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Short Citation:
OCM Partners, 2023: CoNED Topobathymetric Model for New Jersey and Delaware, 1880 to 2014, https://www.fisheries.noaa.gov/inport/item/49467.

Item Identification

Title: CoNED Topobathymetric Model for New Jersey and Delaware, 1880 to 2014
Short Name: usgs2015_coned_nj_de_m5040_metadata
Status: Completed
Publication Date: 2015-12-01
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 models (TBDEMs) for the New Jersey/Delaware sub-region including the Delaware Estuary and adjacent coastline. As part of the TBDEM, hydrologically-enforced data was included to eliminate mapping-artifact drainage impediments at select regions along the Delaware River. 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 New Jersey and Delaware coastal areas.The New Jersey / Delaware TBDEM integrates over 89 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 is 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 entire states of Delaware and New Jersey with subareas from other neighboring states. The temporal range of the input topography and bathymetry is 1880 to 2014.

Original contact information:

Contact Name: Jeffrey Danielson / Dean Tyler *

Contact Org: U.S. Geological Survey

Title: Physical Geographer

Phone: 605-594-6148 / 605-594-2624 *

Email: daniels@usgs.gov / dtyler@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 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 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. 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. 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. 2.0, March 2015): U.S. Geological Survey data release. U.S. Geological Survey, 2015, 5-meter bathymetric data collected in 2014 by the U.S. Geological Survey along the Delmarva Peninsula, MD and VA (32-bit GeoTIFF, UTM Zone 18N, WGS 84): data release DOI:10.5066/F7MW2F60, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA. High-resolution geophysical data collected along the Delmarva Peninsula 2014, U.S. Geological Survey Field Activity 2014-002-FA - Suggested Citation: 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. 2.0, March 2015): U.S. Geological Survey data release. EAARL Wright, C.W., Troche, R.J., Klipp, E.S., Kranenburg, C.J., Fredericks, Xan, and Nagle, D.B., 2014, EAARL-B submerged topography-Barnegat Bay, New Jersey, pre-Hurricane Sandy, 2012: U.S. Geological Survey Data Series 885, http://dx.doi.org/10.3133/ds885.

Notes:

12100

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
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 Bathymetry/Topography
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
UNCONTROLLED
Geographic Names Information System Ardmore
Geographic Names Information System Asbury Park
Geographic Names Information System Atlantic City
Geographic Names Information System Avenel
Geographic Names Information System Bayonne
Geographic Names Information System Belleville
Geographic Names Information System Bellmawr
Geographic Names Information System Bergenfield
Geographic Names Information System Berkeley Heights
Geographic Names Information System Bloomfield
Geographic Names Information System Brick Township
Geographic Names Information System Bridgeton
Geographic Names Information System Brigantine
Geographic Names Information System Bristol
Geographic Names Information System Brommall
Geographic Names Information System Bronx
Geographic Names Information System Brookside
Geographic Names Information System Brown Mills
Geographic Names Information System Camden
Geographic Names Information System Carteret
Geographic Names Information System Cedar Grove
Geographic Names Information System Cherry Hill
Geographic Names Information System Chester
Geographic Names Information System Cinnaminson
Geographic Names Information System Clark
Geographic Names Information System Cliffside Park
Geographic Names Information System Clifton
Geographic Names Information System Coatesville
Geographic Names Information System Collingswood
Geographic Names Information System Colonia
Geographic Names Information System County of Atlantic
Geographic Names Information System County of Bergen
Geographic Names Information System County of Bronx
Geographic Names Information System County of Bucks
Geographic Names Information System County of Burlington
Geographic Names Information System County of Camden
Geographic Names Information System County of Cape May
Geographic Names Information System County of Chester
Geographic Names Information System County of Cumberland
Geographic Names Information System County of Delaware
Geographic Names Information System County of Essex
Geographic Names Information System County of Gloucester
Geographic Names Information System County of Hudson
Geographic Names Information System County of Hunterdon
Geographic Names Information System County of Kent
Geographic Names Information System County of Kings
Geographic Names Information System County of Mercer
Geographic Names Information System County of Middlesex
Geographic Names Information System County of Monmouth
Geographic Names Information System County of Montgomery
Geographic Names Information System County of Morris
Geographic Names Information System County of New Castle
Geographic Names Information System County of New York
Geographic Names Information System County of Ocean
Geographic Names Information System County of Passaic
Geographic Names Information System County of Philadelphia
Geographic Names Information System County of Queens
Geographic Names Information System County of Richmond
Geographic Names Information System County of Salem
Geographic Names Information System County of Somerset
Geographic Names Information System County of Sussex
Geographic Names Information System County of Union
Geographic Names Information System County of Warren
Geographic Names Information System Cranford
Geographic Names Information System Darby
Geographic Names Information System Darby Township
Geographic Names Information System Dover
Geographic Names Information System Drexel Hill
Geographic Names Information System Dumont
Geographic Names Information System East Brunswick
Geographic Names Information System East Norriton
Geographic Names Information System East Orange
Geographic Names Information System Eatontown
Geographic Names Information System Edison
Geographic Names Information System Elizabeth
Geographic Names Information System Elmwood Park
Geographic Names Information System Englewood
Geographic Names Information System Ewing
Geographic Names Information System Fair Lawn
Geographic Names Information System Fairview
Geographic Names Information System Fords
Geographic Names Information System Fort Dix
Geographic Names Information System Fort Lee
Geographic Names Information System Freehold
Geographic Names Information System Garfield
Geographic Names Information System Glassboro
Geographic Names Information System Glen Rock
Geographic Names Information System Gloucester City
Geographic Names Information System Hackensack
Geographic Names Information System Haddonfield
Geographic Names Information System Hammonton
Geographic Names Information System Hanover Township
Geographic Names Information System Harrison
Geographic Names Information System Hasbrouck Heights
Geographic Names Information System Hawthorne
Geographic Names Information System Highland Park
Geographic Names Information System Hillside
Geographic Names Information System Hoboken
Geographic Names Information System Holiday City-Berkeley
Geographic Names Information System Hopatcong
Geographic Names Information System Horsham
Geographic Names Information System Irvington
Geographic Names Information System Iselin
Geographic Names Information System Jersey City
Geographic Names Information System Keansburg
Geographic Names Information System Kearny
Geographic Names Information System King of Prussia
Geographic Names Information System Kings
Geographic Names Information System Lakewood
Geographic Names Information System Lansdale
Geographic Names Information System Lansdowne
Geographic Names Information System Leisure Village West-Pine Lake Park
Geographic Names Information System Levittown
Geographic Names Information System Lincoln Park
Geographic Names Information System Linden
Geographic Names Information System Lindenwold
Geographic Names Information System Little Falls
Geographic Names Information System Livingston
Geographic Names Information System Lodi
Geographic Names Information System Long Branch
Geographic Names Information System Lyndhurst
Geographic Names Information System Madison
Geographic Names Information System Manville
Geographic Names Information System Maple Shade
Geographic Names Information System Maplewood
Geographic Names Information System Marlton
Geographic Names Information System Mercerville-Hamilton Square
Geographic Names Information System Metuchen
Geographic Names Information System Middlesex
Geographic Names Information System Millburn
Geographic Names Information System Millville
Geographic Names Information System Montclair
Geographic Names Information System Moorestown-Lenola
Geographic Names Information System Morristown
Geographic Names Information System Mount Holly
Geographic Names Information System Nether Providence Township
Geographic Names Information System New Brunswick
Geographic Names Information System New Milford
Geographic Names Information System New Providence
Geographic Names Information System New York
Geographic Names Information System Newark
Geographic Names Information System Norristown
Geographic Names Information System North Bergen
Geographic Names Information System North Brunswick Township
Geographic Names Information System North Plainfield
Geographic Names Information System Nutley
Geographic Names Information System Oakland
Geographic Names Information System Ocean City
Geographic Names Information System Old Bridge
Geographic Names Information System Orange
Geographic Names Information System Palisades Park
Geographic Names Information System Paramus
Geographic Names Information System Parsippany-Troy Hills Township
Geographic Names Information System Passaic
Geographic Names Information System Paterson
Geographic Names Information System Pennsauken
Geographic Names Information System Pennsville
Geographic Names Information System Pequannock Township
Geographic Names Information System Perth Amboy
Geographic Names Information System Philadelphia
Geographic Names Information System Phillipsburg
Geographic Names Information System Phoenixville
Geographic Names Information System Pine Creek
Geographic Names Information System Plainfield
Geographic Names Information System Pleasantville
Geographic Names Information System Point Pleasant
Geographic Names Information System Pompton Lakes
Geographic Names Information System Pottstown
Geographic Names Information System Princeton
Geographic Names Information System Queens
Geographic Names Information System Radnor Township
Geographic Names Information System Rahway
Geographic Names Information System Ramsey
Geographic Names Information System Red Bank
Geographic Names Information System Richmond
Geographic Names Information System Ridgewood
Geographic Names Information System Ringwood
Geographic Names Information System River Edge
Geographic Names Information System Roselle
Geographic Names Information System Roselle Park
Geographic Names Information System Rutherford
Geographic Names Information System Saddle Brook
Geographic Names Information System Sayreville
Geographic Names Information System Scotch Plains
Geographic Names Information System Secaucus
Geographic Names Information System Somers Point
Geographic Names Information System Somerset
Geographic Names Information System Somerville
Geographic Names Information System South Orange
Geographic Names Information System South Plainfield
Geographic Names Information System South River
Geographic Names Information System Springfield
Geographic Names Information System State of Delaware
Geographic Names Information System State of New Jersey
Geographic Names Information System State of New York
Geographic Names Information System State of Pennsylvania
Geographic Names Information System Succasunna-Kenvil
Geographic Names Information System Summit
Geographic Names Information System Teaneck
Geographic Names Information System Tenafly
Geographic Names Information System Tinton Falls
Geographic Names Information System Totowa
Geographic Names Information System Trenton
Geographic Names Information System Union
Geographic Names Information System Union City
Geographic Names Information System Ventnor City
Geographic Names Information System Verona
Geographic Names Information System Vineland
Geographic Names Information System Wallington
Geographic Names Information System Wayne
Geographic Names Information System Weehawken
Geographic Names Information System West Caldwell
Geographic Names Information System West Chester
Geographic Names Information System West Freehold
Geographic Names Information System West Milford
Geographic Names Information System West New York
Geographic Names Information System West Norriton
Geographic Names Information System West Orange
Geographic Names Information System West Paterson
Geographic Names Information System Westfield
Geographic Names Information System Westwood
Geographic Names Information System Williamstown
Geographic Names Information System Willingboro
Geographic Names Information System Willow Grove
Geographic Names Information System Wilmington
Geographic Names Information System Woodbridge
Geographic Names Information System Woodbury
Geographic Names Information System Woodlyn
Geographic Names Information System Wyckoff
Geographic Names Information System Yeadon
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 NJ
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 NY
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, 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

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
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. Any conclusions drawn from the analysis of this information are not the responsibility of USGS, 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.

Support Roles

Data Steward

CC ID: 664309
Date Effective From: 2015-12-01
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: 664311
Date Effective From: 2015-12-01
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: 664312
Date Effective From: 2015-12-01
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: 664310
Date Effective From: 2015-12-01
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: 664315
W° Bound: -76.161454
E° Bound: -73.72734
N° Bound: 41.202519
S° Bound: 38.442389

Extent Group 1 / Time Frame 1

CC ID: 664314
Time Frame Type: Range
Start: 1880
End: 2014-07-01

Spatial Information

Spatial Representation

Representations Used

Grid: Yes

Grid Representation 1

CC ID: 664299
Dimension Count: 3
Cell Geometry: Point
Transformation Parameters Available?: No

Axis Dimension 1

Dimension Type: Row
Size: 305630

Axis Dimension 2

Dimension Type: Column
Size: 204107

Axis Dimension 3

Dimension Type: Vertical
Size: 1

Access Information

Security Class: Unclassified
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

CC ID: 721048
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=5040
Distributor:
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 721049
Download URL: https://coast.noaa.gov/htdata/raster2/elevation/NewJersey_Delaware_CoNED_Topobathy_DEM_2015_5040
Distributor:
File Name: Bulk Download
Description:

Simple download of data files.

URLs

URL 1

CC ID: 721051
URL: http://earthexplorer.usgs.gov
URL Type:
Online Resource

URL 2

CC ID: 721052
URL: http://nationalmap.gov/viewer.html
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 664589
Activity Date/Time: 2016-12-01
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 664588
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standard 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

CC ID: 718725
Activity Date/Time: 2018-02-08
Description:

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 721050
Activity Date/Time: 2018-02-13
Description:

Partial upload to move data access links to Distribution Info.

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.

Completeness Report:

Visual inspection

Conceptual Consistency:

Visual inspection

Lineage

Sources

2006 FEMA New Jersey Flood Mitigation Lidar: Highlands Area

CC ID: 664291
Contact Name: Office for Coastal Management
Extent Type: Range
Extent Start Date/Time: 2006-11-10
Extent End Date/Time: 2007-02-08
Citation URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=553
Source Contribution:

Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. LiDAR was flown for approximately 1675 square miles in Passaic, Sussex, Bergen, Morris, Warren, Hunterdon, and Somerset Counties in New Jersey and a small part of Orange County, New York with an Root Mean Square Error (RMSE) of 18.5 centimeters vertically and 95% confidence level. | Type of Source Media: onLine

2011 NOAA National Geodetic Survey (NGS) Lidar: Fire Island, NY and Cape May to Absecon Inlet, NJ

CC ID: 664293
Contact Name: Office for Coastal Management
Extent Type: Range
Extent Start Date/Time: 2011-07-16
Extent End Date/Time: 2011-11-25
Citation URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1170
Source Contribution:

This data set includes lidar intensity values and encoded RGB image values. Fire Island, NY data collected on Nov 25, 2011 and the Cape May to Absecon Inlet, NJ data was collected on July 16, 2011. | Type of Source Media: onLine

2012-2013 Post-Hurricane Sandy EAARL-B Submerged Topography - Barnegat Bay, New Jersey

CC ID: 664283
Contact Name: USGS/NOAA
Extent Type: Range
Extent Start Date/Time: 2012-11-01
Extent End Date/Time: 2013-01-10
Citation URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4730
Source Contribution:

These remotely sensed, geographically referenced elevation measurements of lidar-derived submerged topography datasets were produced by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, Florida. | Type of Source Media: onLine

3 Bare Earth DEMs (3D) Elevation Program (3DEP) Data Sets - 1932 - 2014

CC ID: 664289
Contact Name: USGS, National Geospatial Program Office (NGP), Customer Service Representative
Extent Type: Range
Extent Start Date/Time: 1932
Extent End Date/Time: 2014
Citation URL: http://nationalmap.gov/viewer.html
Source Contribution:

Historical and current 3 Bare-earth DEMs (3D) National Elevation Data | Source Geospatial Form: raster digital data | Type of Source Media: onLine

5-meter bathymetric data

CC ID: 664288
Contact Name: USGS - Woods Hole, MA
Publish Date: 2014-01-01
Citation URL: http://woodshole.er.usgs.gov/field-activity-data/2014-002-FA/bathy/2014-002-FA_bathy.zip
Source Contribution:

High-resolution geophysical data collected along the Delmarva Peninsula 2014, U.S. Geological Survey Field Activity 2014-002-FA | Source Geospatial Form: raster digital data | Type of Source Media: onLine

Atlantic City, NJ 1/3 Arc-Second MHW DEM, 1932-2007 - 90-meter topobathymetric data

CC ID: 664287
Contact Name: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publish Date: 2007-01-01
Citation URL: http://www.ngdc.noaa.gov/dem/squareCellGrid/download/595
Source Contribution:

Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAA degrees's tsunami forecasting and warning efforts. | Source Geospatial Form: raster digital data | Type of Source Media: onLine

Bathymetric-Topographic Digital Elevation Models for the U.S. Mid-Atlantic Coast impacted by Hurricane Sandy (1/9 arc-second)

CC ID: 664290
Contact Name: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Citation URL: http://www.ngdc.noaa.gov/mgg/inundation/sandy/data/tiles/
Source Contribution:

NOAA's National Geophysical Data Center (NGDC) is developing a suite of digital elevation models (DEMs) of the U.S. Atlantic Coast impacted by Hurricane Sandy in October 2012. The DEMs telescope from the deep ocean floor to the coastal zone in 3, 1, 1/3, and 1/9 arc-second cell sizes. Only the 1/9 arc-second DEMs integrate both bathymetric and topographic data; the remaining DEMs map bathymetry only. DEMs are tiled to enable targeted, rapid updates as new data become available. Source topographic and bathymetric data utilized for DEM creation were contributed by a variety of sources, including the NOAA Office of Coast Survey, NOAA National Geodetic Survey, NOAA Coastal Services Center, U.S. Geological Survey, and the U.S. Army Corps of Engineers. The DEMs are referenced vertically to the North American Vertical Datum of 1988. The vertical units of the data are meters. The DEMs are referenced horizontally to the North American Datum of 1983. The horizontal units of the data are decimal degrees. | Type of Source Media: onLine

EAARL Coastal Topography-Sandy Hook Unit, Gateway National Recreation Area, New Jersey, Post-Nor'Ida, 2009

CC ID: 664286
Contact Name: USGS
Citation URL: http://pubs.er.usgs.gov/publication/ds557
Source Contribution:

These remotely sensed, geographically referenced elevation measurements of lidar-derived bare-earth (BE) and first-surface (FS) topography datasets were produced collaboratively by the U.S. Geological Survey (USGS), St. Petersburg Coastal and Marine Science Center, St. Petersburg, FL, and the National Park Service (NPS), Northeast Coastal and Barrier Network, Kingston, RI. This project provides highly detailed and accurate datasets of a portion of the Sandy Hook Unit of Gateway National Recreation Area in New Jersey, acquired post-Nor'Ida (November 2009 nor'easter) on December 4, 2009. | Type of Source Media: dvd

H07887 - Upper Nanticoke Riv., Maryland

CC ID: 664285
Contact Name: Office of Coast Survey, National Ocean Service, NOAA, U.S. Department of Commerce, Hydrographic Services Division, IT Specialist
Source Contribution:

These hydrographic data are made available to the public for a wide variety of uses, such as sea-bottom characterization, habitat classification, coastal studies, boundary issues, and tsunami forecasting. These data are not intended to be used for navigation. Nautical charts produced and certified by NOAA should be used for navigation purposes. 1950 | Type of Source Media: onLine

NJNY_Gateway_2009Jul_USGS_1m

CC ID: 664292
Contact Name: USGS/NOAA
Publish Date: 2007-01-01
Citation URL: http://pubs.er.usgs.gov/publication/ds525
Source Contribution:

This DVD contains lidar-derived bare-earth (BE) and first-surface (FS) topography GIS datasets of a portion of the Gateway National Recreation Area in New Jersey and New York. These datasets were acquired July 8-9, 2009. | Source Geospatial Form: raster digital data | Type of Source Media: dvd

Ocean City, VA/MD/DE, 1/3 Arc-Second MHW DEM, 1880 to 2009 - 90-meter topobathymetric data

CC ID: 664284
Contact Name: National Geophysical Data Center, NESDIS, NOAA, U.S. Department of Commerce
Publish Date: 2009-01-01
Extent Type: Range
Extent Start Date/Time: 1880
Extent End Date/Time: 2009-12-31
Citation URL: http://www.ngdc.noaa.gov/dem/squareCellGrid/download/381
Source Contribution:

Developed for the Pacific Marine Environmental Laboratory (PMEL), NOAA Center for Tsunami Research program in support of NOAA degrees's tsunami forecasting and warning efforts. | Source Geospatial Form: raster digital data | Type of Source Media: onLine

Process Steps

Process Step 1

CC ID: 664294
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: 2014-02-01 00:00:00

Process Step 2

CC ID: 664295
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: 2015-02-01 00:00:00

Process Step 3

CC ID: 664296
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: 2015-02-01 00:00:00

Process Step 4

CC ID: 664297
Description:

Data were received from USGS by NOAA and ingested into the Digital Coast system for download via custom processing and http. Metadata was modified to reflect distribution through this mechanism.

Process Date/Time: 2016-05-27 00:00:00

Catalog Details

Catalog Item ID: 49467
GUID: gov.noaa.nmfs.inport:49467
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: 2022-08-09 17:11+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