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Photographs and locations of bottom still imagery collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-049-FA (JPEG images, point shapefile, and CSV file)

Dates

Publication Date
Start Date
2018-10-22
End Date
2018-10-23

Citation

Ackerman, S.D., Barnhardt, W.A., Worley, C.R., Nichols, A.R., Baldwin, W.E., and Evert, S., 2021, High-resolution geophysical and geological data collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activities 2018-001-FA and 2018-049-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P9C3J33K.

Summary

The natural resiliency of the New Jersey barrier island system, and the efficacy of management efforts to reduce vulnerability, depends on the ability of the system to recover and maintain equilibrium in response to storms and persistent coastal change. This resiliency is largely dependent on the availability of sand in the beach system. In an effort to better understand the system's sand budget and processes in which this system evolves, high-resolution geophysical mapping of the sea floor in Little Egg Inlet and along the southern end of Long Beach Island near Beach Haven, New Jersey was conducted from May 31 to June 10, 2018, followed by a sea floor sampling survey conducted from October 22 to 23, 2018, as part of a collaborative [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

2018-049-FA_photos_browse.jpg
“Image of bottom photograph locations from USGS Field Activity 2018-049-FA.”
thumbnail 284.88 KB image/jpeg
Shapefile: 2018-049-FA_photos.zip
2018-049-FA_photos.cpg 5 Bytes
2018-049-FA_photos.dbf 392.58 KB
2018-049-FA_photos.prj 143 Bytes
2018-049-FA_photos.qpj 257 Bytes
2018-049-FA_photos.shp 4.8 KB
2018-049-FA_photos.shx 1.44 KB
2018-049-FA_photos_JPG.zip 376.4 MB
2018-049-FA_photos.csv 31.5 KB

Purpose

This dataset is used to display the images and locations of bottom images acquired with a GoPro HERO4 Black camera on the mini-SEABed Observation and Sampling System (SEABOSS) aboard the Research Vessel (R/V) Petrel during USGS field activity 2018-049-FA (October 22-23). Imagery data serve as a means to visually classify grain size and are especially important for sites where no physical sediment sample was collected.

Additional Information

Shapefile Extension

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maxY39.55652784
maxX-74.20291861
files
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dateUploadedFri Sep 04 19:53:57 MDT 2020
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dateUploadedTue Apr 06 13:21:23 MDT 2021
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