Videos and tracklines along which bottom video was collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-049-FA (MP4 video files and polyline shapefile)

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Frequently anticipated questions:

What does this data set describe?

Title:
Videos and tracklines along which bottom video was collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-049-FA (MP4 video files and polyline shapefile)
Abstract:
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 effort between the U.S. Geological Survey and Stockton University. Multibeam echo sounder bathymetry and backscatter data were collected along 741 kilometers of tracklines (approximately 200 square kilometers) of the coastal sea floor to regionally define its depth and morphology, as well as the type and distribution of sea-floor sediments. Six hundred ninety-two kilometers of seismic-reflection profile data were also collected to define the thickness and structure of sediment deposits in the inlet and offshore. These new data will help inform future management decisions that affect the natural and recreational resources of the area around and offshore of Little Egg Inlet. These mapping surveys provide high-quality data needed to build scientific knowledge of the evolution and behavior of the New Jersey barrier island system.
Supplemental_Information:
Bottom photographs were also taken at all but six sampling sites (see shapefile 2018-049-FA_photos.shp available from the larger work citation). Physical sediment samples, which provide additional information about the seabed, were also collected at most stations and analyzed in the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center (see 2018-049-FA_samples.csv available from the larger work citation).
The sampling data were collected to ground truth (verify) acoustic data collected during USGS field activity 2018-001-FA. Additional information on the field activities associated with this project are available at https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-001-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2018-049-FA.
  1. How might this data set be cited?
    U.S. Geological Survey, 20210422, Videos and tracklines along which bottom video was collected in Little Egg Inlet and offshore the southern end of Long Beach Island, NJ, during USGS Field Activity 2018-049-FA (MP4 video files and polyline shapefile): data release DOI:10.5066/P9C3J33K, U.S. Geological Survey, Coastal and Marine Hazards and Resources Program, Woods Hole Coastal and Marine Science Center, Woods Hole, Massachusetts.

    Online Links:

    This is part of the following larger work.

    Ackerman, Seth D., Barnhardt, Walter A., Worley, Charles R., Nichols, Alex R., Baldwin, Wayne E., and Evert, Steve, 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: data release DOI:10.5066/P9C3J33K, U.S. Geological Survey, Reston, VA.

    Online Links:

    Other_Citation_Details:
    Suggested 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.
  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -74.453776
    East_Bounding_Coordinate: -74.202883
    North_Bounding_Coordinate: 39.556553
    South_Bounding_Coordinate: 39.387600
  3. What does it look like?
    https://www.sciencebase.gov/catalog/file/get/5f5e36b982ce3550e3bfed98/?name=2018-049-FA_videos_browse.jpg (JPEG)
    Image of bottom video locations off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA.
  4. Does the data set describe conditions during a particular time period?
    Beginning_Date: 22-Oct-2018
    Ending_Date: 23-Oct-2018
    Currentness_Reference:
    ground condition
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: raster and vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • String (72)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000005. Longitudes are given to the nearest 0.000005. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is D_WGS_1984.
      The ellipsoid used is WGS_1984.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257224.
  7. How does the data set describe geographic features?
    2018-049-FA_VideoLines.shp
    Bottom videos and locations of bottom video tracklines collected off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA. (Source: U.S. Geological Survey)
    FID
    Internal feature number. (Source: Esri) Sequential unique whole numbers that are automatically generated.
    Shape
    Feature geometry. (Source: Esri) Coordinates defining the features.
    SMPL_SITE
    Sampling site at which the image was taken (e.g. 2018-049-FA-001 where 2018-049-FA is the Field Activity Number and -001 is the sequential SEABOSS sampling site number). These sampling sites correspond to the sediment sample data (2018-049-FA_samples) that is part of this data release. (Source: U.S. Geological Survey) String used to distinguish sampling site.
    VIDFILE
    Name of bottom video used to uniquely identify between cameras and video files: e.g., 2018-049-FA-001_SeaViewer6000_20181022T131302Z_CLIP0000084.mp4 where 2018-049-FA-001 refers to the sampling site (the 2018-049-FA within that refers to the USGS field activity identifier), SeaViewer6000 refers to the camera, 20181022T131302Z refers to the date and start time in the ISO 8601 standard (YYYYMMDD T [time separator] HHMMSS Z [Zulu/UTC time]), and CLIP0000084.mp4 refers to the sequential video number assigned to the video by the recording device. (Source: U.S. Geological Survey) String used to distinguish bottom video filename.
    START_UTC
    Start time of the bottom video drift in UTC; in the format JDX_HHMMSS where JDX is the Julian Date (sequential day of the year value), HH indicates hour in 24-hour time, MM indicates minutes, and SS indicated seconds. (Source: U.S. Geological Survey) String used to distinguish UTC start times of the bottom video.
    END_UTC
    End time of the bottom video drift in UTC; in the format JDX_HHMMSS where JDX is the Julian Date (sequential day of the year value), HH indicates hour in 24-hour time, MM indicates minutes, and SS indicated seconds. (Source: U.S. Geological Survey) String used to distinguish UTC end times of the bottom video.
    DATE
    UTC date that the bottom video was collected in the format YYYY:MM:DD. (Source: U.S. Geological Survey) String used to distinguish dates.
    CAMERA
    Camera used to collect bottom video. (Source: U.S. Geological Survey) String used to distinguish between different camera models mounted on the grab sampler; however, for this survey, only one camera was used to collect bottom video.
    FA_ID
    USGS Woods Hole Coastal and Marine Science Center field activity identifier (e.g., 2018-049-FA where 2018 is the survey year, 049 is survey number of that year, and FA is Field Activity). (Source: U.S. Geological Survey) String used to distinguish field activities by year and ID number.
    DEVICE_ID
    Sampling device used to collect the bottom video. (Source: U.S. Geological Survey) String used to identify the sampling configuration used during the survey.
    VEHICLE_ID
    Vehicle (ship) used to collect data during survey 2018-049-FA. (Source: U.S. Geological Survey) String used to identify the survey vessel.
    LENGTH
    Length in meters of the bottom video trackline. Length was calculated in WGS 84 UTM Zone 18N. (Source: U.S. Geological Survey)
    Range of values
    Minimum:2.64
    Maximum:70.42
    Units:meters
    Resolution:0.01
    2018-001-FA_videos_MP4
    MP4 video files of the bottom video from survey 2018-049-FA (74 MP4 video files) (Source: U.S. Geological Survey)

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
  3. To whom should users address questions about the data?
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov

Why was the data set created?

This dataset is used to display the videos and locations of bottom videos acquired with a SeaViewer 6000 HD Sea-Drop video camera on the mini-SEABed Observation and Sampling System (SEABOSS) aboard the Research Vessel (R/V) Petrel during USGS field activities 2018-049-FA (October 22-23). Video imagery data serve as a means to visually classify grain size and are especially important for sites where no physical sediment sample was collected.

How was the data set created?

  1. From what previous works were the data drawn?
    Bottom video and raw navigation files (source 1 of 1)
    U.S. Geological Survey, Unpublished Material, Bottom video and navigation data.

    Type_of_Source_Media: disc
    Source_Contribution:
    Bottom imagery was acquired using the mini-SEABOSS. The observations from still and video cameras and the sediment data are used to explore the nature of the sea floor and, in conjunction with high-resolution geophysical data, to make interpretive maps of sedimentary environments and validate acoustic remote sensing data. This configuration of the mini-SEABOSS incorporates a downward-looking SeaViewer HD video camera with a topside feed, two GoPro HERO4 Black cameras recording still images (one was attached to the SEABOSS frame another was extended on a removable pole that was forward of the SEABOSS approximately 1 meter in hopes of getting a clearer, unobstructed view of the seabed), a modified Van Veen sediment grab sampler, and lights to illuminate the seabed for video and photographs. The elements of this particular SEABOSS system are held within a stainless-steel frame that measures 0.9 x 0.9 x 1.25 meters. The frame has two stabilizer fins that orient the system as it drifts over the seabed. Two red lasers were set 20 centimeters apart (both as they are mounted on the SEABOSS frame and as seen in photographs and video on the seabed) for scale measurements. The red laser dots can usually be seen in the imagery depending on the bottom type and distance to the sea floor. The R/V Petrel occupied one of the target stations and the SEABOSS was deployed off the vessel's A-frame on the stern of the ship. The winch operator lowered the sampler until the sea floor was observed in the topside live video feed. The vessel and sampler then drifted with wind and current for up to a few minutes to ensure a decent image with a clear view of the sea floor was acquired. Usually at the end of a short drift, the winch operator lowered the Van Veen sampler until it rested on the sea floor. When the system was raised, the Van Veen sampler closed and collected a sample as it was lifted off the sea floor. The sampler was recovered to the deck of the survey vessel where a subsample was taken for analysis at the sediment laboratory at the USGS Woods Hole Coastal and Marine Science Center. The GoPro camera time were set to UTC; calibration photographs with the navigation system indicate that the camera time were off by an average of 5 seconds from the GPS time, so the time offsets were corrected during the geotagging process. During some of the survey, the seabed turbidity made it such that no usable images were able to be acquired. In these cases, brief glimpses of the sea floor may be visible in the coincident video files. Bottom video was recorded from the downward-looking camera directly to hard drives using an Odyssey7 video recorder. The image dimensions of the GoPro photos are 4,000 x 3,000 pixels. The imaged area is most often within 0.5 to 1.25 meters from left to right. DGPS navigation from the R/V Petrel's Hemisphere VS330 GPS receiver was logged to the ship's HYPACK computer (HYPACK version 2017a) and, as a backup, through ArcGIS using the ArcMap GPS extension. The main source of navigation data was the ship's HYPACK files.
  2. How were the data generated, processed, and modified?
    Date: 23-Oct-2018 (process 1 of 5)
    A total of 70 sites were occupied aboard the R/V Petrel with the mini-SEABOSS (Blackwood and Parolski, 2001) in October 2018 during USGS survey 2018-049-FA. See the source contribution section of this metadata file for additional system configuration details. The R/V Rafael occupied one of the target stations, the mini-SEABOSS sampler was deployed, and then the vessel and sampler drifted with wind and current for up to a few minutes to ensure a decent video with a clear view of the sea floor. Bottom video was recorded from the downward-looking SeaViewer video camera directly on to SSD media using an Odyssey7 video recorder. This process step and all subsequent steps were performed by the same person unless otherwise noted. Person who carried out this activity:
    Seth Ackerman
    U.S. Geological Survey
    Geologist
    384 Woods Hole Rd.
    Woods Hole, MA
    USA

    508-548-8700 x2315 (voice)
    508-457-2310 (FAX)
    sackerman@usgs.gov
    Data sources produced in this process:
    • Original bottom video
    Date: Feb-2019 (process 2 of 5)
    The original video files were copied from the Odyssey7 SSD to the processing computer. A shell script (TCBURN_2018-049_sda2txt_NEW.csh) was run, using FFMPEG and FFPROBE to join the video clips for each station (the Odyssey7 splits clips into less than 4GB segments), burn the date and time in UTC on to the upper right corner of the video, and transcode the video from MOV to MP4 format. The script also created a text file with the date, start time, and duration of each video recording. The videos were renamed to include the sampling site ID (which includes the field activity identifier), camera, and date and start time in the ISO 8601 standard in the filename. Data sources used in this process:
    • Original bottom video
    Data sources produced in this process:
    • Final bottom video
    • Start times/durations text file
    Date: 12-Feb-2020 (process 3 of 5)
    DGPS navigation from a Hemisphere VS330 receiver was logged with the ship's HYPACK computer and, as a backup, through ArcGIS using the ArcMap GPS extension. The GPS was set to receive fixes at a one-second interval in geographic coordinates (WGS 84). Dates and times were recorded in Coordinated Universal Time (UTC). The primary navigation log files (from HYPACK) were saved for each Julian day in HYPACK RAW format. The backup navigation logged in ArcGIS was saved as Esri point shapefiles. Part 1 of a Python Jupyter Notebook (Hypack_NJ2018-Feb2020.ipynb) was run on the log files to parse for the GPRMC navigation string and create ASCII Comma Separated Values (CSV) text files (each one with "_out.txt" appended to the original filename). These output files were concatenated together for each survey day separately creating the files Oct22_ALLNav_v2_Hypack.RAW and Oct23_ALLNav_v2_Hypack.RAW. Part 2 of a Python Jupyter Notebook (Hypack_NJ2018-Feb2020.ipynb) then reads back in these RAW files and outputs parsed navigation data files called Oct22_parsed.csv and Oct23_parsed.csv.
    An extended dropout in HYPACK navigation recording occurred on October 23 between 15:52:48 and 16:51:03 UTC during deployments at sampling sites 2018-049-FA-062 and 2018-049-FA-063, so the Oct23_parsed.csv file was renamed Oct23_parsed_v2_Hypack_gap.csv. To account for the missing time period, backup GPS data logged in the ArcMap were extracted from the shapefile, exported to a csv file (Oct23_parsed_v2_ArcMap_gapfill.csv), reformatted to match the parsed HYPACK navigation data file, and combined with that file to create a new file for the entire day (Oct23_parsed_v3_filled.csv).
    The resulting navigation files for each day (Oct22_parsed.csv and Oct23_parsed_v3_filled.csv) were then each run through a Python Jupyter Notebook (Interp_NAV_Feb2020_forNJ2018-049.ipynb) that performed an interpolation routine that filled small gaps in the navigation, usually on the order of 10 to 30 second dropouts. The two interpolated navigation files were concatenated into the file 2018-049-FA_AllNav_interpolated_FINAL.csv Data sources used in this process:
    • Raw HYPACK navigation files
    • Esri point shapefiles
    Data sources produced in this process:
    • Processed interpolated navigation file
    Date: 03-Apr-2020 (process 4 of 5)
    A Jupyter Notebook Python script (Video_trackline_prep_WORKING_v2.ipynb) was run to create a shapefile of the bottom video trackline points by extracting the navigation fixes for each video drift using information from the start times/durations text file. The script reads the video start time and duration from the text file, calculates the video end time, extracts the navigation points that fall within those start and end times, and exports the navigation fixes to a CSV file (Vidpoints_2018-049-FA_All.csv). The script also creates an Esri Point Shapefile (Vidpoints_2018-049-FA_All.shp) that can be used to create a trackline for each video location. Data sources used in this process:
    • Processed navigation file
    • Start times/durations text file
    Data sources produced in this process:
    • Bottom video track point CSV file
    • Bottom video track point shapefile
    Date: 03-Apr-2020 (process 5 of 5)
    The point shapefile created in the previous step was converted to a polyline shapefile in QGIS (version 3.10) using the Points to Path tool (Input point layer: Vidpoints_2018-049-FA_All.shp; Order field: jd_time; Group field: vidname; Date format: blank; Paths: 2018-049-FA_VideoLines.shp). Video trackline lengths were calculated using the QGIS tool Add Geometry Attributes (using the project CRS to achieve trackline length in meters). The attribute table field names were updated using the Layer Properties dialog and new fields for date of collection (DATE), camera used (CAMERA), survey ID (FA_ID), sampling device used to collect the video (DEVICE_ID), and survey vessel (VEHICLE_ID). The QGIS tool Refactor was used to reorder the fields and set the precision for the new length field. Data sources used in this process:
    • Bottom video track point shapefile
    Data sources produced in this process:
    • Bottom video tracklines shapefile
  3. What similar or related data should the user be aware of?
    Blackwood, D., and Parolski, K., 2001, Seabed observation and sampling system: Sea Technology v. 42, no. 2, p. 39-43, Compass Publications, Inc., Arlington, VA.

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The end time of the video drift used to map the bottom video tracklines (field ENDTIME in the shapefile) was calculated using the video start time and duration. This end time may be off by up to two seconds and was not assessed for accuracy by comparing it with the time burned on to the upper right corner of the video's last frame.
  2. How accurate are the geographic locations?
    Sources of horizontal inaccuracy may be due to the video start and end times used to create the shapefile or the navigation data. The end time of the video drift used to map the bottom video tracklines (field ENDTIME in the shapefile) was calculated using the video start time and duration, rather than using the time burned on the upper right corner of the video's last frame. The calculated end time may be off by up to two seconds and accounts for +/- 1 meter of horizontal uncertainty. The R/V Petrel's Differential GPS (DGPS) system supplied navigation for survey 2018-049-FA. The GPS was set to receive fixes at a one-second interval in geographic coordinates (World Geodetic System of 1984 [WGS 84]) however in some cases where navigation may have dropped for a short amount of time, the location was interpolated (see process steps). The recorded position of each image is the position of the GPS antenna on the survey vessel, located on the aft starboard side of the wheelhouse, not the location of the SEABOSS sampler. The antenna was located approximately 3 meters from the deployment point of the sampler. No layback or offset was applied to the recorded position. In addition, the sampler may drift away from the survey vessel when deployed to the sea floor. Based on the various sources of horizontal offsets, a conservative estimate of the horizontal accuracy of the bottom image locations is 5-7 meters.
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    This dataset includes bottom video in MP4 format and a trackline shapefile of the location of the ship for the duration of the video during USGS survey 2018-049-FA. 70 stations were occupied within the study area, and bottom video was acquired at 68 of the 70 stations. Poor visiblity and/or recording malfunctions at stations 2018-049-FA-053 and 2018-049-FA-059 resulted in no usable video footage. Stations 2018-049-FA-005, 2018-049-FA-016, 2018-049-FA-063, and 2018-049-FA-068 have two video clips each.
  5. How consistent are the relationships among the observations, including topology?
    All bottom videos were acquired using a SeaViewer 6000 HD Sea-Drop video camera on the mini-SEABOSS. Gaps in sequential clip numbers exist because videos taken in the water column were not processed. The tracklines may self-intersect or self-overlap; at times the ship was moving so slowly that the resolution of the Differential Global Positioning System (DGPS) makes a trackline appear to double back on itself.

How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?
Access_Constraints: None
Use_Constraints:
Public domain data from the U.S. Government are freely distributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey - ScienceBase
    U.S. Geological Survey
    Denver Federal Center, Building 810, Mail Stop 302
    Denver, CO
    United States

    1-888-275-8747 (voice)
    sciencebase@usgs.gov
  2. What's the catalog number I need to order this data set? Sea floor video and location of video transects collected off southern Long Beach Island, New Jersey during USGS Field Activity 2018-049-FA, using a SeaViewer video camera on the USGS SEABOSS: includes a shapefile of the bottom video trackline locations (2018-049-FA_VideoLines.shp); 72 bottom videos from the SeaViewer 6000 HD Sea-Drop video camera(2018-049-FA_videos_MP4.zip); a browse graphic of bottom video trackline locations (2018-049-FA_videos_browse.jpg); and Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM) metadata.
  3. What legal disclaimers am I supposed to read?
    Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
  4. How can I download or order the data?
  5. What hardware or software do I need in order to use the data set?
    This dataset contains data available in polyline shapefile format and MP4 video files. The user must have software capable of reading shapefile format to use the polyline shapefile. A video viewer can be used to see the MP4 video files.

Who wrote the metadata?

Dates:
Last modified: 22-Apr-2021
Metadata author:
Seth Ackerman
U.S. Geological Survey
Geologist
384 Woods Hole Rd.
Woods Hole, MA
USA

508-548-8700 x2315 (voice)
508-457-2310 (FAX)
sackerman@usgs.gov
Metadata standard:
FGDC Content Standard for Digital Geospatial Metadata (FGDC-STD-001-1998)
This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9C3J33K/2018-049-FA_VideoLines_meta.faq.html>
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