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

Fire Island National Seashore Side-scan Sonar Data, 2015

Metadata Updated: June 4, 2024

This dataset presents the processed sidescan mosaic for Fire Island National Seashore. The acoustic sonar survey was conducted using a EdgeTech 6205, a Multi-Phase Echo sounder system. This combined bathymetry and dual-frequency sidescan sonar system is optimized for shallow water surveying. The sonar system was bow-mounted to a 28-ft pontoon survey vessel customized for shallow water surveying, including having a draft of less than one foot. Data was collected using GeoDas software developed by Ocean Imaging Consultants (OIC) and monitored topside in real-time to ensure quality of data and full-coverage sidescan was being achieved. The data were collected in association with an Applanix POS MV system to assure positional accuracy and to correct for vessel motion (pitch, roll, heave). The survey was designed to acquire full-coverage sidescan data and partial coverage bathymetry data. As such, the survey was composed of parallel track lines with line spacing of 35 to 50 m and a sonar swath range of 50 m (25 m per side) to ensure overlap with adjacent lines. The raw sidescan and bathymetry records were processed using OIC CleanSweep software (Version 3.8.0, Build #263). All of the acoustic data were examined manually to confirm quality and accuracy. For sidescan, processing followed standard techniques of bottom-tracking the data and then applying angle-varying gains (AVG) and look-up tables (LUT) as necessary to correct for water column returns, arrival angle, and contrast to produce color-balanced sidescan sonar images. The native images are displayed as an inverse gold color scale, with pixel values ranging from zero (dark gold) to 255 (white). The lighter pixels indicate hard acoustic returns and represent the presence of hard surficial sediments (e.g. coarse sand, cobbles, and boulders), whereas darker pixels represent the presence of soft sediments, which tend to absorb sound to a greater degree. The horizontal coordinate system was set to UTM Zone 18N and sidescan data was processed to 25cm pixel resolution.

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



Metadata Created Date June 1, 2023
Metadata Updated Date June 4, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date June 4, 2024
Publisher National Park Service
Identifier NPS_DataStore_2278061
Data First Published 2017-04-19T12:00:00Z
Data Last Modified 2017-04-19
Category geospatial
Public Access Level public
Bureau Code 010:24
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Data Quality True
Harvest Object Id 69bfaadb-e373-4f42-8887-38e5aefe80c3
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Homepage URL
Metadata Type geospatial
Old Spatial -73.23551,40.62486,-72.7532,40.7806244
Program Code 010:118, 010:119
Publisher Hierarchy White House > U.S. Department of the Interior > National Park Service
Related Documents,
Source Datajson Identifier True
Source Hash 3d6d8bdeb8bc3c33ba67414f5e698a5517ede841b618bce22619ec2eeceeb3db
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -73.23551, 40.62486, -73.23551, 40.7806244, -72.7532, 40.7806244, -72.7532, 40.62486, -73.23551, 40.62486}
Temporal 2014-01-01T12:00:00Z/2015-01-01T12:00:00Z

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