Nederland in southeast Texas TX Upper Coast 2018 2018-01-01 Discrete 2018 https://data.tnris.org/collection/b5bd2b96-8ba5-4dc6-ba88-d88133eb6643 Orange, Matagorda, Harris Counties USACE 2013 Lower Mississippi River Survey 2016-01-01 Discrete 2013 https://www.mvn.usace.army.mil/Missions/Engineering/Channel-Improvement-and-Stabilization-Program/2013MBMR/ Mississippi River bank to bank survey from Old River Control Structure to SW Pass, LA. USGS Lidar Mobile Co, AL 2014 2016-01-01 Discrete 2014 https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/Mobile_DEM_2014_5169/ Mobile County, AL, 2014 QL2 Lidar USGS Lidar Neches Texas 2016 2018-01-01 Discrete 2017 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Complete or partial coverage of twenty-six Texas counties in southeastern Texas containing the Neches River Drainage Basin (The southeastern portion of the project Area is in NGOM 2 AOI) USGS Lidar Texas Eastern Block 3 2018 2019-01-01 Discrete 2018 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Complete coverage of the Texas Eastern data for block 3, just west of the Sabine River within TX and the NGOM 2 boundary USGS Lidar Tishomingo-South, MS 2016 2017-01-01 Discrete 2016 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Tishomingo, Mississippi 2016 QL2 LiDAR Project southern AOI only (partial NGOM 2 coverage). USGS Lidar Tupelo, MS 2015 2016-01-01 Discrete 2015 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Tupelo, Mississippi 2016 QL2 LiDAR Project Report (partial NGOM 2 coverage). USGS NRCS Lidar Natchez, MS 2016 2017-01-01 Discrete 2017 https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/1m/Projects/ Southwest Central MS from Vicksburg to Louisiana state line. 2016 QL2 LiDAR Project Report (partial NGOM 2 coverage). eHydro Baptiste_Colette_LA 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Baptiste Collette Pass Mississippi River eHydro Barataria Barataria_Waterway / Channel 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Barataria Waterway eHydro Bayou_Chene_Black_Boeuf_LA 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Boeuf to GIWW intersection with Bayou Chene and Bayou Black. eHydro Bayou_Lafourche_LA 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Lafourche eHydro Bayou_Rigaud_LA 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Rigaud eHydro Bayou_Schaffer_la_cl 2018-01-01 Discrete 2018 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Schaffer eHydro Bayou_boeuf_giww_west_la_cls 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Boeuf eHydro Calcasieu_Ship_Channel 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Calcasieu River eHydro Fresh_Water_Bayou 2018-01-01 Discrete 2018 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Fresh water Bayou eHydro GIWW_IHNC 2018-01-01 Discrete 2018 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Gulf Intracoastal Waterway, New Orleans eHydro GIWW_Port_Author_Bolivar 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Port Arthur to Port Bolivar eHydro Houma Ship Channel 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Houma Navigation Channel eHydro LA Barataria Houma 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Gulf Intracoastal Waterway from Houma to New Orleans, LA eHydro Lake Maurepas and Pontchartrain 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Lake Maurepas, Lake Pontchartrain eHydro Lower_Atchaf_Atchaf_Bay_LA 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Atchafalaya River - lower bay channel eHydro Mermentau_River_LA 2018-01-01 Discrete 2018 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Mermentau River - lower river eHydro Mississippi_Passes 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Mississippi Passes eHydro Sabine_Pass_Channel 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Sabine Neches Waterway eHydro Upper_Barataria_ww_giww_ww_harvey_algiers_canal 2017-01-01 Discrete 2017 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Seabrook floodgate eHydro Vermilion_River_3Milecut_VBay 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Vermilion River, Vermilion Bay eHydro bay_st_louis_ms 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d St Louis Bay, Bryan Bayou, Mississippi Sound eHydro bayou_black_20200506_cl 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Black eHydro bayou_bonfuca_lacombe_segnette 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayous Bonfuca, Lacombe, and Segnette eHydro bayou_labatre_coden_al 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou la Batre, Coden, AL eHydro bboeuf_mcdocks_bbay 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bayou Boeuf eHydro biloxi_back_bay_channels 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Back Bay of Biloxi eHydro bon_secour_river_al 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Bon Secour River eHydro fowl_river_al 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d East Fowl River eHydro gulfport_sound_channels_ms 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Gulfport Sound Channels eHydro mobile_river_bay_channel_al 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Mobile upper bay channel eHydro mr_tiger_pass_la 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Tiger Pass, Venice eHydro pascagoula_river_channel_ms 2019-01-01 Discrete 2019 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Pascagoula River Channel. eHydro reshwater_bayou_to_GIWW_vermilion_river 2018-01-01 Discrete 2017 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Fresh water Bayou eHydro seabrook_flood_gate_pontchartrain_surge 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d IHNC Storm Surge Barrier MRGO to Gulf Intracoastal Waterway (GIWW) immediately south-east of MRGO with the GIWW, LA. eHydro_upper_barataria_LA 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Intercoastal Waterway south of New Orleans perdido_pass_fly_creek_dauphin_island_al 2020-01-01 Discrete 2020 https://www.arcgis.com/apps/dashboards/4b8f2ba307684cf597617bf1b6d2f85d Dauphin Island, Fly Creek, Perdido Pass 1 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 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 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 were hydro-flattened where no bathymetry is present. Hydro-flattening is the process of creating a lidar-derived DEM in which water surfaces appear and behave as they would in traditional topographic DEMs created from photogrammetric digital terrain models (DTMs). 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 su 2021-07-08T00:00:00 2 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 kriging 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 kriging 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. 2021-07-08T00:00:00 3 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 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. 2021-07-08T00:00:00 4 The NOAA Office for Coastal Management (OCM) received one tif file for the topobathymetric data for northern Gulf of Mexico (TX, LA, MS, AL) 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 15 NAD83(2011), meters coordinates and in NAVD88 (Geoid12B) elevations in meters. The data were at a 1m grid spacing. The data were retiled to 8512, cloud optimized GeoTiffs using gdal_retile.py and the horizontal (6344) and vertical (5703) EPSG codes were assigned. 2022-08-01T00:00:00 Organization Office for Coastal Management OCM https://ror.org/05v14bq57 2234 South Hobson Avenue Charleston SC 29405-2413 https://www.coast.noaa.gov/ gov.noaa.nmfs.inport:67613 Rebecca Mataosky 2022-08-02T19:12:14 SysAdmin InPortAdmin 2026-03-04T19:17:17 2024-01-10 OCM Partners OCMP 1002 Public No No 2022-08-02 1 Year 2023-08-02