Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

NOS_5m_INT_HS.tif: 5-meter hillshaded-relief image produced from 23 multibeam hydrographic surveys collected off the Delmarva Peninsula by the National Oceanic and Atmospheric Administration's National Ocean Service between 2006 and 2011 (GeoTIFF, UTM Zone 18N, WGS 84)

Metadata Updated: July 6, 2024

Between 2006 and 2011 Science Applications International Corporation (SAIC), under contract by the National Oceanic and Atmospheric Administration's (NOAA) National Ocean Service (NOS), collected twenty-three hydrographic surveys totaling over 4100 square-kilometers of Reson multibeam bathymetric and Klein sidescan-sonar data for the purposes of updating nautical charts. Data extended from the entrance of Delaware Bay south to Parramore Island in water depths from about 3 to 35 meters below mean lower low water. Data were collected at a fixed 40-meter line spacing which provided 40-100 percent seafloor coverage for multibeam bathymetry. NOS releases processed bathymetry via an interactive map interface in bathymetry attributed grid (BAG) format. All twenty-three survey datasets were downloaded, merged, resampled, and interpolated to fill data gaps. Sidescan data products are limited within the Delmarva survey area and there are no multibeam backscatter data products available. The U.S. Geological Survey obtained the raw Reson multibeam data files from SAIC and NOAA for twenty of the hydrographic surveys and extracted the backscatter data using Quality Positioning Service's (QPS) Fledermaus FMGeocoder Toolbox (FMGT) to produce backscatter mosaics for the inner-continental shelf of the Delmarva Peninsula. Backscatter mosaics and regional seamless bathymetric datasets created from NOAA data are a valuable tool for characterizing seafloor geology, sediment transport pathways, and marine resources. Additionally, obtaining this near full seafloor coverage backscatter and bathymetry dataset from an existing source greatly increased project deliverables, geophysical survey efficiency, collaboration among government agencies, and the area over which geologic data interpretations can be conducted by the USGS.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date May 31, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date May 31, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e07e7ff9e42770d741f3e69d2245731b
Identifier USGS:2623aa31-d05f-43c6-8dd3-aaec7db98323
Data Last Modified 20240318
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id aef54be1-203f-4678-9276-c79e21123f3f
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -75.655396,37.456622,-74.570266,38.814829
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash bd63370e973c393f5c561fe17784e230f0c74885078f5fa2902abb8cd6591ce1
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -75.655396, 37.456622, -75.655396, 38.814829, -74.570266, 38.814829, -74.570266, 37.456622, -75.655396, 37.456622}

Didn't find what you're looking for? Suggest a dataset here.