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Short Citation:
OCM Partners, 2023: 2016 USGS CoNED Topobathymetric Model (1859 - 2015): Chesapeake Bay Region, https://www.fisheries.noaa.gov/inport/item/55321.

Item Identification

Title: 2016 USGS CoNED Topobathymetric Model (1859 - 2015): Chesapeake Bay Region
Short Name: ches_coned_m8656_metadata
Status: Completed
Publication Date: 2016-05-01
Abstract:

Hurricane Sandy was the deadliest and most destructive hurricane of the 2012 Atlantic hurricane season, and the second-costliest with an estimated $71.4 billion (2013 USD). Hurricane Sandy affected 24 states, including the entire eastern seaboard with particularly severe damage in New Jersey and New York. In response to the storm, the U.S. Geological Survey (USGS) Coastal and Marine Geology Program in collaboration with the USGS National Geospatial Program (NGP), and National Oceanic and Atmospheric Administration (NOAA) developed a three-dimensional (3D) 1-meter topobathymetric elevation model (TBDEM) for the Chesapeake Bay region including the District of Columbia, states of Delaware, Maryland, Pennsylvania, and Virginia and the adjacent coastline. High-resolution coastal elevation data is required to identify flood, hurricane, 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 District of Columbia, states of Delaware, Maryland, Pennsylvania, and Virginia and coastal areas. The Chesapeake Bay TBDEM integrates over 261 different data sources including topographic and bathymetric LiDAR point clouds, hydrographic surveys, side-scan sonar surveys, and multi-beam surveys obtained from USGS, NOAA, the U.S. Army Corps of Engineers (USACE), Federal Emergency Management Agency (FEMA), and other state and local 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 are typically referenced to tidal referenced datums (such as Mean High Water or Mean Low Water), 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 1 meter and includes the Chesapeake Bay region, District of Columbia, States of Delaware, Maryland, Pennsylvania, and Virginia. The temporal range of the input topography and bathymetry is 1859 to 2015.

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 Centers for Environmental Information (NCEI), the CoNED Applications Project integrates disparate light detection and ranging (LiDAR) and bathymetric data sources into a common 3D 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 geodatabase 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. 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 initiativeA call for action: U.S. Geological Survey Circular 1399, 35 p. Winters, W.J., Lorenson, T.D., and Paull, C.K., eds., 2007, Initial Report of the IMAGES VIII/PAGE 127 Gas Hydrate and Paleoclimate Cruise on the RV Marion Dufresne in the Gulf of Mexico, 2-18 July 2002: U.S. Geological Survey Open-File Report 2004-1358, one DVD, online at http://pubs.usgs.gov/of/2004/1358/ USGS - Woods Hhole Coastal and Marine Science Center Pendleton, E.A., Ackerman, S.D., Baldwin, W.E., Danforth, W.W., Foster, D.S., Thieler, E.R., and Brothers, L.L. 2015, High-resolution geophysical data collected along the Delmarva Peninsula, 2014, USGS Field Activity 2014-002-FA (ver. 3.0, December 2015): U.S. Geological Survey data release at http://woodshole.er.usgs.gov/field-activity-data/2014-002-FA/

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, and Contact Information.

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
UNCONTROLLED
ISO 19115 Category 013
ISO 19115 Category Base Maps
ISO 19115 Category Earth Cover
ISO 19115 Category imagery
ISO 19115 Category location
ISO 19115 Topic Category elevation
None 3D Elevation Program
None 3DEP
None 3DEP-Coastal Zone
None 3DEP-CZ
None Acoustic Sonar
None American Society of Photogrammetry and Remote Sensing
None Bathymetric
None Bathymetry
None CMGP
None Coastal Marine and Geology Program
None Coastal National Elevation Database
None Coastal Zone
None CoNED
None CZ
None DEM
None Digital Elevation Model
None Digital Terrain Model
None DTM
None Hydrologic
None Hydrologic Modeling
None LiDAR
None Light Detection and Ranging
None National Standards for Spatial Digital Accuracy
None Topobathy
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 > DELAWARE
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > DISTRICT OF COLUMBIA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > MARYLAND
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > PENNSYLVANIA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > VIRGINIA
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 Accomack
Geographic Names Information System County of Alexandria
Geographic Names Information System County of Anne Arundel
Geographic Names Information System County of Arlington
Geographic Names Information System County of Baltimore
Geographic Names Information System County of Baltimore City
Geographic Names Information System County of Calvert
Geographic Names Information System County of Caroline
Geographic Names Information System County of Carroll
Geographic Names Information System County of Cecil
Geographic Names Information System County of Charles
Geographic Names Information System County of Charles City
Geographic Names Information System County of Chesapeake
Geographic Names Information System County of Chesterfield
Geographic Names Information System County of Colonial Heights
Geographic Names Information System County of Dinwiddie
Geographic Names Information System County of Dorchester
Geographic Names Information System County of Emporia
Geographic Names Information System County of Essex
Geographic Names Information System County of Fairfax
Geographic Names Information System County of Fairfax City
Geographic Names Information System County of Falls Chruch
Geographic Names Information System County of Fauquier
Geographic Names Information System County of Franklin City
Geographic Names Information System County of Fredericksburg
Geographic Names Information System County of Gloucester
Geographic Names Information System County of Hampton
Geographic Names Information System County of Hanover
Geographic Names Information System County of Harford
Geographic Names Information System County of Henrico
Geographic Names Information System County of Hopewell
Geographic Names Information System County of Howard
Geographic Names Information System County of Isle of Wight
Geographic Names Information System County of James City
Geographic Names Information System County of Kent
Geographic Names Information System County of King and Queen
Geographic Names Information System County of King George
Geographic Names Information System County of King William
Geographic Names Information System County of Lancaster
Geographic Names Information System County of Loudoun
Geographic Names Information System County of Manassas City
Geographic Names Information System County of Manassas Park City
Geographic Names Information System County of Mathews
Geographic Names Information System County of Middlesex
Geographic Names Information System County of Montgomery
Geographic Names Information System County of New Castle
Geographic Names Information System County of New Kent
Geographic Names Information System County of Newport News
Geographic Names Information System County of Norfolk
Geographic Names Information System County of Northampton
Geographic Names Information System County of Northumberland
Geographic Names Information System County of Petersburg
Geographic Names Information System County of Poquoson City
Geographic Names Information System County of Portsmouth
Geographic Names Information System County of Prince George
Geographic Names Information System County of Prince Georges
Geographic Names Information System County of Prince William
Geographic Names Information System County of Queen Annes
Geographic Names Information System County of Richmond
Geographic Names Information System County of Richmond City
Geographic Names Information System County of Somerset
Geographic Names Information System County of Southampton
Geographic Names Information System County of Spotsylvania
Geographic Names Information System County of St. Marys
Geographic Names Information System County of Stafford
Geographic Names Information System County of Suffolk
Geographic Names Information System County of Surry
Geographic Names Information System County of Sussex
Geographic Names Information System County of Talbot
Geographic Names Information System County of Virginia Beach
Geographic Names Information System County of Westmoreland
Geographic Names Information System County of Wicomico
Geographic Names Information System County of Williamsburg
Geographic Names Information System County of Worcester
Geographic Names Information System County of York
Geographic Names Information System DC
Geographic Names Information System District of Columbia
Geographic Names Information System State of Delaware
Geographic Names Information System State of Maryland
Geographic Names Information System State of Pennsylvania
Geographic Names Information System State of Virginia
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 DC
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 DE
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 MD
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 PA
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 VA
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 DC
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 District of Columbia
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
None U.S. Coastline

Instrument Keywords

Thesaurus Keyword
UNCONTROLLED
Global Change Master Directory (GCMD) Instrument Keywords Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Lidar/Laser Sounders > LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
DEM > Digital Elevation Model
UNCONTROLLED
Global Change Master Directory (GCMD) Platform Keywords Aircraft > 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: Model (digital)
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.

Any conclusions drawn from the analysis of this information are not the responsibility of USGS, 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., Jeffrey Danielson / Dean Tyler *, U.S. Geological Survey, Physical Geographer

Support Roles

Data Steward

CC ID: 810258
Date Effective From: 2018-12-20
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: 810259
Date Effective From: 2018-12-20
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: 810260
Date Effective From: 2018-12-20
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: 810261
Date Effective From: 2018-12-20
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: 810264
W° Bound: -78.128737
E° Bound: -74.996698
N° Bound: 40.321432
S° Bound: 36.514983

Extent Group 1 / Time Frame 1

CC ID: 810263
Time Frame Type: Range
Start: 1859-01-01
End: 2015-01-31

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: 810265
Start Date: 2018-12-20
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8656
Distributor:
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.

Compression: Zip

Distribution 2

CC ID: 810266
Start Date: 2018-12-20
End Date: Present
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/Chesapeake_Coned_update_DEM_2016_8656
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2018-12-20 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in the original coordinate system.

URLs

URL 1

CC ID: 810253
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: 810254
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: 810255
URL: https://coast.noaa.gov/htdata/raster2/elevation/Chesapeake_Coned_update_DEM_2016_8656/ches_coned_m8656.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 810256
URL: https://coast.noaa.gov/htdata/raster2/elevation/Chesapeake_Coned_update_DEM_2016_8656/Chesapeake_Bay_Topobathy_DEM_Spatial_Metadata_GDB.zip
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to the spatial metadata gdb zip file.

Technical Environment

Description:

Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1.4959

Data Quality

Horizontal Positional Accuracy:

The horizontal accuracy for the integrated topobathymetric model was not assessed quantitatively.

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 15 to 20 centimeters in root mean square error (RMSE). The vertical accuracy for the integrated topobathymetric model was not assessed quantitatively.

Lineage

Sources

2014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline Mapping

CC ID: 810246
Contact Name: NOAA, National Geodetic Survey (NGS)
Publish Date: 2014-08-01
Citation URL: ftp://coast.noaa.gov/pub/DigitalCoast/lidar1_z/geoid12b/data/4800/
Source Contribution:

2014 NOAA Post Hurricane Sandy Topobathymetric LiDAR Mapping for Shoreline Mapping

Bathymetry - Multiple Data; D00110; F00280; F00306; F00389; F00424; F00438; F00454; H03311; H03343; H04018; H04019; H05197; H05198; H05199; H05228; H05229; H05237; H05295; H05327; H05328; H05329; H05374; H05403; H05416; H05432; H05469; H05501; H05531; H05674; H05703; H05715; H05770; H06359; H06360; H06361; H06366; H06367; H06368; H06369; H06370; H06371; H06372; H06373; H06374; H06375; H06376; H06597; H06598; H06599; H06600; H06601; H06602; H06603; H06604; H06605; H06683; H06775; H06776; H06779; H06876; H06877; H06878; H06949; H06950; H06951; H06952; H06953; H06954; H06955; H06956; H06958; H06966; H06996; H06997; H06998; H07001; H07002; H07003; H07009; H07010; H07011; H07021; H07022; H07025; H07027; H07032; H07043; H07047; H07064; H07065; H07075; H07083; H07087; H07091; H07092; H07093; H07094; H07154; H07155; H07156; H07157; H07160; H07174; H07181; H07184; H07610; H07611; H07612; H07641; H07642; H07680; H07714; H07778; H07779; H07780; H07781; H07782; H07879; H07880; H07881; H07882; H078

CC ID: 810244
Contact Name: NOAA, National Centers for Environmental Information (NCEI)
Publish Date: 2009-01-01
Citation URL: http://maps.ngdc.noaa.gov/viewers/bathymetry/
Source Contribution:

Bathymetry - 1859 to 2000 , NOAA, National Centers for Environmental Information Scientific stewardship, products, and services for ocean depth data and derived digital elevation models

Chesapeake_NED_10-meter; MD_DNR_2002Sep_NOAA_1-meter; MD_DNR_2003Mar_NOAA_1-meter; MD_DNR_2004Apr_NOAA_1-meter; MD_BaltimoreCo_2005Apr_USGS_1-meter; MD_CecilCo_2005Apr_USGS_1-meter; MD_CarrollCo_2006Mar_USGS_1-meter; Kent, Queen Anne, Caroline Counties Lidar Mapping 2006 1-meter; MD_HarfordCo_2007Dec_USGS_1-meter; MD_DistrictColumbia_2008Mar_USGS_1-meter; PA_SouthCentral_2008Mar_USGS_1-meter; PAMD_Susquehanna_Hydro_Enforced_2010_USGS_1-meter; VA_11Counties_2010Apr_USGS_1-meter; VA_EasternShore_2010Mar_USGS_1-meter; MD_CalvertCo_2011Mar_USGS_1-meter; MD_WorcesterCo_2011Mar_USGS_1-meter; VA_MiddleCos_2011May_FEMA_1-meter; VA_KingWilliamCo_2011Apr_FEMA_1-meter; VA_NorthCounties_2011Apr_FEMA_1-meter; VA_LoudounCo_2011Dec_FEMA_1-meter; VAWVMD_R3Lot5_2012Mar_FEMA_1-meter; MD_5Counties_2012FebMar_NRCS_1-meter; VA_SoHamptonCo_2012Jan_FEMA_1-meter; DEMD_Statewide_2013Dec_Lidar data for SANDY_Restoration_DE_MD_QL2; VA_Norfolk_2013Mar_USGS_1-meter; VA_EasternVirginia_2014Mar_USGS_1-meter; MDVADC_

CC ID: 810248
Citation URL: http://nationalmap.gov/viewer.html
Source Contribution:

USGS historical and current 3 Bare-earth DEMs (3D) National Elevation Data

DELMARVA_Bathy_USGS5-meter bathymetric data collected in 2014 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA 10-Meter

CC ID: 810247
Citation URL: http://woodshole.er.usgs.gov/field-activity-data/2014-002-FA/
Source Contribution:

Bathymetry from Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts , U.S. Geological Survey, Coastal and Marine Geology Program Field Activity Data High-resolution geophysical data collected along the Delmarva Peninsula 2014, U.S. Geological Survey Field Activity 2014-002-FA

VA, Virginia Beach 2005 10-Meter; NJ Ocean City10-Meter

CC ID: 810245
Contact Name: NOAA/NESDIS/NGDC, National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Citation URL: https://www.ngdc.noaa.gov/dem/squareCellGrid/download/381
Source Contribution:

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).

Process Steps

Process Step 1

CC ID: 810249
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).

Process Date/Time: 2016-05-02 00:00:00

Process Step 2

CC ID: 810250
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.

Process Date/Time: 2016-05-02 00:00:00

Process Step 3

CC ID: 810251
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.).

Process Date/Time: 2016-05-02 00:00:00

Process Step 4

CC ID: 810410
Description:

The NOAA Office for Coastal Management (OCM) received one Digital Elevation Model (DEM) file from USGS. The data was in UTM Zone 18 (NAD83) coordinates and NAVD88 elevations in meters. The bare earth raster file was at a 1 meter grid spacing.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. Tiled the one large DEM file into smaller files using Global Mapper.

2. Copied the files to https

Process Date/Time: 2018-12-20 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 55321
GUID: gov.noaa.nmfs.inport:55321
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-12-20 11:08+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+0000
Metadata Record Published: 2019-01-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2019-01-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2020-01-16